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Screenpipe — Archive
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All docs · AFFiNE
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SQLite Web: archive.db
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
2 TB in 25 MB/s - Google Search
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Close Google Gemini (⌃X)
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Google Account: Lukáš Koválik ([EMAIL])
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
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Screenpipe — Archive
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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Redo
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Your privacy and Gemini Opens in a new window
Your privacy and Gemini
Opens in a new window
Summarize page
Summarize page...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659529059_m2.jpg...
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SQLite Web: archive.db
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
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Google Account: Lukáš Koválik ([EMAIL])
Main menu
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Edit
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Redo
Share and export
Copy
Show more options
Ask Gemini
Ask Gemini
Open upload file menu
Tools
Open mode picker
Pro
Microphone
Send message
Gemini is AI and can make mistakes, including about people.
Your privacy and Gemini Opens in a new window
Your privacy and Gemini
Opens in a new window
Summarize page
Summarize page
...
|
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"bounds":{"left":0.0787899,"top":0.0,"width":0.079953454,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.030418882,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"bounds":{"left":0.12184176,"top":0.0,"width":0.15558511,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21442819,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"bounds":{"left":0.13297872,"top":0.0,"width":0.042054523,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21675532,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"bounds":{"left":0.09142287,"top":0.12210695,"width":0.21392952,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"bounds":{"left":0.0787899,"top":0.20430966,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. 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If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"bounds":{"left":0.09142287,"top":0.5642458,"width":0.21010639,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"bounds":{"left":0.09142287,"top":0.61452514,"width":0.011303191,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"bounds":{"left":0.120678194,"top":0.61452514,"width":0.008144947,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"bounds":{"left":0.14960106,"top":0.61452514,"width":0.020944148,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"bounds":{"left":0.09142287,"top":0.61452514,"width":0.21542554,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"bounds":{"left":0.09142287,"top":0.66480446,"width":0.028922873,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"bounds":{"left":0.12034574,"top":0.66480446,"width":0.106715426,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"bounds":{"left":0.09142287,"top":0.66480446,"width":0.21991356,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). 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click
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Screenpipe — Archive
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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Copy
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Your privacy and Gemini Opens in a new window
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Opens in a new window
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Summarize page
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
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DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
Close tab
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Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
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Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
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New Tab
Customize sidebar
Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
Bitwarden
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Close
Google Account: Lukáš Koválik ([EMAIL])
Main menu
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Gemini
New chat
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Conversation with Gemini
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Copy prompt
Edit
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Redo
Share and export
Copy
Show more options
Ask Gemini
Ask Gemini
Open upload file menu
Tools
Open mode picker
Pro
Microphone
Send message
Gemini is AI and can make mistakes, including about people.
Your privacy and Gemini Opens in a new window
Your privacy and Gemini
Opens in a new window
Summarize page
Summarize page
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Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.030418882,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"bounds":{"left":0.12184176,"top":0.0,"width":0.15558511,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21442819,"height":0.037110932},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"bounds":{"left":0.13297872,"top":0.0,"width":0.042054523,"height":0.016360734},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"bounds":{"left":0.09142287,"top":0.0,"width":0.21675532,"height":0.057861134},"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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Opens side panel.","depth":29,"bounds":{"left":0.203125,"top":0.039505187,"width":0.008643617,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"bounds":{"left":0.09142287,"top":0.06863528,"width":0.021775266,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"bounds":{"left":0.11319814,"top":0.06863528,"width":0.12849069,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"bounds":{"left":0.24168883,"top":0.06863528,"width":0.043218084,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"bounds":{"left":0.09142287,"top":0.06863528,"width":0.21392952,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"bounds":{"left":0.0787899,"top":0.15083799,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. 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Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.6169194,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the 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security.","depth":17,"bounds":{"left":0.6313165,"top":0.50758183,"width":0.050199468,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Apply","depth":18,"bounds":{"left":0.7162567,"top":0.71907425,"width":0.02825798,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage","depth":13,"bounds":{"left":0.5510306,"top":0.3719074,"width":0.014960106,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"","depth":13,"bounds":{"left":0.73886305,"top":0.367917,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"","depth":14,"bounds":{"left":0.74019283,"top":0.37110934,"width":0.005319149,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.36552528,"top":0.41101357,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Overview","depth":19,"bounds":{"left":0.37483376,"top":0.41260973,"width":0.020611702,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.36552528,"top":0.44932163,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Storage","depth":19,"bounds":{"left":0.37483376,"top":0.4509178,"width":0.017287234,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.36552528,"top":0.48762968,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Hard Drive","depth":19,"bounds":{"left":0.37483376,"top":0.48922586,"width":0.023603724,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.36552528,"top":0.52593774,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"External Storage","depth":19,"bounds":{"left":0.37483376,"top":0.5275339,"width":0.036901597,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Storage pool & Volume","depth":18,"bounds":{"left":0.43168217,"top":0.4066241,"width":0.05086436,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Data organizing","depth":18,"bounds":{"left":0.49085772,"top":0.4066241,"width":0.034906916,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Advanced settings","depth":18,"bounds":{"left":0.5340758,"top":0.4066241,"width":0.04138963,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Create ","depth":17,"bounds":{"left":0.43134972,"top":0.44772545,"width":0.026595745,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Create","depth":18,"bounds":{"left":0.43567154,"top":0.4517159,"width":0.011968086,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.4502992,"top":0.45251396,"width":0.0039893617,"height":0.009577015},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.4396609,"top":0.5139665,"width":0.005319149,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Storage Pool 1","depth":17,"bounds":{"left":0.47689494,"top":0.5019952,"width":0.03523936,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Description","depth":19,"bounds":{"left":0.5147939,"top":0.5051876,"width":0.019946808,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.53640294,"top":0.50558656,"width":0.0039893617,"height":0.009577015},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Normal","depth":17,"bounds":{"left":0.47955453,"top":0.52593774,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"RAID 1","depth":17,"bounds":{"left":0.49966756,"top":0.52593774,"width":0.012965426,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Hard Drive 1、2","depth":17,"bounds":{"left":0.51795214,"top":0.5243416,"width":0.028590426,"height":0.01396648},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"5.4TB","depth":17,"bounds":{"left":0.5518617,"top":0.52593774,"width":0.010638298,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":20,"bounds":{"left":0.7278923,"top":0.51476455,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Volume 1","depth":19,"bounds":{"left":0.46625665,"top":0.5794094,"width":0.022107713,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Description","depth":20,"bounds":{"left":0.49102393,"top":0.5810056,"width":0.019946808,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":20,"bounds":{"left":0.51263297,"top":0.5814046,"width":0.0039893617,"height":0.009577015},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Normal","depth":19,"bounds":{"left":0.46891624,"top":0.6017558,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Btrfs","depth":19,"bounds":{"left":0.48836437,"top":0.6017558,"width":0.00831117,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"5.4TB","depth":19,"bounds":{"left":0.50199467,"top":0.6017558,"width":0.010638298,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Used: 3.6TB","depth":20,"bounds":{"left":0.6080452,"top":0.58220273,"width":0.022107713,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.7278923,"top":0.58898646,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":17,"bounds":{"left":0.4396609,"top":0.67917,"width":0.005319149,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Storage Pool 2","depth":17,"bounds":{"left":0.47689494,"top":0.6671987,"width":0.03523936,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Description","depth":19,"bounds":{"left":0.5147939,"top":0.6703911,"width":0.019946808,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":19,"bounds":{"left":0.53640294,"top":0.6707901,"width":0.0039893617,"height":0.009577015},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Normal","depth":17,"bounds":{"left":0.47955453,"top":0.69114125,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Basic","depth":17,"bounds":{"left":0.49966756,"top":0.69114125,"width":0.009807181,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"M.2 Hard Drive 2","depth":17,"bounds":{"left":0.5147939,"top":0.69114125,"width":0.030086435,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"916.1GB","depth":17,"bounds":{"left":0.55019945,"top":0.69114125,"width":0.015791224,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":20,"bounds":{"left":0.7278923,"top":0.67996806,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Volume 2","depth":19,"bounds":{"left":0.46625665,"top":0.74461293,"width":0.022107713,"height":0.014365523},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Description","depth":20,"bounds":{"left":0.49102393,"top":0.7462091,"width":0.019946808,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":20,"bounds":{"left":0.51263297,"top":0.74660814,"width":0.0039893617,"height":0.009577015},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Normal","depth":19,"bounds":{"left":0.46891624,"top":0.7669593,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Btrfs","depth":19,"bounds":{"left":0.48836437,"top":0.7669593,"width":0.00831117,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"916.1GB","depth":19,"bounds":{"left":0.50199467,"top":0.7669593,"width":0.015625,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Used: 217.8GB","depth":20,"bounds":{"left":0.6080452,"top":0.74740624,"width":0.027260639,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.7278923,"top":0.75418997,"width":0.0066489363,"height":0.015961692},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Volume usage","depth":20,"bounds":{"left":0.5412234,"top":0.43974462,"width":0.026595745,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"","depth":19,"bounds":{"left":0.640625,"top":0.43575418,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.6419548,"top":0.43894652,"width":0.005319149,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Used: 3.6TB/5.4TB","depth":19,"bounds":{"left":0.46542552,"top":0.4828412,"width":0.03956117,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Available 1.7TB","depth":19,"bounds":{"left":0.6136968,"top":0.4828412,"width":0.032579787,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it","depth":19,"bounds":{"left":0.46542552,"top":0.5027933,"width":0.17170878,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"User Folder","depth":20,"bounds":{"left":0.46542552,"top":0.5714286,"width":0.024268618,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"129.6GB","depth":20,"bounds":{"left":0.62732714,"top":0.5714286,"width":0.018284574,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Shared Folder","depth":20,"bounds":{"left":0.46542552,"top":0.60335195,"width":0.029421542,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3.4TB","depth":20,"bounds":{"left":0.633145,"top":0.60335195,"width":0.012466756,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Snapshot","depth":20,"bounds":{"left":0.46542552,"top":0.63527536,"width":0.019614361,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.48636967,"top":0.63567436,"width":0.004654255,"height":0.011572227},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"--","depth":20,"bounds":{"left":0.64245343,"top":0.63527536,"width":0.0031582448,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exclusive(Exclusive)","depth":20,"bounds":{"left":0.46542552,"top":0.66280925,"width":0.036402926,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"0B","depth":20,"bounds":{"left":0.64079124,"top":0.66201115,"width":0.0048204786,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Shared(Shared)","depth":20,"bounds":{"left":0.46542552,"top":0.68595374,"width":0.028424202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"0B","depth":20,"bounds":{"left":0.64079124,"top":0.68515563,"width":0.0048204786,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"LUN","depth":20,"bounds":{"left":0.46542552,"top":0.7118915,"width":0.00930851,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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-6847605483109898768
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8928671098401258375
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visual_change
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accessibility
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NULL
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Screenpipe — Archive
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SQLite Web: archive.db
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Enable
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Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
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Apply
Storage
Overview
Storage
Hard Drive
External Storage
Storage pool & Volume
Data organizing
Advanced settings
Create
Create
Storage Pool 1
Description
Normal
RAID 1
Hard Drive 1、2
5.4TB
Volume 1
Description
Normal
Btrfs
5.4TB
Used: 3.6TB
Storage Pool 2
Description
Normal
Basic
M.2 Hard Drive 2
916.1GB
Volume 2
Description
Normal
Btrfs
916.1GB
Used: 217.8GB
Volume usage
Used: 3.6TB/5.4TB
Available 1.7TB
Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
User Folder
129.6GB
Shared Folder
3.4TB
Snapshot
--
Exclusive(Exclusive)
0B
Shared(Shared)
0B
LUN...
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NULL
|
NULL
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 lI (input)_2026-...whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB83 MBО 882APP (-zshggml_nwhispewhisper-uucnсiuabbс-yru.vuleviyvvrtrrMecal(type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graph optimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•Morej Support Daily - in 3h 55 m100% (C478•Wed 13 May 11:05:32→Describe what you are looking forJiminny ..cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 dMessages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 lI (input)_2026-...whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB83 MBО 882APP (-zshggml_nwhispewhisper-uucnсiuabbс-yru.vuleviyvvrtrrMecal(type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graph optimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•Morej Support Daily - in 3h 55 m100% (C478•Wed 13 May 11:05:32→Describe what you are looking forJiminny ..cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 dMessages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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rireroScreenpipe - ArchiveAll docs • AFFiNENew Tab rireroScreenpipe - ArchiveAll docs • AFFiNENew Tab® Screenpipe - Archive( SQLite Web: archive.db@ SQLite Web: db.sqlite* Claude→ Manage extra usage for paic© 2 TB in 25 MB/s - Google Se— New Tabsôsnas.lakylak.xyz/cesktopt• Goocle GeminiGeministage:• Buffering: Audio is recorded into a temporary buffer in your system's RAM or written asremporarv chunk tlles on vour aisk.• Processing Queue: Whisper requires CPU/GPU resources to transcribe. If you are having arapid, multi-person conversation, the raw audio chunks line up in a processing queue.• Finalization: Once the Al finishes transcribing a chunk, the text is committed to the SQLitedatabase alongside a timestamp, and the raw audio is compressed and saved so you canplay it back later.4. Understanding the Folder StructureAll of ScreenPipe's data lives locally on your machine (usually in a hidden directory like~/. screenpipe on Mac/Linux or in your AppData folder on Windows). You can determine whathas been processed by looking at a few key areas in this directory:• The SQLite Database ( db.sqlite ): This is the master ledger. If text exists inside thisdatabase, it means the audio has been fully transcribed, diarized, and is "done."• The data/ or audio/ folders: This is where the compressed, raw audio files and JPEGscreenshots are stored permanently. Think of this as the raw archive.• Temp Files: If you see rapidly changing files, temporary .wav chunks, or locked databasejournals (like db.sqlite-wal ), this indicates the system is actively processing a backlog ofaudio (the WIP stage). Once the engine catches up, these temporary chunk files are usuallycleared out or moved to permanent storage, and the database updates.Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or trackingyour daily tasks), or just exploring how the architecture works under the hood?@ SourcesAsk GeminiPro VGemini is Al and can make mistakes, including about people. Your privacy and GeminiSummarize pageFilesControl Pa9PBIStoragApp Ce?SuppoTask MarE Control Panel0 C• Files• Person • 0• SharedUoload TFiles (1)OthersTask Center• User Fi• Extern:•• Ex• TaqPause alliClear completed tasksDelete alliTaskProgress• Videa z VHS and other items19% completed 2962/68198• The Martian - Andy Weir.mp3 and ot...100% completed3989/3989• Walt Disney and other items100% completed5472/5472Status45 MB/sCompletedCompletedlypeCopyCopyCopy# Recyclebooksscreenpipe2025-05-312025-12-072025.06.142026.04.11l233.1GB1GRI7 7GR118 QGRIsupport Dally• In sn oom100% L28• Wed 13 May 11:05:32а ад Ітакан¿• Please entel025-09-27 17:54025-09-27 17:55...
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rireroScreenpipe - ArchiveAll docs • AFFiNENew Tab rireroScreenpipe - ArchiveAll docs • AFFiNENew Tab® Screenpipe - Archive( SQLite Web: archive.db@ SQLite Web: db.sqlite* Claude→ Manage extra usage for paic© 2 TB in 25 MB/s - Google Se— New Tabsôsnas.lakylak.xyz/cesktopt• Goocle GeminiGeministage:• Buffering: Audio is recorded into a temporary buffer in your system's RAM or written asremporarv chunk tlles on vour aisk.• Processing Queue: Whisper requires CPU/GPU resources to transcribe. If you are having arapid, multi-person conversation, the raw audio chunks line up in a processing queue.• Finalization: Once the Al finishes transcribing a chunk, the text is committed to the SQLitedatabase alongside a timestamp, and the raw audio is compressed and saved so you canplay it back later.4. Understanding the Folder StructureAll of ScreenPipe's data lives locally on your machine (usually in a hidden directory like~/. screenpipe on Mac/Linux or in your AppData folder on Windows). You can determine whathas been processed by looking at a few key areas in this directory:• The SQLite Database ( db.sqlite ): This is the master ledger. If text exists inside thisdatabase, it means the audio has been fully transcribed, diarized, and is "done."• The data/ or audio/ folders: This is where the compressed, raw audio files and JPEGscreenshots are stored permanently. Think of this as the raw archive.• Temp Files: If you see rapidly changing files, temporary .wav chunks, or locked databasejournals (like db.sqlite-wal ), this indicates the system is actively processing a backlog ofaudio (the WIP stage). Once the engine catches up, these temporary chunk files are usuallycleared out or moved to permanent storage, and the database updates.Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or trackingyour daily tasks), or just exploring how the architecture works under the hood?@ SourcesAsk GeminiPro VGemini is Al and can make mistakes, including about people. Your privacy and GeminiSummarize pageFilesControl Pa9PBIStoragApp Ce?SuppoTask MarE Control Panel0 C• Files• Person • 0• SharedUoload TFiles (1)OthersTask Center• User Fi• Extern:•• Ex• TaqPause alliClear completed tasksDelete alliTaskProgress• Videa z VHS and other items19% completed 2962/68198• The Martian - Andy Weir.mp3 and ot...100% completed3989/3989• Walt Disney and other items100% completed5472/5472Status45 MB/sCompletedCompletedlypeCopyCopyCopy# Recyclebooksscreenpipe2025-05-312025-12-072025.06.142026.04.11l233.1GB1GRI7 7GR118 QGRIsupport Dally• In sn oom100% L28• Wed 13 May 11:05:32а ад Ітакан¿• Please entel025-09-27 17:54025-09-27 17:55...
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FavouritesE jiminny© Recents* Applications|9 Docum FavouritesE jiminny© Recents* Applications|9 Document.• iCloud Drive992 Svnc toldeO DXP4800PLUS-B5F A• Orange• Red• Yellow• Green• Purple• All Tags.Applications• CascadeProjectscleansnot-live.logcleanshot-screenpipe.log• clip.mp4DesktopDEVDocumentso Downloadsframe.jpgicloud Drive (ArchivejiminnyKeychronScreerMoviesMusicnode_modules#Pictures• PostmanPublicraycastLl response.binscreenpipe-day.shUntitled 4.spfyarn.lockclipboard-dis...ed-after-crashdo.sollteab.solite-shmdb.sqlite-walscreenpipe_sync.shscreenpipe_sync.sh-bakkscreenpipe_sync.sh.bakscreenpipe_sync.sh.bak2screenpipe.2026-05-06.0.lo0screenpipe.2026-05-07.0.lodscreenpipe.2026-05-08.0.log•screenpipe.2026-05-09.0.100-screenoioe. 2026-05-10.0.100l screenbioe. 2026-05-11.0.100screenpipe.2026-05-12.0.logscreenpipe.2026-05-13.0.1ogsync.log88|=MGroupdataLakyLak bose...6-45-25.mp4LakyLak bose...6-45-56.mp4LakyLak bose...6-45-16.mp4• LakyLak bose...6-45-48.mp4LakyLak bose...6-46-18.mp4LakyLak bose...6-46-48.mp4eLakyLak bose...0-4/-18.mp4D LakyLak bose...6-47-47.mp4LakyLak bose...06-48-17.mp4LakyLak bose...6-48-47.mp40 LakyLak bose...06-49-17.mp4LakyLak bose...6-49-47.mp40 Lakvlak bose...06-50-17.mp4• LakyLak bose...6-50-46.mp41e LakyLak bose. 06-51-16.mo4D LakyLak bose..6-51-46.mp41e Lakylak bose. 6-52-16.mo4• LakyLak bose...6-52-45.mp4• LakyLak bose..6-53-15.mp4• LakyLak bose...6-53-45.mp4• LakyLak bose….6-54-15.mp4• LakyLak bose...6-54-44.mp4LakyLak bose...6-55-14.mp4• LakyLak bose...6-55-44.mp4LakyLak bose...6-56-14.mp4D LakyLak bose...6-56-44.mp4LakyLak bose...06-57-14.mp4• LakyLak bose...6-57-44.mp4D LakyLak bose...6-58-14.mp4• LakyLak bose...6-58-44.mp4LakyLak bose...6-59-13.mp4• LakyLak bose...6-59-43.mp4LakyLak bose...07-00-13.mp4LakyLak bose...7-00-43.mp4LakyLak bose...07-01-13.mp40lLakvLak bose...07-01-42.mo4)LakyLak bose...07-02-12.mp40l LakyLak bose..7-02-42.mo4• LakyLak bose...07-03-12.mp4el Lakylak bose..7-03-42.mo4• LakyLak bose...07-04-12.mp4lell Lakvl ak bose...7-04-42.mn/D LakyLak bose...07-05-11.mp4lel Lakvl ak bose.07-05-41.mn/• LakyLak bose...07-06-11.mp4lel Lakvl ak hose07-06-41.mn/• LakyLak bose...07-07-11.mp4lel lakvl ak hoce 7-07-40 mn4LakyLak bose...07-08-10.mp4@ LakyLak bose.7-08-40.mp4LakyLak bose...07-09-10.mp4~ (Q SearchAdd TagsLakyLak bose qc35 ll (input)_2026-05-12_06-49-17.mp4MPEG-4 movie - 215 KBInformationCreatedModifiedTagsRotate LeftYesterday, 9:49Yesterday, 9:49Yesterdav. 9:49support Dally • In 3n 0omravounte:jiminny(P) AirDropO Recents* ApplicationsDocuments© Downloadsii lukasIcloudiCloud Drive283 Sync folderLocationsO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• Greer• PurpleO All Tags...workewwneowwlteNamev N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.moLm Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4• Dally 2026-04-0/.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn/- Dally 2026-03-24.mp4ent 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/- Refinenment 2026-02-09-converted.mp4wx Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4• Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/lm Daily 2026-03-13.mp4aa Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4Q SearchDate ModifiedToday at 10:53Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:2211 May 2026 at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:083 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5923 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041 of 157 selected. 1.93 TB availablewea 13 May 11:00.321,03 GBMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GB3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid...
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FavouritesE jiminny© Recents* Applications|9 Docum FavouritesE jiminny© Recents* Applications|9 Document.• iCloud Drive992 Svnc toldeO DXP4800PLUS-B5F A• Orange• Red• Yellow• Green• Purple• All Tags.Applications• CascadeProjectscleansnot-live.logcleanshot-screenpipe.log• clip.mp4DesktopDEVDocumentso Downloadsframe.jpgicloud Drive (ArchivejiminnyKeychronScreerMoviesMusicnode_modules#Pictures• PostmanPublicraycastLl response.binscreenpipe-day.shUntitled 4.spfyarn.lockclipboard-dis...ed-after-crashdo.sollteab.solite-shmdb.sqlite-walscreenpipe_sync.shscreenpipe_sync.sh-bakkscreenpipe_sync.sh.bakscreenpipe_sync.sh.bak2screenpipe.2026-05-06.0.lo0screenpipe.2026-05-07.0.lodscreenpipe.2026-05-08.0.log•screenpipe.2026-05-09.0.100-screenoioe. 2026-05-10.0.100l screenbioe. 2026-05-11.0.100screenpipe.2026-05-12.0.logscreenpipe.2026-05-13.0.1ogsync.log88|=MGroupdataLakyLak bose...6-45-25.mp4LakyLak bose...6-45-56.mp4LakyLak bose...6-45-16.mp4• LakyLak bose...6-45-48.mp4LakyLak bose...6-46-18.mp4LakyLak bose...6-46-48.mp4eLakyLak bose...0-4/-18.mp4D LakyLak bose...6-47-47.mp4LakyLak bose...06-48-17.mp4LakyLak bose...6-48-47.mp40 LakyLak bose...06-49-17.mp4LakyLak bose...6-49-47.mp40 Lakvlak bose...06-50-17.mp4• LakyLak bose...6-50-46.mp41e LakyLak bose. 06-51-16.mo4D LakyLak bose..6-51-46.mp41e Lakylak bose. 6-52-16.mo4• LakyLak bose...6-52-45.mp4• LakyLak bose..6-53-15.mp4• LakyLak bose...6-53-45.mp4• LakyLak bose….6-54-15.mp4• LakyLak bose...6-54-44.mp4LakyLak bose...6-55-14.mp4• LakyLak bose...6-55-44.mp4LakyLak bose...6-56-14.mp4D LakyLak bose...6-56-44.mp4LakyLak bose...06-57-14.mp4• LakyLak bose...6-57-44.mp4D LakyLak bose...6-58-14.mp4• LakyLak bose...6-58-44.mp4LakyLak bose...6-59-13.mp4• LakyLak bose...6-59-43.mp4LakyLak bose...07-00-13.mp4LakyLak bose...7-00-43.mp4LakyLak bose...07-01-13.mp40lLakvLak bose...07-01-42.mo4)LakyLak bose...07-02-12.mp40l LakyLak bose..7-02-42.mo4• LakyLak bose...07-03-12.mp4el Lakylak bose..7-03-42.mo4• LakyLak bose...07-04-12.mp4lell Lakvl ak bose...7-04-42.mn/D LakyLak bose...07-05-11.mp4lel Lakvl ak bose.07-05-41.mn/• LakyLak bose...07-06-11.mp4lel Lakvl ak hose07-06-41.mn/• LakyLak bose...07-07-11.mp4lel lakvl ak hoce 7-07-40 mn4LakyLak bose...07-08-10.mp4@ LakyLak bose.7-08-40.mp4LakyLak bose...07-09-10.mp4~ (Q SearchAdd TagsLakyLak bose qc35 ll (input)_2026-05-12_06-49-17.mp4MPEG-4 movie - 215 KBInformationCreatedModifiedTagsRotate LeftYesterday, 9:49Yesterday, 9:49Yesterdav. 9:49support Dally • In 3n 0omravounte:jiminny(P) AirDropO Recents* ApplicationsDocuments© Downloadsii lukasIcloudiCloud Drive283 Sync folderLocationsO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• Greer• PurpleO All Tags...workewwneowwlteNamev N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.moLm Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4• Dally 2026-04-0/.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn/- Dally 2026-03-24.mp4ent 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/- Refinenment 2026-02-09-converted.mp4wx Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4• Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/lm Daily 2026-03-13.mp4aa Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4Q SearchDate ModifiedToday at 10:53Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:2211 May 2026 at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:083 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5923 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041 of 157 selected. 1.93 TB availablewea 13 May 11:00.321,03 GBMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GB3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid...
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FinderFileEditViewGoWindowHelpscreeilDOCKERwhispe• FinderFileEditViewGoWindowHelpscreeilDOCKERwhispe• ₴1LakyLak bose qc35 |I (input)_2026-.whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB5.83 MBO 82APP (-zshggml_nwhispewhisper_vacrena=urre-gpu.Toana uro aevrce o. metal (type:1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init:picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•Morej Support Daily - in 3h 55 m100% (C478•Wed 13 May 11:05:36→Describe what you are looking forJiminny ..cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 dMessages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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FinderFileEditViewGoWindowHelpscreeilDOCKERwhispe• FinderFileEditViewGoWindowHelpscreeilDOCKERwhispe• ₴1LakyLak bose qc35 |I (input)_2026-.whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB5.83 MBO 82APP (-zshggml_nwhispewhisper_vacrena=urre-gpu.Toana uro aevrce o. metal (type:1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init:picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•Morej Support Daily - in 3h 55 m100% (C478•Wed 13 May 11:05:36→Describe what you are looking forJiminny ..cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 dMessages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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Downloads...
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3717039924057757964
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-621772352736461861
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click
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hybrid
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
FavouritesE jiminny© Recents* Applications|9 Document.• iCloud Drive992 Svnc toldelO DXP4800PLUS-B5F A• Orange• Red• Yellow• Green• Purple• All Tags.Applications• CascadeProjectscleansnot-live.logcleanshot-screenpipe.log• clip.mp4DesktopDEVDocumentso Downloadsframe.jpgicloud Drive (ArchivejiminnyKeychronScreerMoviesMusicnode_modules#Pictures• PostmanPublicraycastLl response.binscreenpipe-day.shUntitled 4.spf• Usersyarn.lockclipboard-dis...ed-after-crash• db.sqlitedo.sclite-shmdb.sqlite-walscreenpipe_sync.shscreenpipe_sync.sh-bakk• screenpipe_sync.sh.bakscreenpipe_sync.sh.bak2• screenpipe.2026-05-06.0.logscreenpipe.2026-05-07.0.lodscreenpipe.2026-05-08.0.logscreenpipe.2026-05-09.0.100-screenoioe. 2026-05-10.0,100screenbioe. 2026-05-11.0.100screenpipe.2026-05-12.0.logscreenpipe.2026-05-13.0.1ogsync.logdataLakyLak bose...6-45-25.mp4• LakyLak bose….6-45-56.mp4LakyLak bose...6-45-16.mp4• LakyLak bose...6-45-48.mp4LakyLak bose...6-46-18.mp4LakyLak bose...6-46-48.mp4eLakyLak bose...0-4/-18.mp4D LakyLak bose...6-47-47.mp4LakyLak bose...06-48-17.mp4LakyLak bose...6-48-47.mp40 LakyLak bose...06-49-17.mp4LakyLak bose...6-49-47.mp40 Lakylak bose...06-50-17.mp4D LakyLak bose..6-50-46.mp4e LakyLak bose. 06-51-16.mo4D LakyLak bose..6-51-46.mp41e Lakylak bose. 6-52-16.mo4• LakyLak bose...6-52-45.mp4• LakyLak bose..6-53-15.mp4• LakyLak bose...6-53-45.mp4LakyLak bose...6-54-15.mp4• LakyLak bose...6-54-44.mp4LakyLak bose...6-55-14.mp4• LakyLak bose...6-55-44.mp4LakyLak bose...6-56-14.mp4• LakyLak bose..6-56-44.mp4D LakyLak bose...06-57-14.mp4• LakyLak bose..6-57-44.mp4D LakyLak bose...6-58-14.mp4• LakyLak bose...6-58-44.mp4LakyLak bose...6-59-13.mp4• LakyLak bose...6-59-43.mp4LakyLak bose...07-00-13.mp4• LakyLak bose...7-00-43.mp4LakyLak bose...07-01-13.mp40lLakvLak oose..07-01-42.mo4)LakyLak bose...07-02-12.mp40l LakyLak bose..7-02-42.mo4• LakyLak bose...07-03-12.mp4el Lakylak bose..7-03-42.m4• LakyLak bose...07-04-12.mp4lell Lakvl ak bose...7-04-42.mn/D LakyLak bose...07-05-11.mp4lel Lakvl ak bose07-05-41.mn/• LakyLak bose...07-06-11.mp4lel Lakvl ak hose07-06-41.mn/• LakyLak bose...07-07-11.mp4lel Lakvl ak hoce 7-07-40 mn4LakyLak bose...07-08-10.mp4@ LakyLak bose.7-08-40.mp4LakyLak bose...07-09-10.mp4~ (Q SearchAdd TagsLakyLak bose qc35 Il (input)_2026-05-12_06-49-17.mp4MPEG-4 movie - 215 KBInformationCreatedModifiedTagsRotate LeftYesterday, 9:49Yesterday, 9:49Yesterdav. 9:49support Dally • In 3n 0omravounte:jiminny(P) AirDropO Recents* ApplicationsDocuments© Downloadsii lukasIcloudiCloud Drive283 Sync folderLocationsO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• Greer• PurpleO All Tags...workewwneowwlteNamev N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.moLm Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4• Dally 2026-04-0/.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn/- Dally 2026-03-24.mp4ent 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/- Refinenment 2026-02-09-converted.mp4wx Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4• Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/lm Daily 2026-03-13.mp4aa Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4Q SearchDate ModifiedToday at 10:53Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:2211 May 2026 at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:083 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:0926 Mar 2026 at 9:5923 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041 of 157 selected. 1.93 TB availableWed 13 May 11:05:361,03 GBMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GB3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659539719_m2.jpg...
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Finderjiminny® AirDrop• Recents* Applications9 Doc Finderjiminny® AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeL DXP4800PLUS-Bor NetworkO CRM• Orange• Red• Yellow• Green• Blue• Purple• All Tags...Windowmelpdara> dataD LakyLak bose qc35 Il (input) _2026-05-11_06-45-25.mp4•Lakylak bose acss Il input 2026-05-1106-45-56.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-45-16.mp4D2026-05-12_06-45-48.mp4LakyLak bose qc35 lI (input)_2026-05-12_06-46-18.mp401 Lakylak bose ac35 || inout) 2026-05-12 06-46-48 mo4D LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4•Lakylak bose acs5 il input 2026-05-12_ 06-48-17.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-48-47.mp4Lakylak bose acss ll input 2026-05-12._06-49-4/.mp401 Lakvlak bose ac35 || inout) 2026-05-12 06-50-17 mo4LakyLak bose• LakyLak bose qc35sut)_2026-05-12_06-50-46.mp4II (input)_2026-05-12_06-51-16.mp40 Lakylak bose ac35 IlD LakyLak bose qc35 Il (input)_2026-05-12_06-52-16.mp4eLakylak boseinput 2026-05-12 06-53-15.mp4el lakvi ak boce ac25 ll innut) 2026-05-12 06.52-45.mn/• LakyLak bose qc3ut)_2026-05-12_06-54-15.mp4(input)_2026-05-12_06-54-44.mp4D LakyLak bose qc35 ll (input)_2026-05-12_06-55-44.mp4eLakylak boseout 2026-05-12 06-56-44.mp4el Lakvl ak hoce ac25 ll (innut) 2026-05-12 06-57-14 mn4D LakyLak bose qc35D LakyLak bose qc35 lI (input)_2026-05-12_06-59-13.mp4eLakylak boseut2026-05-2 07-00-13.mo4el lakvl ak hoce ac25 ll finnut) 2026-05-12 07-00-12 mn/LakyLak bose qc35 II (input)_2026-05-12_07-01-42.mp401 Lakvlak bose ac25 |l (inout) 2026-05-12 07-02-12 mo4D LakyLak bose qc35 lI (input)_2026-05-12_07-02-42.mp4l Lakvlak bose accs inout) 2026-05-12 07-03-42.m04al Lakvlak hoce ac25 ll finnut) 2026-06-12 07-04-12 mлДD LakyLak bose qc35 II (input)_2026-05-12_07-05-11.mp4a1 Lakvlak bose ac25 l| (inout) 2026-05-12 07-05-41.mo4LakyLak bose qc35 II (input)_2026-05-12_07-06-11.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-06-41.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-07-11.mo4al takvlak bace ac26 ll finnut) 2026.06.12 07.07-10 mn/_2026-05-12_07-08-10.mp4D LakyLak bose qc35 lI (input)_2026-05-12_07-08-40.mp4el lakvl ak hose ac25 ll (innut) 2026-05-12 07-09-10.mnЛ• LakyLak bose qc35 II (input)_2026-05-12_07-09-40.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-10-09.mp401 Lakvlak bose ac35 |l inout) 2026-05-12 07-10-39.mo4• LakvLak bose ac35 II (input) 2026-05-12 07-11-09.mD4Group~ Q SearchShare Add TagsAction^ Date ModifiedToday at 9:1611 May 2026 at 9:4511 May 2026 at 9:46Yesterdav at 9:45Yesterday at 9:46Yesterday at 9.40Yesterdav at 9:47Yesterday at 9:47Yesterday at 9:48Yesterday at 9:48Yesterday at 9:49Yesterday at 9:o0Yesterdav at 9:50Yesterday at 9:51Yesterday at 9:52Yesterday at 9:52Yesterday at 9:o3Yesterday at 9:56Yesterday at 9:5/Yesterday at 9:58Yesterday at 9:59Yesterdav at 10:00Yecterdav at 10:01Yesterday at 10:02Yesterdav at 10:02Yesterday at 10:03Yesterdav at 10:04Yecterdav at 10:04Yesterday at 10:00Yecterdav at 10:06Yesterday at 10:06Yesterday at 10:07Yesterdav at 10:07Yoctorday at 10:09Yesterday at 10.09Yocterdav at 10:09Yesterday at 10:10Yesterdav at 10:11Yesterdav at 10:111,49 GB Folder5 KB5 KBMPEG-4 movie211 KBMPEG-4 movie204 KB199 KBMPEG-4 movie202 K:MPEG-4 movie201 KB MPEG-4 movie203 KBMPEG-4 movie207 KEMPEG-4 movie207 KB MPEG-4 movie215 KB208 KbMPEG-4 movie211 KB.MPEG-4 movie203 KB MPEG-4 movie207 KB209 K:MPEG-4 movie224 KBMPEG-4 movie208 KB210 KbMPEG-4 movie212 KRIMPEG-A movid206 KB MPEG-4 movie206 KBMPEG-4 movie205 K.208 KB MPEG-4 movie218 KBZ19 KBMPEG-4 movie210 KRIMDEG-A movie212 KBMPEG-4 movie209 KB210 K.MPEG-4 movie209 KBMPEG-4 movie213 KB210 KMPEG-4 movie211 KRIMDEG-A movie213 KBMPEG-4 movie208 KBMPEG-4 movie210 KE211 KB MPEG-4 movie208 KB212 K.210 KRMPEG-4 movieMPEG-4 movie211 KB208 K8MPEG-4 movie206 KEMPFG.A movie210 KB MPEG-4 movie203 KB MPEG-4 movie211 K:MPEG-4 movie211 KRMDEG.A movio217 KB230 K3MPEG-4 movie228 KPMPEG-A movie228 KB MPEG-4 movie207 KB223 KEMPEG-4 movie212 KB MPEG-4 movie1 of 3 941 selected. 22.88 GB availabld• 0Favouritesjiminny(* AirDrop© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp4rя 1-12026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4r Planning 2026-04-15.mp4Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 55m100% S2Wed 13 May 11:05:39vQ Searcmate wadmtiedToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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Finderjiminny® AirDrop• Recents* Applications9 Doc Finderjiminny® AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeL DXP4800PLUS-Bor NetworkO CRM• Orange• Red• Yellow• Green• Blue• Purple• All Tags...Windowmelpdara> dataD LakyLak bose qc35 Il (input) _2026-05-11_06-45-25.mp4•Lakylak bose acss Il input 2026-05-1106-45-56.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-45-16.mp4D2026-05-12_06-45-48.mp4LakyLak bose qc35 lI (input)_2026-05-12_06-46-18.mp401 Lakylak bose ac35 || inout) 2026-05-12 06-46-48 mo4D LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4•Lakylak bose acs5 il input 2026-05-12_ 06-48-17.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-48-47.mp4Lakylak bose acss ll input 2026-05-12._06-49-4/.mp401 Lakvlak bose ac35 || inout) 2026-05-12 06-50-17 mo4LakyLak bose• LakyLak bose qc35sut)_2026-05-12_06-50-46.mp4II (input)_2026-05-12_06-51-16.mp40 Lakylak bose ac35 IlD LakyLak bose qc35 Il (input)_2026-05-12_06-52-16.mp4eLakylak boseinput 2026-05-12 06-53-15.mp4el lakvi ak boce ac25 ll innut) 2026-05-12 06.52-45.mn/• LakyLak bose qc3ut)_2026-05-12_06-54-15.mp4(input)_2026-05-12_06-54-44.mp4D LakyLak bose qc35 ll (input)_2026-05-12_06-55-44.mp4eLakylak boseout 2026-05-12 06-56-44.mp4el Lakvl ak hoce ac25 ll (innut) 2026-05-12 06-57-14 mn4D LakyLak bose qc35D LakyLak bose qc35 lI (input)_2026-05-12_06-59-13.mp4eLakylak boseut2026-05-2 07-00-13.mo4el lakvl ak hoce ac25 ll finnut) 2026-05-12 07-00-12 mn/LakyLak bose qc35 II (input)_2026-05-12_07-01-42.mp401 Lakvlak bose ac25 |l (inout) 2026-05-12 07-02-12 mo4D LakyLak bose qc35 lI (input)_2026-05-12_07-02-42.mp4l Lakvlak bose accs inout) 2026-05-12 07-03-42.m04al Lakvlak hoce ac25 ll finnut) 2026-06-12 07-04-12 mлДD LakyLak bose qc35 II (input)_2026-05-12_07-05-11.mp4a1 Lakvlak bose ac25 l| (inout) 2026-05-12 07-05-41.mo4LakyLak bose qc35 II (input)_2026-05-12_07-06-11.mp4• LakyLak bose qc35 Il 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10:04Yecterdav at 10:04Yesterday at 10:00Yecterdav at 10:06Yesterday at 10:06Yesterday at 10:07Yesterdav at 10:07Yoctorday at 10:09Yesterday at 10.09Yocterdav at 10:09Yesterday at 10:10Yesterdav at 10:11Yesterdav at 10:111,49 GB Folder5 KB5 KBMPEG-4 movie211 KBMPEG-4 movie204 KB199 KBMPEG-4 movie202 K:MPEG-4 movie201 KB MPEG-4 movie203 KBMPEG-4 movie207 KEMPEG-4 movie207 KB MPEG-4 movie215 KB208 KbMPEG-4 movie211 KB.MPEG-4 movie203 KB MPEG-4 movie207 KB209 K:MPEG-4 movie224 KBMPEG-4 movie208 KB210 KbMPEG-4 movie212 KRIMPEG-A movid206 KB MPEG-4 movie206 KBMPEG-4 movie205 K.208 KB MPEG-4 movie218 KBZ19 KBMPEG-4 movie210 KRIMDEG-A movie212 KBMPEG-4 movie209 KB210 K.MPEG-4 movie209 KBMPEG-4 movie213 KB210 KMPEG-4 movie211 KRIMDEG-A movie213 KBMPEG-4 movie208 KBMPEG-4 movie210 KE211 KB MPEG-4 movie208 KB212 K.210 KRMPEG-4 movieMPEG-4 movie211 KB208 K8MPEG-4 movie206 KEMPFG.A movie210 KB MPEG-4 movie203 KB MPEG-4 movie211 K:MPEG-4 movie211 KRMDEG.A movio217 KB230 K3MPEG-4 movie228 KPMPEG-A movie228 KB MPEG-4 movie207 KB223 KEMPEG-4 movie212 KB MPEG-4 movie1 of 3 941 selected. 22.88 GB availabld• 0Favouritesjiminny(* AirDrop© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp4rя 1-12026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4r Planning 2026-04-15.mp4Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 55m100% S2Wed 13 May 11:05:39vQ Searcmate wadmtiedToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCK FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:30whispewhispeDEV (-zsh)7.17 MB00:305.96 MB3.50 MB5.83 MBO 82ggml_nwhispewhisper_vacrena=urre-gpu.Toana uro aevrce o. metal (type:1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init:pickingdefault device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 55 m100% <78•Wed 13 May11:05:39ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCK FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:30whispewhispeDEV (-zsh)7.17 MB00:305.96 MB3.50 MB5.83 MBO 82ggml_nwhispewhisper_vacrena=urre-gpu.Toana uro aevrce o. metal (type:1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init:pickingdefault device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 55 m100% <78•Wed 13 May11:05:39ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCK FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:30whispewhispeDEV (-zsh)7.17 MB00:305.96 MB3.50 MB5.83 MBО 882ggml_nwhispewhisper_vacrena=urre-gpu.Toana uro aevrce o. metal (type:1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init:pickingdefault device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 55 m100% <78•Wed 13 May 11:05:41ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCK FinderFileEditViewGoWindowHelpscreeilAPP (-zshDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:30whispewhispeDEV (-zsh)7.17 MB00:305.96 MB3.50 MB5.83 MBО 882ggml_nwhispewhisper_vacrena=urre-gpu.Toana uro aevrce o. metal (type:1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init:pickingdefault device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize=truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize3.15 MBwhisper_init_state: kv cross size9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 55 m100% <78•Wed 13 May 11:05:41ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659541443_m2.jpg...
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monitor_2
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FinderE jiminny•) AirDrop• Recents* Applications9 FinderE jiminny•) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeO DXP4800PLUS-B5F A® NetworkO CRM• Orange• Red• Yellow• Greeno Bue• Purple• All Tags...Windowmelp88E0CdaraGroup> dataD LakyLak bose qc35 Il (input) _2026-05-11_06-45-25.mp4•Lakylak bose acss ll input2026-05-11_06-45-56.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-45-16.mp4Dinput)_2026-05-12_06-45-48.mp4LakyLak bose qc35 lI (input)_2026-05-12_06-46-18.mp401 Lakylak bose ac35 || inout) 2026-05-12 06-46-48 mo4D LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4•Lakylak bose acs5 Il input 2026-05-1206-48-17.mp4D LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4(•) LakyLak bose q035 Il (input) 2026-05-12 06-49.•LakyLak bose acso ll input 2026-05-12_ 06-4901 Lakvlak bose ac35 || inout) 2026-05-12 06-50.UpenOpen WithD LakyLak bose qc35 lI (ingsut) 2026-05-12_06-50.Move to Bin• LakyLak bose qc35 II (input)_2026-05-12_06-51-0 Lakylak bose ac35 |l inout 2026-05-12 06-51-• LakyLak bose qc35 lI (input)_ 2026-05-12_06-52-Get IntoRenameCompress "LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4*eLakylak bose acso ll input 2026-05-12 06-53el lakvl ak boce ac25 ll innut) 2026-05-12 06.52.DuplicateMake AliasD LakyLak bose qc35 ll (irQuick LookD LakyLak bose qc35 II (input)_2026-05-12_06-54-01 Lakvlak bose ac35 | inout) 2026-05-12 06-55CopyD LakyLak bose qc35 ll (input)_2026-05-12_06-55-•Lakylak bose acss ll input2026-05-1206-56el Lakvl ak hoce ac25 ll (innut) 2026-05-12 06-57.•Taas.D LakyLak bose qc35 lI (input)_2026-05-12_06-58-0l lakvlak bose acc5 | Kinout 2026-05-12 06-58D LakyLak bose qc35 lI (input)_2026-05-12_06-59-Quick ActionsEncode Selected Video FilesNew iTerm2 Tab Here• Lakvlak oose acss lTNew iTerm2 Window Hereel Lakvl ak hoce ac25 ll finnut) 2026-05-12 07-00.Send Files to AnyboxD LakyLak boseinput)_2026-05-12_07-01-13.mp4LakyLak bose qc35 II (input)_2026-05-12_07-01-42.mp401 Lakvlak bose ac25 ll (inout) 2026-05-12 07-02-12 mozD LakyLak bose qc35 lI (input)_2026-05-12_07-02-42.mp4l Lakvlak bose accs inout) 2026-05-12 07-03-42.m04al Lakvlak hoce ac25 ll finnut) 2026-06-12 07-04-12 mn/• LakyLak bose qc35 II (input)_2026-05-12_07-05-11.mp4a1 Lakvlak bose ac25 l| (inout) 2026-05-12 07-05-41.mo4LakyLak bose qc35 II (input)_2026-05-12_07-06-11.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-07-11.mo4al takvlak bace ac26 ll finnut) 2026.06.12 07.07-10 mn/_2026-05-12_07-08-10.mp4D LakyLak bose qc35 lI (input)_2026-05-12_07-08-40.mp4el lakvl ak hose ac25 ll (innut) 2026-05-12 07-09-10.mnЛ• LakyLak bose qc35 lI (input)_2026-05-12_07-09-40.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-10-09.mp401 Lakvlak bose ac35 |l inout) 2026-05-12 07-10-39.mo4• LakvLak bose ac35 II (input) 2026-05-12 07-11-09.mD4~ Q SearchShare Add TagsAction^ Date ModifiedToday at 9:1611 May 2026 at 9:4511 May 2026 at 9:46Yesterdav at 9:45Yesterday at 9:46Yesterday at 9.40Yesterdav at 9:47Yesterday at 9:47Yesterday at 9:48Yesterday at 9:48Yesterday at 9:49Yesterday at 9:o0Yesterdav at 9:50Yesterday at 9:51Yesterday at 9:52Yesterday at 9:o3Yecterdav at 0:54Yesterday at 9:56Yesterday at 9:5/Yesterday at 9:59Yesterdav at 10:00Yecterdav at 10:01Yesterday at 10:02Yesterdav at 10:02Yesterday at 10:03Yesterdav at 10:04Yecterdav at 10:04Yesterday at 10:00Yecterdav at 10:06Yesterday at 10:06Yesterday at 10:07Yesterdav at 10:07Yoctorday at 10:09Yesterday at 10.09Yocterdav at 10:09Yesterday at 10:10Yesterdav at 10:11Yesterdav at 10:111,49 GB Folder5 KB5 KBMPEG-4 movie211 KBMPEG-4 movie199 KBMPEG-4 movie202 KBMPEG-4 movie201 KBMPEG-4 movie203 KB207 KEMPEG-4 movie207 KBMPEG-4 movie208 KbMPEG-4 movie211 KB.MPEG-4 movie203 KB MPEG-4 movie207 KB209 K:MPEG-4 movie224 KB MPEG-4 movie208 KB210 KBMPEG-4 movie212 KRIMPEG-A movid206 KBMPEG-4 movie206 KBMPEG-4 movie205 K.208 KB MPEG-4 movie218 KBZ19 KBMPEG-4 movie210 KRIMDEG-A movie212 KBMPEG-4 movie209 KBMPEG-4 movie210 K.MPEG-4 movie209 KBMPEG-4 movie213 KB210 KMPEG-4 movie211 KPMDEG-A movie213 KBMPEG-4 movie208 KBMPEG-4 movie210 KE211 KB MPEG-4 movie208 KB212 K.MPEG-4 movie.MPEG-4 movie210 KR211 KB208 K8MP2G-4 movie206 KEMPFG.A movie210 KB MPEG-4 movie203 KB MPEG-4 movie211 K:MPEG-4 movie211 KR217 KB230 K3MDEG.A movioMPEG-4 movie228 KPMPEG-A movie228 KB MPEG-4 movie207 KB223 KEMPEG-4 movie212 KB MPEG-4 movie1 of 3 941 selected. 22.88 GB availabld• 0Favouritesjiminny© Recents* Applications© Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp4rя 1-12026-04-24.mp4w Daily 2026-04-24.mp4mm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4Refinement 2026-03-23.mo4- Daily 2026-03-23.mp4BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/= Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 55m100% S2Wed 13 May 11:05:41vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterday at 10:1311 May 2026 at 12:2211 May 2026 at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie832,2 MBMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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FinderE jiminny•) AirDrop• Recents* Applications9 FinderE jiminny•) AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeO DXP4800PLUS-B5F A® NetworkO CRM• Orange• Red• Yellow• Greeno Bue• Purple• All Tags...Windowmelp88E0CdaraGroup> dataD LakyLak bose qc35 Il (input) _2026-05-11_06-45-25.mp4•Lakylak bose acss ll input2026-05-11_06-45-56.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-45-16.mp4Dinput)_2026-05-12_06-45-48.mp4LakyLak bose qc35 lI (input)_2026-05-12_06-46-18.mp401 Lakylak bose ac35 || inout) 2026-05-12 06-46-48 mo4D LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4•Lakylak bose acs5 Il input 2026-05-1206-48-17.mp4D LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4(•) LakyLak bose q035 Il (input) 2026-05-12 06-49.•LakyLak bose acso ll input 2026-05-12_ 06-4901 Lakvlak bose ac35 || inout) 2026-05-12 06-50.UpenOpen WithD LakyLak bose qc35 lI (ingsut) 2026-05-12_06-50.Move to Bin• LakyLak bose qc35 II (input)_2026-05-12_06-51-0 Lakylak bose ac35 |l inout 2026-05-12 06-51-• LakyLak bose qc35 lI (input)_ 2026-05-12_06-52-Get IntoRenameCompress "LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4*eLakylak bose acso ll input 2026-05-12 06-53el lakvl ak boce ac25 ll innut) 2026-05-12 06.52.DuplicateMake AliasD LakyLak bose qc35 ll (irQuick LookD LakyLak bose qc35 II (input)_2026-05-12_06-54-01 Lakvlak bose ac35 | inout) 2026-05-12 06-55CopyD LakyLak bose qc35 ll (input)_2026-05-12_06-55-•Lakylak bose acss ll input2026-05-1206-56el Lakvl ak hoce ac25 ll (innut) 2026-05-12 06-57.•Taas.D LakyLak bose qc35 lI (input)_2026-05-12_06-58-0l lakvlak bose acc5 | Kinout 2026-05-12 06-58D LakyLak bose qc35 lI (input)_2026-05-12_06-59-Quick ActionsEncode Selected Video FilesNew iTerm2 Tab Here• Lakvlak oose acss lTNew iTerm2 Window Hereel Lakvl ak hoce ac25 ll finnut) 2026-05-12 07-00.Send Files to AnyboxD LakyLak boseinput)_2026-05-12_07-01-13.mp4LakyLak bose qc35 II (input)_2026-05-12_07-01-42.mp401 Lakvlak bose ac25 ll (inout) 2026-05-12 07-02-12 mozD LakyLak bose qc35 lI (input)_2026-05-12_07-02-42.mp4l Lakvlak bose accs inout) 2026-05-12 07-03-42.m04al Lakvlak hoce ac25 ll finnut) 2026-06-12 07-04-12 mn/• LakyLak bose qc35 II (input)_2026-05-12_07-05-11.mp4a1 Lakvlak bose ac25 l| (inout) 2026-05-12 07-05-41.mo4LakyLak bose qc35 II (input)_2026-05-12_07-06-11.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-07-11.mo4al takvlak bace ac26 ll finnut) 2026.06.12 07.07-10 mn/_2026-05-12_07-08-10.mp4D LakyLak bose qc35 lI (input)_2026-05-12_07-08-40.mp4el lakvl ak hose ac25 ll (innut) 2026-05-12 07-09-10.mnЛ• LakyLak bose qc35 lI (input)_2026-05-12_07-09-40.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-10-09.mp401 Lakvlak bose ac35 |l inout) 2026-05-12 07-10-39.mo4• LakvLak bose ac35 II (input) 2026-05-12 07-11-09.mD4~ Q SearchShare Add TagsAction^ Date ModifiedToday at 9:1611 May 2026 at 9:4511 May 2026 at 9:46Yesterdav at 9:45Yesterday at 9:46Yesterday at 9.40Yesterdav at 9:47Yesterday at 9:47Yesterday at 9:48Yesterday at 9:48Yesterday at 9:49Yesterday at 9:o0Yesterdav at 9:50Yesterday at 9:51Yesterday at 9:52Yesterday at 9:o3Yecterdav at 0:54Yesterday at 9:56Yesterday at 9:5/Yesterday at 9:59Yesterdav at 10:00Yecterdav at 10:01Yesterday at 10:02Yesterdav at 10:02Yesterday at 10:03Yesterdav at 10:04Yecterdav at 10:04Yesterday at 10:00Yecterdav at 10:06Yesterday at 10:06Yesterday at 10:07Yesterdav at 10:07Yoctorday at 10:09Yesterday at 10.09Yocterdav at 10:09Yesterday at 10:10Yesterdav at 10:11Yesterdav at 10:111,49 GB Folder5 KB5 KBMPEG-4 movie211 KBMPEG-4 movie199 KBMPEG-4 movie202 KBMPEG-4 movie201 KBMPEG-4 movie203 KB207 KEMPEG-4 movie207 KBMPEG-4 movie208 KbMPEG-4 movie211 KB.MPEG-4 movie203 KB MPEG-4 movie207 KB209 K:MPEG-4 movie224 KB MPEG-4 movie208 KB210 KBMPEG-4 movie212 KRIMPEG-A movid206 KBMPEG-4 movie206 KBMPEG-4 movie205 K.208 KB MPEG-4 movie218 KBZ19 KBMPEG-4 movie210 KRIMDEG-A movie212 KBMPEG-4 movie209 KBMPEG-4 movie210 K.MPEG-4 movie209 KBMPEG-4 movie213 KB210 KMPEG-4 movie211 KPMDEG-A movie213 KBMPEG-4 movie208 KBMPEG-4 movie210 KE211 KB MPEG-4 movie208 KB212 K.MPEG-4 movie.MPEG-4 movie210 KR211 KB208 K8MP2G-4 movie206 KEMPFG.A movie210 KB MPEG-4 movie203 KB MPEG-4 movie211 K:MPEG-4 movie211 KR217 KB230 K3MDEG.A movioMPEG-4 movie228 KPMPEG-A movie228 KB MPEG-4 movie207 KB223 KEMPEG-4 movie212 KB MPEG-4 movie1 of 3 941 selected. 22.88 GB availabld• 0Favouritesjiminny© Recents* Applications© Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp4rя 1-12026-04-24.mp4w Daily 2026-04-24.mp4mm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4Refinement 2026-03-23.mo4- Daily 2026-03-23.mp4BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/= Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 55m100% S2Wed 13 May 11:05:41vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterday at 10:1311 May 2026 at 12:2211 May 2026 at 10:028 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie832,2 MBMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659542809_m2.jpg...
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Finderjiminny® AirDrop• Recents* Applications9 Doc Finderjiminny® AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeL DXP4800PLUS-Bor NetworkO CRM• Orange• Red• Yellow• Green• Blue• Purple• All Tags...Windowmelpdara> dataD LakyLak bose qc35 Il (input) _2026-05-11_06-45-25.mp4•Lakylak bose acss Il input 2026-05-1106-45-56.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-45-16.mp4D2026-05-12_06-45-48.mp4LakyLak bose qc35 lI (input)_2026-05-12_06-46-18.mp401 Lakylak bose ac35 || inout) 2026-05-12 06-46-48 mo4D LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4•Lakylak bose acs5 il input 2026-05-12_ 06-48-17.mp4LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4Lakylak bose acss ll input 2026-05-12._06-49-4/.mp401 Lakvlak bose ac35 || inout) 2026-05-12 06-50-17 mo4D LakyLak bose qc35 lI (insut)_2026-05-12_06-50-46.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-51-16.mp40 Lakylak bose ac35|lD LakyLak bose qc35 Il (input)_2026-05-12_06-52-16.mp4eLakylak boseIl input 2026-05-12 06-53-15.mp4el lakvi ak boce ac25 ll innut) 2026-05-12 06.52-45.mn/D LakyLak bose qc35ut)_2026-05-12_06-54-15.mp4I (input)_2026-05-12_06-54-44.mp4D LakyLak bose qc35 ll (input)_2026-05-12_06-55-44.mp4eLakylak boseinput 2026-05-12 06-56-44.mp4el Lakvl ak hoce ac25 ll (innut) 2026-05-12 06-57-14 mn4D LakyLak bose qc35D LakyLak bose qc35 lI (input)_2026-05-12_06-59-13.mp4eLakylak boseut2026-05-2 07-00-13.mo4el lakvl ak hoce ac25 ll finnut) 2026-05-12 07-00-12 mn/_2026-05-12_07-01-13.mp4LakyLak bose qc35 II (input)_2026-05-12_07-01-42.mp401 Lakvlak bose ac25 |l (inout) 2026-05-12 07-02-12 mo4D LakyLak bose qc35 lI (input)_2026-05-12_07-02-42.mp4l Lakvlak bose accs inout) 2026-05-12 07-03-42.m04al Lakvlak hoce ac25 ll finnut) 2026-06-12 07-04-12 mлДD LakyLak bose qc35 II (input)_2026-05-12_07-05-11.mp4a1 Lakvlak bose ac25 l| (inout) 2026-05-12 07-05-41.mo4LakyLak bose qc35 II (input)_2026-05-12_07-06-11.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-06-41.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-07-11.mo4al takvlak bace ac26 ll finnut) 2026.06.12 07.07-10 mn/_2026-05-12_07-08-10.mp4D LakyLak bose qc35 lI (input)_2026-05-12_07-08-40.mp4el lakvl ak hose ac25 ll (innut) 2026-05-12 07-09-10.mnЛ• LakyLak bose qc35 II (input)_2026-05-12_07-09-40.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-10-09.mp401 Lakvlak bose ac35 |l inout) 2026-05-12 07-10-39.mo4• LakvLak bose ac35 II (input) 2026-05-12 07-11-09.mD4Group~ Q SearchShare Add TagsAction^ Date ModifiedToday at 9:1611 May 2026 at 9:4511 May 2026 at 9:46Yesterdav at 9:45Yesterday at 9:46Yesterday at 9.40Yesterdav at 9:47Yesterday at 9:47Yesterday at 9:48Yesterday at 9:48Yesterday at 9:49Yesterday at 9:o0Yesterdav at 9:50Yesterday at 9:51Yesterday at 9:52Yesterday at 9:52Yesterday at 9:o3Yecterdav at 0:54Yesterday at 9:56Yesterday at 9:5/Yesterday at 9:58Yesterday at 9:59Yesterdav at 10:00Yecterdav at 10:01Yesterday at 10:02Yesterdav at 10:02Yesterday at 10:03Yesterdav at 10:04Yecterdav at 10:04Yesterday at 10:00Yecterdav at 10:06Yesterday at 10:06Yesterday at 10:07Yesterdav at 10:07Yoctorday at 10:09Yesterday at 10.09Yocterdav at 10:09Yesterday at 10:10Yesterdav at 10:11Yesterdav at 10:111,49 GB Folder5 KB5 KBMPEG-4 movie211 KBMPEG-4 movie204 KB199 KBMPEG-4 movie202 K:MPEG-4 movie201 KB MPEG-4 movie203 KBMPEG-4 movie207 KEMPEG-4 movie207 KB MPEG-4 movie215 KB208 KbMPEG-4 movie211 KB.MPEG-4 movie203 KB MPEG-4 movie207 KB209 K:MPEG-4 movie224 KBMPEG-4 movie208 KB210 KbMPEG-4 movie212 KRIMPEG-A movid206 KB MPEG-4 movie206 KBMPEG-4 movie205 K.208 KB MPEG-4 movie218 KBZ19 KBMPEG-4 movie210 KRIMDEG-A movie212 KBMPEG-4 movie209 KB210 K.MPEG-4 movie209 KBMPEG-4 movie213 KB210 KMPEG-4 movie211 KRIMDEG-A movie213 KBMPEG-4 movie208 KBMPEG-4 movie210 KEMPEG-4 movie211 KB MPEG-4 movie208 KB212 K.210 KRMPEG-4 movieMPEG-4 movie211 KB208 K8MPEG-4 movie206 KBMPFG.A movie210 KB MPEG-4 movie203 KB MPEG-4 movie211 K:MPEG-4 movie211 KRMDEG.A movio217 KB230 K3MPEG-4 movie228 KPMPEG-A movie228 KB MPEG-4 movie207 KB223 KEMPEG-4 movie212 KB MPEG-4 movie1 of 3 941 selected. 22.88 GB availabld• 0Favouritesjiminny(* AirDrop© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4Daily 2026-05-07.mp4rя 1-12026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4r Planning 2026-04-15.mp4Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 55m100% S2Wed 13 May 11:05:42vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterday at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie832,2 MBMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438,9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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Finderjiminny® AirDrop• Recents* Applications9 Doc Finderjiminny® AirDrop• Recents* Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeL DXP4800PLUS-Bor NetworkO CRM• Orange• Red• Yellow• Green• Blue• Purple• All Tags...Windowmelpdara> dataD LakyLak bose qc35 Il (input) _2026-05-11_06-45-25.mp4•Lakylak bose acss Il input 2026-05-1106-45-56.mp4• LakyLak bose qc35 lI (input)_2026-05-12_06-45-16.mp4D2026-05-12_06-45-48.mp4LakyLak bose qc35 lI (input)_2026-05-12_06-46-18.mp401 Lakylak bose ac35 || inout) 2026-05-12 06-46-48 mo4D LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4•Lakylak bose acs5 il input 2026-05-12_ 06-48-17.mp4LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4Lakylak bose acss ll input 2026-05-12._06-49-4/.mp401 Lakvlak bose ac35 || inout) 2026-05-12 06-50-17 mo4D LakyLak bose qc35 lI (insut)_2026-05-12_06-50-46.mp4• LakyLak bose qc35 II (input)_2026-05-12_06-51-16.mp40 Lakylak bose ac35|lD LakyLak bose qc35 Il (input)_2026-05-12_06-52-16.mp4eLakylak boseIl input 2026-05-12 06-53-15.mp4el lakvi ak boce ac25 ll innut) 2026-05-12 06.52-45.mn/D LakyLak bose qc35ut)_2026-05-12_06-54-15.mp4I (input)_2026-05-12_06-54-44.mp4D LakyLak bose qc35 ll (input)_2026-05-12_06-55-44.mp4eLakylak boseinput 2026-05-12 06-56-44.mp4el Lakvl ak hoce ac25 ll (innut) 2026-05-12 06-57-14 mn4D LakyLak bose qc35D LakyLak bose qc35 lI (input)_2026-05-12_06-59-13.mp4eLakylak boseut2026-05-2 07-00-13.mo4el lakvl ak hoce ac25 ll finnut) 2026-05-12 07-00-12 mn/_2026-05-12_07-01-13.mp4LakyLak bose qc35 II (input)_2026-05-12_07-01-42.mp401 Lakvlak bose ac25 |l (inout) 2026-05-12 07-02-12 mo4D LakyLak bose qc35 lI (input)_2026-05-12_07-02-42.mp4l Lakvlak bose accs inout) 2026-05-12 07-03-42.m04al Lakvlak hoce ac25 ll finnut) 2026-06-12 07-04-12 mлДD LakyLak bose qc35 II (input)_2026-05-12_07-05-11.mp4a1 Lakvlak bose ac25 l| (inout) 2026-05-12 07-05-41.mo4LakyLak bose qc35 II (input)_2026-05-12_07-06-11.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-06-41.mp401 Lakvlak bose ac35 || inout) 2026-05-12 07-07-11.mo4al takvlak bace ac26 ll finnut) 2026.06.12 07.07-10 mn/_2026-05-12_07-08-10.mp4D LakyLak bose qc35 lI (input)_2026-05-12_07-08-40.mp4el lakvl ak hose ac25 ll (innut) 2026-05-12 07-09-10.mnЛ• LakyLak bose qc35 II (input)_2026-05-12_07-09-40.mp4• LakyLak bose qc35 Il (input)_2026-05-12_07-10-09.mp401 Lakvlak bose ac35 |l inout) 2026-05-12 07-10-39.mo4• LakvLak bose ac35 II (input) 2026-05-12 07-11-09.mD4Group~ Q SearchShare Add TagsAction^ Date ModifiedToday at 9:1611 May 2026 at 9:4511 May 2026 at 9:46Yesterdav at 9:45Yesterday at 9:46Yesterday at 9.40Yesterdav at 9:47Yesterday at 9:47Yesterday at 9:48Yesterday at 9:48Yesterday at 9:49Yesterday at 9:o0Yesterdav at 9:50Yesterday at 9:51Yesterday at 9:52Yesterday at 9:52Yesterday at 9:o3Yecterdav at 0:54Yesterday at 9:56Yesterday at 9:5/Yesterday at 9:58Yesterday at 9:59Yesterdav at 10:00Yecterdav at 10:01Yesterday at 10:02Yesterdav at 10:02Yesterday at 10:03Yesterdav at 10:04Yecterdav at 10:04Yesterday at 10:00Yecterdav at 10:06Yesterday at 10:06Yesterday at 10:07Yesterdav at 10:07Yoctorday at 10:09Yesterday at 10.09Yocterdav at 10:09Yesterday at 10:10Yesterdav at 10:11Yesterdav at 10:111,49 GB Folder5 KB5 KBMPEG-4 movie211 KBMPEG-4 movie204 KB199 KBMPEG-4 movie202 K:MPEG-4 movie201 KB MPEG-4 movie203 KBMPEG-4 movie207 KEMPEG-4 movie207 KB MPEG-4 movie215 KB208 KbMPEG-4 movie211 KB.MPEG-4 movie203 KB MPEG-4 movie207 KB209 K:MPEG-4 movie224 KBMPEG-4 movie208 KB210 KbMPEG-4 movie212 KRIMPEG-A movid206 KB MPEG-4 movie206 KBMPEG-4 movie205 K.208 KB MPEG-4 movie218 KBZ19 KBMPEG-4 movie210 KRIMDEG-A movie212 KBMPEG-4 movie209 KB210 K.MPEG-4 movie209 KBMPEG-4 movie213 KB210 KMPEG-4 movie211 KRIMDEG-A movie213 KBMPEG-4 movie208 KBMPEG-4 movie210 KEMPEG-4 movie211 KB MPEG-4 movie208 KB212 K.210 KRMPEG-4 movieMPEG-4 movie211 KB208 K8MPEG-4 movie206 KBMPFG.A movie210 KB MPEG-4 movie203 KB MPEG-4 movie211 K:MPEG-4 movie211 KRMDEG.A movio217 KB230 K3MPEG-4 movie228 KPMPEG-A movie228 KB MPEG-4 movie207 KB223 KEMPEG-4 movie212 KB MPEG-4 movie1 of 3 941 selected. 22.88 GB availabld• 0Favouritesjiminny(* AirDrop© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4Daily 2026-05-07.mp4rя 1-12026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4r Planning 2026-04-15.mp4Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 55m100% S2Wed 13 May 11:05:42vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterday at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie832,2 MBMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438,9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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LakyLak bose qc35 II (input)_2026-05-11_06-45-25.m LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4...
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LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4...
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Screenpipe — Archive
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All docs Screenpipe — Archive
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SQLite Web: archive.db
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
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Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":23,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":23,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share and export","depth":22,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":22,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"Ask Gemini","depth":20,"on_screen":true,"value":"Ask Gemini","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Ask Gemini","depth":21,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":false,"is_focused":true,"is_selected":false},{"role":"AXStaticText","text":"Gemini is AI and can make mistakes, including about people.","depth":17,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy and Gemini Opens in a new window","depth":17,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy and Gemini","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"8.8","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"KB/s","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"9.3","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"KB/s","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Files","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Control 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Drives","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Theater","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Photos","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Online Office","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"TextEdit","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Virtual Machine","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Downloads","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"DLNA","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"File Version Explorer","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Security","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Jellyfin-HT","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SAN Manager","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Vault","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Snapshot","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Comics","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Sync & Backup","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"UGREEN AI","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Recycle Bin","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Control Panel","depth":13,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
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Cloud Drives
Theater
Photos
Online Office
TextEdit
Virtual Machine
Downloads
DLNA
File Version Explorer
Security
Jellyfin-HT
SAN Manager
Vault
Snapshot
Comics
Sync & Backup
UGREEN AI
Recycle Bin
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Redo
Share and export
Copy
Show more options
Ask Gemini
Ask Gemini
Open upload file menu
Tools
Open mode picker
Pro
Microphone
Send message
Gemini is AI and can make mistakes, including about people.
Your privacy and Gemini Opens in a new window
Your privacy and Gemini
Opens in a new window
Summarize page
Summarize page
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. 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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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2026-05-13T08:05:47.805223+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659547805_m2.jpg...
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Favourites
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Name
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Today at 9:16
1,49 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-16.mp4
Yesterday at 9:45
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-48.mp4
Yesterday at 9:46
204 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-18.mp4
Yesterday at 9:46
199 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-48.mp4
Yesterday at 9:47
202 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4
Yesterday at 9:47
201 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4
Yesterday at 9:48
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-17.mp4
Yesterday at 9:48
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4
Yesterday at 9:49
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4
Yesterday at 9:49
215 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-47.mp4
Yesterday at 9:50
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-17.mp4
Yesterday at 9:50
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-46.mp4
Yesterday at 9:51
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-16.mp4
Yesterday at 9:51
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-46.mp4
Yesterday at 9:52
209 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-16.mp4
Yesterday at 9:52
224 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-45.mp4
Yesterday at 9:53
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-15.mp4
Yesterday at 9:53
210 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-45.mp4
Yesterday at 9:54
212 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-15.mp4
Yesterday at 9:54
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-44.mp4
Yesterday at 9:55
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-55-14.mp4
Yesterday at 9:55
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Today at 9:16
1,49 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-16.mp4
Yesterday at 9:45
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-48.mp4
Yesterday at 9:46
204 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-18.mp4
Yesterday at 9:46
199 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-48.mp4
Yesterday at 9:47
202 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4
Yesterday at 9:47
201 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4
Yesterday at 9:48
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-17.mp4
Yesterday at 9:48
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4
Yesterday at 9:49
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4
Yesterday at 9:49
215 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-47.mp4
Yesterday at 9:50
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-17.mp4
Yesterday at 9:50
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-46.mp4
Yesterday at 9:51
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-16.mp4
Yesterday at 9:51
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-46.mp4
Yesterday at 9:52
209 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-16.mp4
Yesterday at 9:52
224 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-45.mp4
Yesterday at 9:53
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-15.mp4
Yesterday at 9:53
210 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-45.mp4
Yesterday at 9:54
212 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-15.mp4
Yesterday at 9:54
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-44.mp4
Yesterday at 9:55
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-55-14.mp4
Yesterday at 9:55
205 KB
MPEG-4 movie...
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659547827_m1.jpg...
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Finder
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Favourites
jiminny
AirDrop
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Do Favourites
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AirDrop
Recents
Applications
Documents
Downloads
lukas
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iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind
data
Today at 9:16
1,49 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-16.mp4
Yesterday at 9:45
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-48.mp4
Yesterday at 9:46
204 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-18.mp4
Yesterday at 9:46
199 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-48.mp4
Yesterday at 9:47
202 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4
Yesterday at 9:47
201 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4
Yesterday at 9:48
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-17.mp4
Yesterday at 9:48
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4
Yesterday at 9:49
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4
Yesterday at 9:49
215 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-47.mp4
Yesterday at 9:50
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-17.mp4
Yesterday at 9:50
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-46.mp4
Yesterday at 9:51
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-16.mp4
Yesterday at 9:51
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-46.mp4
Yesterday at 9:52
209 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-16.mp4
Yesterday at 9:52
224 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-45.mp4
Yesterday at 9:53
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-15.mp4
Yesterday at 9:53
210 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-45.mp4
Yesterday at 9:54
212 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-15.mp4
Yesterday at 9:54
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-44.mp4
Yesterday at 9:55
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-55-14.mp4
Yesterday at 9:55
205 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-55-44.mp4
Yesterday at 9:56
208 KB
MPEG-4 movie...
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Favourites
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AirDrop
Recents
Applications
Do Favourites
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AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
Name
Date Modified
Size
Kind
data
Today at 9:16
1,49 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-16.mp4
Yesterday at 9:45
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-45-48.mp4
Yesterday at 9:46
204 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-18.mp4
Yesterday at 9:46
199 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-46-48.mp4
Yesterday at 9:47
202 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-18.mp4
Yesterday at 9:47
201 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-47-47.mp4
Yesterday at 9:48
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-17.mp4
Yesterday at 9:48
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-48-47.mp4
Yesterday at 9:49
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4
Yesterday at 9:49
215 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-49-47.mp4
Yesterday at 9:50
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-17.mp4
Yesterday at 9:50
211 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-50-46.mp4
Yesterday at 9:51
203 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-16.mp4
Yesterday at 9:51
207 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-51-46.mp4
Yesterday at 9:52
209 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-16.mp4
Yesterday at 9:52
224 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-52-45.mp4
Yesterday at 9:53
208 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-15.mp4
Yesterday at 9:53
210 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-53-45.mp4
Yesterday at 9:54
212 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-15.mp4
Yesterday at 9:54
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-54-44.mp4
Yesterday at 9:55
206 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-55-14.mp4
Yesterday at 9:55
205 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-12_06-55-44.mp4
Yesterday at 9:56
208 KB
MPEG-4 movie...
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NULL
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NULL
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NULL
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NULL
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30863
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1218
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17
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2026-05-13T08:05:48.852083+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659548852_m2.jpg...
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Finder
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data
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
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Green
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All Tags…
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Today at 9:16
1,49 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4...
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
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Tags
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Yellow
Green
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Purple
All Tags…
data
Today at 9:16
1,49 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4...
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Favourites
jiminny
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Applications
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AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,49 GB...
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accessibility
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
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iCloud Drive
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Eject
Network
Tags
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Orange
Red
Yellow
Green
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Purple
All Tags…
data
Today at 9:16
1,49 GB...
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2026-05-13T08:05:57.978463+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659557978_m2.jpg...
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DXP4800PLUS-B5F8 — Personal
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
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Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
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SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Storage
Overview
Storage
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Storage pool & Volume
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Storage Pool 1
Description
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RAID 1
Hard Drive 1、2
5.4TB
Volume 1
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Btrfs
5.4TB
Used: 3.6TB
Storage Pool 2
Description
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M.2 Hard Drive 2
916.1GB
Volume 2
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Used: 217.8GB
Volume usage
Used: 3.6TB/5.4TB
Available 1.7TB
Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
User Folder
129.6GB
Shared Folder
3.4TB
Snapshot
--
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0B
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0B
LUN
100GB
Others
100.3GB
Shared folder name
Creation time
Occupied volume
Google
2025-08-31
319.5GB
Marti
2025-06-02
10.3GB
Media
2025-09-27
273.6GB
Movies
2025-05-30
2.1TB
Music
2025-06-08
1014MB
Test
2025-05-29
234.3GB
Work
2025-05-31
233.1GB
Youtube
2025-12-07
1GB
ebooks
2025-06-14
7.7GB
screenpipe
2026-04-11
118.9GB
Files
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|
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. 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Folder","depth":24,"bounds":{"left":0.37317154,"top":0.254589,"width":0.028424202,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.3671875,"top":0.2857143,"width":0.0033244682,"height":0.008379889},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"External Device","depth":24,"bounds":{"left":0.37317154,"top":0.28332004,"width":0.03723404,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.36918217,"top":0.31444532,"width":0.0034906915,"height":0.007980846},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"External Storage 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Bin","depth":20,"bounds":{"left":0.37583113,"top":0.76376694,"width":0.024601065,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Screenpipe — Archive
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Used: 3.6TB
Storage Pool 2
Description
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Basic
M.2 Hard Drive 2
916.1GB
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916.1GB
Used: 217.8GB
Volume usage
Used: 3.6TB/5.4TB
Available 1.7TB
Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
User Folder
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Shared Folder
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Snapshot
--
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0B
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100GB
Others
100.3GB
Shared folder name
Creation time
Occupied volume
Google
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319.5GB
Marti
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10.3GB
Media
2025-09-27
273.6GB
Movies
2025-05-30
2.1TB
Music
2025-06-08
1014MB
Test
2025-05-29
234.3GB
Work
2025-05-31
233.1GB
Youtube
2025-12-07
1GB
ebooks
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7.7GB
screenpipe
2026-04-11
118.9GB
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2026-05-13T08:05:59.056705+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659559056_m2.jpg...
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Firefox
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DXP4800PLUS-B5F8 — Personal
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nas.lakylak.xyz/desktop/#/
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monitor_2
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Redo
Share and export
Copy
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Ask Gemini
Ask Gemini
Open upload file menu
Tools
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Pro
Microphone
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Gemini is AI and can make mistakes, including about people.
Your privacy and Gemini Opens in a new window
Your privacy and Gemini
Opens in a new window
Summarize page
Summarize page
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SAN Manager
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Gemini","depth":15,"bounds":{"left":0.068484046,"top":0.14764565,"width":0.0003324468,"height":0.0007980846},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Conversation with Gemini","depth":16,"bounds":{"left":0.068484046,"top":0.15003991,"width":0.1200133,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Copy prompt","depth":21,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Edit","depth":21,"on_screen":false,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":21,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"You said","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. 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This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"bounds":{"left":0.09142287,"top":0.018754989,"width":0.21392952,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"bounds":{"left":0.0787899,"top":0.1009577,"width":0.234375,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"bounds":{"left":0.0787899,"top":0.102553874,"width":0.09690824,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"bounds":{"left":0.0787899,"top":0.12889066,"width":0.0887633,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"bounds":{"left":0.16755319,"top":0.12889066,"width":0.018284574,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"bounds":{"left":0.18583776,"top":0.12889066,"width":0.036070477,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"bounds":{"left":0.22190824,"top":0.12889066,"width":0.015458777,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"bounds":{"left":0.0787899,"top":0.12889066,"width":0.234375,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"bounds":{"left":0.09142287,"top":0.17917,"width":0.025764627,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"bounds":{"left":0.09142287,"top":0.17917,"width":0.2122673,"height":0.037110932},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"bounds":{"left":0.09142287,"top":0.22944932,"width":0.04837101,"height":0.016360734},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. 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Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"bounds":{"left":0.09142287,"top":0.58220273,"width":0.22174202,"height":0.057861134},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the 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Screenpipe — Archive
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Manage extra usage for paid Claude plans | Claude Help Center
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. 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You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. 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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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lukas
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1,5 GB...
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LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
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11 May 2026 at 9:46...
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Today at 9:16
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LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46...
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB5.83 MBO 82APP (-zshggml_nwhispewhisper_vacrena=urre-gpu.Tounu uro uevtce u. mietal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize= truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May 11:06:22ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB5.83 MBO 82APP (-zshggml_nwhispewhisper_vacrena=urre-gpu.Tounu uro uevtce u. mietal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize= truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May 11:06:22ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev% Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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E jiminny•) AirDrop© Recents*Applications9 Documen E jiminny•) AirDrop© Recents*Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeO DXP4800PLUS-B5F A NetworkO CRM• Orange• Red• Yellow• Greeno Bue• Purple• All Tags...Window88E0CMacBook Pro Microphone (inpur), 2026-05-12.12-09-55-.mр4e MaсBook Pro Microphone input 2026-05-12 12-10-25.mp4MacBook Pro Microphone (input)_2026-05-12_12-10-55.mp4омасьоок Pro Micropnone input 2026-00-1212-11-00.mp4•1 MacBook Pro Micronhone (inout) 2026-05-12 12-12-24,mo4MacBook Pro Microphone (input)_2026-05-12_12-12-54.mp4MacBook Pro Microphone (input)_2026-05-12_12-13-24.mp4Macbook Pro Microphone (inout 2026-05-12 12-13-53,mo4.MacBook Pro Microphone (input)_2026-05-12_12-14-23.mp4eмaсboок Pro Microphone (input 2026-05-12 12-15-23.mp4@1 MacBook Pro Micronhone (innut) 2026-05-12 12-15-53.mn4D MacBook Pro Microphone(input)_2026-05-12_12-16-23.mp4MacBook Pro Microphone (input)_2026-05-12_12-16-53.mp401 MacBook Pro Microphone (innut) 2026-05-12 12-17-22 mn4MacBook Pro Microphone (in• MacBook Pro Microphone (inOpen Withe macbook Pro Microphone in@ MacBook Pro Micronhone (inD MacBook Pro Microphone (inD MacBook Pro Microphone (in01 MacBook Pro Microphone in• MacBook Pro Microphone (in• MacBook Pro Microphone (in01 MacBook Pro Microphone ine MacRook Dro Micronhone finD MacBook Pro MicrophoneD MacBook Pro Microphone (inMove to BinGet InfoKenameDuplicateMake AliasQuick LOOkCopy01 MacBook Pro Micronhone (inMacBook Pro Microphone (in.......• MacBook Pro Microphone (in01 MacBook Pro Microphone in• MacBook Pro Microphone (inQuick ActionsD MacBook Pro Microphone (inD MacBook Pro Microphone (inEncode Selected Video Files•1 MacBook Pro Micronhone (inNew "Term2 Tab HereMacBook Pro Microphone (inNew iTerm2 Window Here• MacBook Pro Microphone (inCond Cilec ta Anvhos01 MacBook Pro Microphone (inouur 20zz0-vo-yT-ДО-ОOHIH9eD MacBook Pro Microphone (input)_2026-05-12_17-26-28.mp4D MacBook Pro Microphone (input)_2026-05-12_17-26-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-27-28.mp4al MacRook Dro Micronhone (innutl 2026-05-12 17.27-59 mл/D MacBook Pro Microphone (input)_2026-05-12_17-28-28.mp4• MacBook Pro Microphone (input)_2026-05-12_17-28-58.mр401 MacBook Pro Micronhone (inout) 2026-05-12 17-29-28.mo4MacBook Pro Microphone (input)_2026-05-12_17-29-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-28.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-58.mp4a MacRook Dra Micranhano finnutl 2026.05.12 17.21.29 mn/.•1 MacBook Pro Mici(input)_2026-05-12_17-31-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-32-28.mp4el MacRook Dro Micronhone innut) 2026-05-12 17.22.58 mn/MacBook Pro Microphone (input)_2026-05-12_17-33-28.mp4ManRonk Drn MinCompress "MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4"Group~ Q SearchAdd TagsActionresterady dl 1o.10resterday at 10.14Yesterdav at 15:12Yesterday at 15:13Yesterday at 15:13Yesterday at 15:14Yesterday at 15.10Yecterdav at 15:16Yesterday at 15:16Yesterday at 15:18Yesterday at 16.19Yecterdav at 15:19Yesterday at 15:20Yesterday at 15:20Yecterdav at 15:23Yesterday at 15:59Yesterday at 10.00Yesterdav at 16:00Yesterday at 16:36Yesterday at 20:22Yesterday at 20:22Voctordau at 20:22Yesterday at 20:24Yesterdav at 20:24Yesterday at 20:25Yesterday at 20:26Yesterday at 20:27Vacterdav at 20:29Yesterday at 20:28Yesterday at 20:29Yesterdav at 20:29Yesterday at 20:30Yesterday at 20:31Voctordau at 20:21Yesterday at 20:32Yesterday at 20:32Yecterdav at 20:22Yesterday at 20:33201 KBMPE0"4 movie201 KB201 KBMPEG-4 movie214 KB201 KbMPEG-4 movie208 KB1MPEG-4 movie216 KBMPEG-4 movie206 KBMPEG-4 movie20% KMPEG-4 movie209 KB MPEG-4 movie225 KB219 Kb207 KB212 KB209 KDMPEG-4 movieMPEG.A movieMPEG-4 movieMPEG-4 movie208 K:216 KBMPEG-4 movie218 KBZ10 K-MP-G-4 movie217 KPMPEG-1 movie232 KBMPEG-4 movie218 KBMPEG-4 movie216 KEMPEG-4 movie219 KBMPEG-4 movie215 KB216 K:MPEG-4 movie247 KRMPEG-A movieZ08 KbMPEG-4 movie199 KBIMPEG-4 movie213 KB MPEG-4 movie199 KB199 K:MPEG-4 movieMPEG-4 movie200 kр.204 KB200 KBMPEG-4 movie206 KBIMPEG-4 movie203 KB MPEG-4 movie200 KB211 K:MPEG-4 movie206 KBMPEG-4 movie209 KBMPEG-4 movie109 KRMDEG-A movio207 KBMPEG-4 movie213 KB205 KB MPEG-4 moviel207 vpMDEC.A movid216 K:MPEG-4 movie212 KPMDSG.A movio204 KB MPEG-4 movie206 KBnn0 Vp MDEe A movid1 01 3 943 selected, 22.87 G8 availableravountesjiminny© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive283 Sync folderLocationsO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:24vQ Sear!mate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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E jiminny•) AirDrop© Recents*Applications9 Documen E jiminny•) AirDrop© Recents*Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeO DXP4800PLUS-B5F A NetworkO CRM• Orange• Red• Yellow• Greeno Bue• Purple• All Tags...Window88E0CMacBook Pro Microphone (inpur), 2026-05-12.12-09-55-.mр4e MaсBook Pro Microphone input 2026-05-12 12-10-25.mp4MacBook Pro Microphone (input)_2026-05-12_12-10-55.mp4омасьоок Pro Micropnone input 2026-00-1212-11-00.mp4•1 MacBook Pro Micronhone (inout) 2026-05-12 12-12-24,mo4MacBook Pro Microphone (input)_2026-05-12_12-12-54.mp4MacBook Pro Microphone (input)_2026-05-12_12-13-24.mp4Macbook Pro Microphone (inout 2026-05-12 12-13-53,mo4.MacBook Pro Microphone (input)_2026-05-12_12-14-23.mp4eмaсboок Pro Microphone (input 2026-05-12 12-15-23.mp4@1 MacBook Pro Micronhone (innut) 2026-05-12 12-15-53.mn4D MacBook Pro Microphone(input)_2026-05-12_12-16-23.mp4MacBook Pro Microphone (input)_2026-05-12_12-16-53.mp401 MacBook Pro Microphone (innut) 2026-05-12 12-17-22 mn4MacBook Pro Microphone (in• MacBook Pro Microphone (inOpen Withe macbook Pro Microphone in@ MacBook Pro Micronhone (inD MacBook Pro Microphone (inD MacBook Pro Microphone (in01 MacBook Pro Microphone in• MacBook Pro Microphone (in• MacBook Pro Microphone (in01 MacBook Pro Microphone ine MacRook Dro Micronhone finD MacBook Pro MicrophoneD MacBook Pro Microphone (inMove to BinGet InfoKenameDuplicateMake AliasQuick LOOkCopy01 MacBook Pro Micronhone (inMacBook Pro Microphone (in.......• MacBook Pro Microphone (in01 MacBook Pro Microphone in• MacBook Pro Microphone (inQuick ActionsD MacBook Pro Microphone (inD MacBook Pro Microphone (inEncode Selected Video Files•1 MacBook Pro Micronhone (inNew "Term2 Tab HereMacBook Pro Microphone (inNew iTerm2 Window Here• MacBook Pro Microphone (inCond Cilec ta Anvhos01 MacBook Pro Microphone (inouur 20zz0-vo-yT-ДО-ОOHIH9eD MacBook Pro Microphone (input)_2026-05-12_17-26-28.mp4D MacBook Pro Microphone (input)_2026-05-12_17-26-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-27-28.mp4al MacRook Dro Micronhone (innutl 2026-05-12 17.27-59 mл/D MacBook Pro Microphone (input)_2026-05-12_17-28-28.mp4• MacBook Pro Microphone (input)_2026-05-12_17-28-58.mр401 MacBook Pro Micronhone (inout) 2026-05-12 17-29-28.mo4MacBook Pro Microphone (input)_2026-05-12_17-29-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-28.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-58.mp4a MacRook Dra Micranhano finnutl 2026.05.12 17.21.29 mn/.•1 MacBook Pro Mici(input)_2026-05-12_17-31-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-32-28.mp4el MacRook Dro Micronhone innut) 2026-05-12 17.22.58 mn/MacBook Pro Microphone (input)_2026-05-12_17-33-28.mp4ManRonk Drn MinCompress "MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4"Group~ Q SearchAdd TagsActionresterady dl 1o.10resterday at 10.14Yesterdav at 15:12Yesterday at 15:13Yesterday at 15:13Yesterday at 15:14Yesterday at 15.10Yecterdav at 15:16Yesterday at 15:16Yesterday at 15:18Yesterday at 16.19Yecterdav at 15:19Yesterday at 15:20Yesterday at 15:20Yecterdav at 15:23Yesterday at 15:59Yesterday at 10.00Yesterdav at 16:00Yesterday at 16:36Yesterday at 20:22Yesterday at 20:22Voctordau at 20:22Yesterday at 20:24Yesterdav at 20:24Yesterday at 20:25Yesterday at 20:26Yesterday at 20:27Vacterdav at 20:29Yesterday at 20:28Yesterday at 20:29Yesterdav at 20:29Yesterday at 20:30Yesterday at 20:31Voctordau at 20:21Yesterday at 20:32Yesterday at 20:32Yecterdav at 20:22Yesterday at 20:33201 KBMPE0"4 movie201 KB201 KBMPEG-4 movie214 KB201 KbMPEG-4 movie208 KB1MPEG-4 movie216 KBMPEG-4 movie206 KBMPEG-4 movie20% KMPEG-4 movie209 KB MPEG-4 movie225 KB219 Kb207 KB212 KB209 KDMPEG-4 movieMPEG.A movieMPEG-4 movieMPEG-4 movie208 K:216 KBMPEG-4 movie218 KBZ10 K-MP-G-4 movie217 KPMPEG-1 movie232 KBMPEG-4 movie218 KBMPEG-4 movie216 KEMPEG-4 movie219 KBMPEG-4 movie215 KB216 K:MPEG-4 movie247 KRMPEG-A movieZ08 KbMPEG-4 movie199 KBIMPEG-4 movie213 KB MPEG-4 movie199 KB199 K:MPEG-4 movieMPEG-4 movie200 kр.204 KB200 KBMPEG-4 movie206 KBIMPEG-4 movie203 KB MPEG-4 movie200 KB211 K:MPEG-4 movie206 KBMPEG-4 movie209 KBMPEG-4 movie109 KRMDEG-A movio207 KBMPEG-4 movie213 KB205 KB MPEG-4 moviel207 vpMDEC.A movid216 K:MPEG-4 movie212 KPMDSG.A movio204 KB MPEG-4 movie206 KBnn0 Vp MDEe A movid1 01 3 943 selected, 22.87 G8 availableravountesjiminny© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive283 Sync folderLocationsO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:24vQ Sear!mate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:09.26 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB5.83 MBО 882APP (-zshggml_nwhispewhisper_vacrena=urre-gpu.Tounu uro uevtce u. mietal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize= truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May11:06:24ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev®. Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-whispe00:3000:30whispewhispeDEV (-zsh)7.17 MB5.96 MB3.50 MB5.83 MBО 882APP (-zshggml_nwhispewhisper_vacrena=urre-gpu.Tounu uro uevtce u. mietal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init:use concurrencytrueggml_metal_init: use graphoptimize= truewhisper_backend_init: using BLAS backendwhisper_init_state: kv selfsize=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: computebuffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize =truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.5182612INFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May11:06:24ED→Describe what you are looking forJiminny ..+tcusmecruus# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev®. Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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raVoliiE jiminny(•) AirDrop• RecentsA Applications raVoliiE jiminny(•) AirDrop• RecentsA Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeDXP4800PLUS-B5FA Network• CRM• Orange• Red€ Yellow• Greeno Bue• Purple• All Tags...WindowMacBook Pro Microphone (inpur), 2026-05-12.12-09-55.mр4e MaсBook Pro Microphone input 2026-05-12 12-10-25.mp4MacBook Pro Microphone (input)_2026-05-12_12-10-55.mp4омасьоок Pro Micropnone input 2026-00-1212-11-00.mp4MacBook Pro Microphone (input)_2026-05-12_12-12-24.mp4MacBook Pro Microphone (input)_2026-05-12_12-12-54.mp4MacBook Pro Microphone (input)_2026-05-12_12-13-24.mp4Macbook Pro Microphone (inout 2026-05-12 12-13-53,mo4.MacBook Pro Microphone (input)_2026-05-12_12-14-23.mp4• MacBook Pro Microphone (input)_2026-05-12_12-14-53.mр4MacBook Pro Microphone (input)_2026-05-12_12-15-23.mp4MacBook Pro Microphone (input)_2026-05-12_12-15-53.mp4• MacBook Pro Microphone• MacBook Pro Microphone (input)_2026-05-12_12-16-53.mp4MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4MacBook Pro Microphone (input)_2026-05-12_12-17-53.mp4MacBook Pro Microphone (input)_2026-05-12_12-18-22.mp4e macbook Pro Microphone inout 7026-06-12 12-18-64.m04• MacBook Pro Microphone (input)_ 2026-05-12_12-19-22.mp4D MacBook Pro Microphone (input)_2026-05-12_12-19-52.mp4MacBook Pro Microphone (input)_2026-05-12_12-20-21.mp4MacBook Pro Microphone (input)_2026-05-12_12-20-51.mp4MacBook Pro Microphone (input)_2026-05-12_12-21-21.mp401 MacBook Pro Microphone (inout) 2026-05-12 12-22-21.mp4• MacBook Pro Microphone (input) 2026-05-12_12-22-51.mp4• MacBook Pro MicrophoD MacBook Pro Microphone (input)_2026-05-12_12-59-41.mp401 MacBook Pro Micronhone (inout) 2026-05-12 13-00-11.mo4MacBook Pro Microphone (input)_2026-05-12_13-35-39.mp4• MacBook Pro Microphone (input)_2026-05-12_17-21-56.mр401 MacBook Pro Microphone (inout) 2026-05-12 17-22-28.mo4D MacBook Pro Microphone (input)_2026-05-12_17-22-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-23-28.mp4D MacBook Pro Microphone (input)_2026-05-12_17-23-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-24-28.mp4• MacBook Pro Microphone(input)_2026-05-12_17-24-58.mp4• MacBook Pro Microphone (input)_2026-05-12_17-25-28.mp401 MacBook Pro Microphone ((inout) 2026-05-12 17-25-58.mo4D MacBook Pro Microphone (input)_2026-05-12_17-26-28.mp4D MacBook Pro Microphone (input)_2026-05-12_17-26-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-27-28.mp4• MacBook Pro Microphone (input)_2026-05-12_17-27-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-28-28.mp4• MacBook Pro Microphone (input)_2026-05-12_17-28-58.mp401 MacBook Pro Micronhone (inout) 2026-05-12 17-29-28.mo4MacBook Pro Microphone (input)_2026-05-12_17-29-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-28.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-58.mp4a MacRook Dra Micranhano finnutl 2026.05.12 17.21.29 mn/.MacBook Pro Microphone• MacBook Pro Microphone (input)_2026-05-12_17-32-28.mp4el MacRook Dro Micronhone innut) 2026-05-12 17.22.58 mn/• MacBook Pro Microphone (input) 2026-05-12 17-33-28.mр488E0CGroup~ Q SearchShare Add TagsActionresterady dl 1o.10resterday at 10.14Yesterdav at 15:12Yesterday at 15:13Yesterday at 15:13Yesterday at 15:14Yesterday at 15.10Yecterdav at 15:16Yesterday at 15:16Yesterday at 15:17Yesterday at 15:18Yesterday at 16.19Yecterdav at 15:19Yesterday at 15:20Yesterday at 15:20Yecterdav at 15:23Yesterday at 15:59Yesterday at 10.00Yesterdav at 16:00Yesterday at 16:36Yesterday at 20:22Yesterday at 20:22Voctordau at 20:22Yesterday at 20:24Yesterdav at 20:24Yesterday at 20:25resterday al 40.20Yesterdav at 20:26Yesterday at 20:26Yesterday at 20:27Vacterdav at 20:29Yesterday at 20:28Yesterday at 20:29Yesterdav at 20:29Yesterday at 20:30Yesterday at 20:31Voctordau at 20:21Yesterday at 20:32Yesterday at 20:32Yecterdav at 20:22Yesterday at 20:33201 KBMPE0"4 movie201 KBMPEG-4 movie201 KBMPEG-4 movie214 KB201 KbMPEG-4 movie208 KB1MPEG-4 movie216 KBMPEG-4 movie206 KBMPEG-4 movie20% KMPEG-4 movie209 KBMPEG-4 movie225 KB219 Kb207 KBMPEG-4 movieMPEG-A movid212 KB209 KDMPEG-4 movie208 K:216 KBMPEG-4 movie218 KBZ10 K-MP-G-4 movie217 KRIMPEG-A movie232 KBMPEG-4 movie218 KBMPEG-4 movie216 KEMPEG-4 movie219 KBMPEG-4 movie215 KB216 K:MPEG-4 movie247 KRMPEG-A movieZ08 KbMPEG-4 movie199 KBIMPEG-4 movie213 KB MPEG-4 movie199 KB199 K:MPEG-4 movieMPEG-4 movie200 kр.204 KB200 KBMPEG-4 movie206 KBIMPEG-4 movie203 KB MPEG-4 movie200 KB211 K:n0s keMPEG-4 movieMPEG-4 movie209 KBMPEG-4 movie109 KRMDEG-A movio207 KBMPEG-4 movie213 KB205 KB MPEG-4 moviel207 vpMPEG-4 movie216 K:MPEG-4 movie212 KPMDSG.A movio204 KB MPEG-4 movie206 KBnn0 Vp MDEe A movid1 of 3 943 selected. 22.87 GB availabFavouritesjiminny© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive283 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/- Refinenment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:25vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:0926 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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raVoliiE jiminny(•) AirDrop• RecentsA Applications raVoliiE jiminny(•) AirDrop• RecentsA Applications9 Documents© Downloadsi lukas• iCloud Drive999 Snc toldeDXP4800PLUS-B5FA Network• CRM• Orange• Red€ Yellow• Greeno Bue• Purple• All Tags...WindowMacBook Pro Microphone (inpur), 2026-05-12.12-09-55.mр4e MaсBook Pro Microphone input 2026-05-12 12-10-25.mp4MacBook Pro Microphone (input)_2026-05-12_12-10-55.mp4омасьоок Pro Micropnone input 2026-00-1212-11-00.mp4MacBook Pro Microphone (input)_2026-05-12_12-12-24.mp4MacBook Pro Microphone (input)_2026-05-12_12-12-54.mp4MacBook Pro Microphone (input)_2026-05-12_12-13-24.mp4Macbook Pro Microphone (inout 2026-05-12 12-13-53,mo4.MacBook Pro Microphone (input)_2026-05-12_12-14-23.mp4• MacBook Pro Microphone (input)_2026-05-12_12-14-53.mр4MacBook Pro Microphone (input)_2026-05-12_12-15-23.mp4MacBook Pro Microphone (input)_2026-05-12_12-15-53.mp4• MacBook Pro Microphone• MacBook Pro Microphone (input)_2026-05-12_12-16-53.mp4MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4MacBook Pro Microphone (input)_2026-05-12_12-17-53.mp4MacBook Pro Microphone (input)_2026-05-12_12-18-22.mp4e macbook Pro Microphone inout 7026-06-12 12-18-64.m04• MacBook Pro Microphone (input)_ 2026-05-12_12-19-22.mp4D MacBook Pro Microphone (input)_2026-05-12_12-19-52.mp4MacBook Pro Microphone (input)_2026-05-12_12-20-21.mp4MacBook Pro Microphone (input)_2026-05-12_12-20-51.mp4MacBook Pro Microphone (input)_2026-05-12_12-21-21.mp401 MacBook Pro Microphone (inout) 2026-05-12 12-22-21.mp4• MacBook Pro Microphone (input) 2026-05-12_12-22-51.mp4• MacBook Pro MicrophoD MacBook Pro Microphone (input)_2026-05-12_12-59-41.mp401 MacBook Pro Micronhone (inout) 2026-05-12 13-00-11.mo4MacBook Pro Microphone (input)_2026-05-12_13-35-39.mp4• MacBook Pro Microphone (input)_2026-05-12_17-21-56.mр401 MacBook Pro Microphone (inout) 2026-05-12 17-22-28.mo4D MacBook Pro Microphone (input)_2026-05-12_17-22-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-23-28.mp4D MacBook Pro Microphone (input)_2026-05-12_17-23-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-24-28.mp4• MacBook Pro Microphone(input)_2026-05-12_17-24-58.mp4• MacBook Pro Microphone (input)_2026-05-12_17-25-28.mp401 MacBook Pro Microphone ((inout) 2026-05-12 17-25-58.mo4D MacBook Pro Microphone (input)_2026-05-12_17-26-28.mp4D MacBook Pro Microphone (input)_2026-05-12_17-26-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-27-28.mp4• MacBook Pro Microphone (input)_2026-05-12_17-27-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-28-28.mp4• MacBook Pro Microphone (input)_2026-05-12_17-28-58.mp401 MacBook Pro Micronhone (inout) 2026-05-12 17-29-28.mo4MacBook Pro Microphone (input)_2026-05-12_17-29-58.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-28.mp4MacBook Pro Microphone (input)_2026-05-12_17-30-58.mp4a MacRook Dra Micranhano finnutl 2026.05.12 17.21.29 mn/.MacBook Pro Microphone• MacBook Pro Microphone (input)_2026-05-12_17-32-28.mp4el MacRook Dro Micronhone innut) 2026-05-12 17.22.58 mn/• MacBook Pro Microphone (input) 2026-05-12 17-33-28.mр488E0CGroup~ Q SearchShare Add TagsActionresterady dl 1o.10resterday at 10.14Yesterdav at 15:12Yesterday at 15:13Yesterday at 15:13Yesterday at 15:14Yesterday at 15.10Yecterdav at 15:16Yesterday at 15:16Yesterday at 15:17Yesterday at 15:18Yesterday at 16.19Yecterdav at 15:19Yesterday at 15:20Yesterday at 15:20Yecterdav at 15:23Yesterday at 15:59Yesterday at 10.00Yesterdav at 16:00Yesterday at 16:36Yesterday at 20:22Yesterday at 20:22Voctordau at 20:22Yesterday at 20:24Yesterdav at 20:24Yesterday at 20:25resterday al 40.20Yesterdav at 20:26Yesterday at 20:26Yesterday at 20:27Vacterdav at 20:29Yesterday at 20:28Yesterday at 20:29Yesterdav at 20:29Yesterday at 20:30Yesterday at 20:31Voctordau at 20:21Yesterday at 20:32Yesterday at 20:32Yecterdav at 20:22Yesterday at 20:33201 KBMPE0"4 movie201 KBMPEG-4 movie201 KBMPEG-4 movie214 KB201 KbMPEG-4 movie208 KB1MPEG-4 movie216 KBMPEG-4 movie206 KBMPEG-4 movie20% KMPEG-4 movie209 KBMPEG-4 movie225 KB219 Kb207 KBMPEG-4 movieMPEG-A movid212 KB209 KDMPEG-4 movie208 K:216 KBMPEG-4 movie218 KBZ10 K-MP-G-4 movie217 KRIMPEG-A movie232 KBMPEG-4 movie218 KBMPEG-4 movie216 KEMPEG-4 movie219 KBMPEG-4 movie215 KB216 K:MPEG-4 movie247 KRMPEG-A movieZ08 KbMPEG-4 movie199 KBIMPEG-4 movie213 KB MPEG-4 movie199 KB199 K:MPEG-4 movieMPEG-4 movie200 kр.204 KB200 KBMPEG-4 movie206 KBIMPEG-4 movie203 KB MPEG-4 movie200 KB211 K:n0s keMPEG-4 movieMPEG-4 movie209 KBMPEG-4 movie109 KRMDEG-A movio207 KBMPEG-4 movie213 KB205 KB MPEG-4 moviel207 vpMPEG-4 movie216 K:MPEG-4 movie212 KPMDSG.A movio204 KB MPEG-4 movie206 KBnn0 Vp MDEe A movid1 of 3 943 selected. 22.87 GB availabFavouritesjiminny© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive283 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#* Dally 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/- Refinenment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:25vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:0926 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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Screenpipe — Archive
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. 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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or
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Storage Pool 1
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Hard Drive 1、2
5.4TB
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5.4TB
Used: 3.6TB
Storage Pool 2
Description
Normal
Basic
M.2 Hard Drive 2
916.1GB
Volume 2
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916.1GB
Used: 217.8GB
Volume usage
Used: 3.6TB/5.4TB
Available 1.7TB
Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
User Folder
129.6GB
Shared Folder
3.4TB
Snapshot
--
Exclusive(Exclusive)
0B
Shared(Shared)
0B
LUN
100GB
Others
100.3GB
Shared folder name
Creation time
Occupied volume
Google
2025-08-31
319.5GB
Marti
2025-06-02
10.3GB
Media
2025-09-27
273.6GB
Movies
2025-05-30
2.1TB
Music
2025-06-08
1014MB
Test
2025-05-29
234.3GB
Work
2025-05-31
233.1GB
Youtube
2025-12-07
1GB
ebooks
2025-06-14
7.7GB
screenpipe
2026-04-11
118.9GB
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Shared Folder
Media
Please enter
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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app_switch
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accessibility
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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NULL
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data
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NULL
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monitor_2
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NULL
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NULL
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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[{"role":"AXStaticText","text& [{"role":"AXStaticText","text":"Favourites","depth":6,"bounds":{"left":0.004654255,"top":0.061452515,"width":0.06216755,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"jiminny","depth":6,"bounds":{"left":0.012632979,"top":0.08140463,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"AirDrop","depth":6,"bounds":{"left":0.012632979,"top":0.103751,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Recents","depth":6,"bounds":{"left":0.012632979,"top":0.12609737,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Applications","depth":6,"bounds":{"left":0.012632979,"top":0.14844373,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Documents","depth":6,"bounds":{"left":0.012632979,"top":0.1707901,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Downloads","depth":6,"bounds":{"left":0.012632979,"top":0.19313647,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"lukas","depth":6,"bounds":{"left":0.012632979,"top":0.21548285,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"iCloud","depth":6,"bounds":{"left":0.004654255,"top":0.2434158,"width":0.06216755,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"iCloud Drive","depth":6,"bounds":{"left":0.012632979,"top":0.26336792,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Sync folder","depth":6,"bounds":{"left":0.012632979,"top":0.2857143,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Locations","depth":6,"bounds":{"left":0.004654255,"top":0.31364724,"width":0.06216755,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"DXP4800PLUS-B5F","depth":6,"bounds":{"left":0.012632979,"top":0.33359936,"width":0.043218084,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXButton","text":"Eject","depth":6,"bounds":{"left":0.05651596,"top":0.33519554,"width":0.0043218085,"height":0.009577015},"on_screen":true,"role_description":"button","is_enabled":true,"is_focused":false},{"role":"AXStaticText","text":"Network","depth":6,"bounds":{"left":0.012632979,"top":0.35594574,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Tags","depth":6,"bounds":{"left":0.004654255,"top":0.38387868,"width":0.06216755,"height":0.015163607},"on_screen":true,"automation_id":"xSidebarHeader","role_description":"text"},{"role":"AXStaticText","text":"CRM","depth":6,"bounds":{"left":0.012632979,"top":0.4038308,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Orange","depth":6,"bounds":{"left":0.012632979,"top":0.42617717,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Red","depth":6,"bounds":{"left":0.012632979,"top":0.44852355,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Yellow","depth":6,"bounds":{"left":0.012632979,"top":0.4708699,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Green","depth":6,"bounds":{"left":0.012632979,"top":0.49321628,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Blue","depth":6,"bounds":{"left":0.012632979,"top":0.51556265,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"Purple","depth":6,"bounds":{"left":0.012632979,"top":0.53790903,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXStaticText","text":"All Tags…","depth":6,"bounds":{"left":0.012632979,"top":0.5602554,"width":0.049534574,"height":0.012769354},"on_screen":true,"role_description":"text"},{"role":"AXTextField","text":"data","depth":7,"on_screen":false,"value":"data","role_description":"text field","is_enabled":true,"is_focused":false,"is_selected":false}]...
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app_switch
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accessibility
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-.whispe00:30whispeDEV (-zsh)5.96 MB00:303.50 MB5.83 MBO 82APP (-zshggml_nwhispewhispeal (type: 1, cnt:0)whisperzoacкene_ure-gpa.astпg месат васкепаggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init: use fusion= trueggml_metal_init: use concurrencytrueggml_metal_init: use graph optimizetruewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: computebuffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize = truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.518261Z2026-05-13T11:06:32.259526ZINFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May11:06:33ED→Describe what you are looking forJiminny ...cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev®. Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-.whispe00:30whispeDEV (-zsh)5.96 MB00:303.50 MB5.83 MBO 82APP (-zshggml_nwhispewhispeal (type: 1, cnt:0)whisperzoacкene_ure-gpa.astпg месат васкепаggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init: use fusion= trueggml_metal_init: use concurrencytrueggml_metal_init: use graph optimizetruewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: computebuffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize = truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.518261Z2026-05-13T11:06:32.259526ZINFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May11:06:33ED→Describe what you are looking forJiminny ...cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev®. Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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FinderE jiminny(* AirDrop4) RecentsA Applications( FinderE jiminny(* AirDrop4) RecentsA Applications(4 Documents• DownloadsG lukasiCloud Drive999 Snc toldeDXP4800PLUS-B5FA• CRM• Orange• Red• Yellow• Green• Blue• Purple•All Taqs….WindowHelpdaraD sounacore meroclp (miput-c0zo-00-140r-2 tomnp"e soundcore Aeroclip (input 2026-05-12 07-27-49.mp4D soundcore AeroClip (input)_2026-05-12_07-28-19.mp4D soundcore AeroClip (input)_2026-05-12_07-28-49.mр4D soundcore AeroClip (input)_2026-05-12_07-29-19.mp40 soundcore AeroClio (inout) 2026-05-12 07-29-49.mo4D soundcore AeroClip (input)_2026-05-12_07-30-19.mp4• soundcore AeroClip (input)_2026-05-12_07-30-49.mp4@ soundcore AeroClip (input) _ 2026-05-12_07-31-19.mp4soundcore AeroClip (input)_2026-05-12_07-31-49.mp4soundcore AeroClip (input)_2026-05-12_07-32-19.mp4• soundcore AeroClip (input)_2026-05-12_07-32-49.mp401 soundcore AeroClio (inout) 2026-05-12 07-33-18.mo4indcore AeroClip (input)_2026-05-12_07-33-48.mp4• soundcore AeroClip (input)_2026-05-12_07-34-18.mp40 soundcore AeroClip (input) 2026-05-12 07-34-48.mp4D soundcore AeroClip (input)_2026-05-12_07-35-18.mp4• soundcore AeroClip (input)_2026-05-12_07-35-48.mp4D soundcore AeroClip (input)_2026-05-12_07-36-18.mp4el coundcore Aeroclin (innut) 2026-05-12 07.26-48.mn/idcore AeroClip (input)_2026-05-12_07-37-18.mp4• soundcore AeroClip (input)_2026-05-12_07-37-48.mp40 soundcore AeroClip (inout) 2026-05-12 07-38-18.mo4D soundcore AeroClip (input)_2026-05-12_07-38-48.mp4• soundcore AeroClip (input)_2026-05-12_07-39-18.mp4• soundcore AeroClip (input)_2026-05-12_07-39-48.mp4@ coundcore AeroClin (innut) 2026-05-12 07-40-18 mn4(input)_2026-05-12_07-40-48.mp4• soundcore AeroClip (input)_2026-05-12_07-41-18.mp4• soundcore Aeroclin inout 2026-05-12 07-41-48.mo4•soundcore AeroClio (input) 2026-05-12_07-42-18.mp4• soundcore AeroClip (input)_2026-05-12_07-42-48.mp4• soundcore AeroClip (input) 2026-05-12_07-43-18.mp4@l coundcore AeroClin (innut) 2026-05-12 07-12-47 mn4(input) _2026-05-12_07-44-47.mp4• soundcore AeroClip (input)_2026-05-12_07-45-19.mp4•1 soundcore AeroClin (inout) 2026-05-12 07-45-49 mo4• soundcore AeroClio (input) 2026-05-12_07-46-19.mp4• soundcore AeroClip (input)_2026-05-12_07-47-19.mp4@ soundcore AeroClio (input) 2026-05-12 07-47-51.mр4al coundcore AeroClin (innut) 2026-05-12 07-18-21 mn/soundcore AeroClip (input)_2026-05-12_07-48-51.mp4• soundcore AeroClip (input)_2026-05-12_07-49-21.mp4• soundcore AeroClin (inout) 2026-05-12 07-49.51.mo/D soundcore AeroClip (input)_2026-05-12_07-50-27.mp40l soundcore AeroClio (inout) 2026-05-12 07-51-29 mo4al coundcore MeroClin finnut) 2026.06.12 07.51-50 mл/(input)_2026-05-12_07-52-29.mp4• soundcore AeroClip (input)_2026-05-12_07-52-59.mр4@l coundcore AeroClin (innut) 2026-05-12 07-53-29 mn/D soundcore AeroClip (input)_2026-05-12_07-53-59.mp40l soundcore AeroClio (inout) 2026-05-12 07-54-59.mo4a cnundhara MoroGlin finnutl 2006 06. 42 07.66,.20 mл/soundcore AeroClip (inpuli) 2026-05-12-07-55-58.mp4GroupShare Add TagsAction~ Q SearchYesterday at 10.28Yesterday at 10:28resteraay al lU.4sYesterdav at 10:30Yesterday at 10:30Yesterday at 10:31Yesterday at 10:32Yesterday at 10:33Yesterdav at 10:3kYesterday at 10:34Yesterday at 10:34Yesterday at 10:35Yesterday at 10:36Yecterdav at 10:27Yesterday at 10:37Yesterday at 10:38Yesterday at 10:38Yesterday at 10:39Yesterday at 10:40Yocterdav at 10:40Yesterday at 10:41Yesterdav at 10:41Yesterday at 10:42Yesterday at 10:43Yecterdav at 10:14Yesterday at 10:45Yesterday at 10:45Yesterdav at 10:46Yesterday at 10:46Yesterdav at 10:48Yecterdav at 10:19Yesterday at 10:49Yesterday at 10:49Yesterdav at 10:50Yesterday at 10:50Yesterdav at 10:51Yoctorday at 10:52Yesterday at 10:52Yesterday at 10.03Yocterdav at 10:53Yesterday at 10:54Yesterdav at 10:55Vootordou ot 10.66LONG45 KBMPEG-4 movie24 KBMPEG-4 movie35 KB24 KBMPEG-4 movie17 KВMPEG-4 movie43 KB MPEG-4 movie36 KB21 KE18 KBMPEG-4 movieMPEG-4 movie41 KB36 KBMPEG-4 movie19 KВIMPEG-4 movie80 KB MPEG-4 movie83 KBMPEG-4 movie93 KВMPEG-4 movie72 KRMPEG-4 movie45 KB23 KBMPEG-4 movie22 K:MPEG-A movid34 KBMPEG-4 movie19 KB17 KB40 KBMPEG-4 movieMPEG-4 movie25 KB32 KEMPEG-4 movie15 KRIMDEG-A movie14 KBMPEG-4 movie15 KBMPEG-4 movie28 K:ASKRMPEG-4 movie68 KB15 KB16 KRMPEG-4 movieMDEG-A movie9 KB37 KB23 KE7 KBMPEG-4 movieMPEG-4 movieMPEG-4 movie7 KB16 K:MPEG-4 movie.15 KRMDSG-A movie14 KBMPEG-4 movie11 KBMPEG-4 movie5 KEMPEG-A movie26 KBMPEG-4 movie10 KB12 KEMPEG-4 movie17 KRMDEG.A movio16 KB13 KBMP=G-4 movie18 KPMPEG-A movie9 KBMPEG-4 movie6 KB12 KEMPEG-4 movien0 vpMDEAA MAvin1 of 3 943 selected. 22.87 GB availableFavouritesjiminny(* AirDrop© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• Purple•) All lagsworkv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinement 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:33vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:0926 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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FinderE jiminny(* AirDrop4) RecentsA Applications( FinderE jiminny(* AirDrop4) RecentsA Applications(4 Documents• DownloadsG lukasiCloud Drive999 Snc toldeDXP4800PLUS-B5FA• CRM• Orange• Red• Yellow• Green• Blue• Purple•All Taqs….WindowHelpdaraD sounacore meroclp (miput-c0zo-00-140r-2 tomnp"e soundcore Aeroclip (input 2026-05-12 07-27-49.mp4D soundcore AeroClip (input)_2026-05-12_07-28-19.mp4D soundcore AeroClip (input)_2026-05-12_07-28-49.mр4D soundcore AeroClip (input)_2026-05-12_07-29-19.mp40 soundcore AeroClio (inout) 2026-05-12 07-29-49.mo4D soundcore AeroClip (input)_2026-05-12_07-30-19.mp4• soundcore AeroClip (input)_2026-05-12_07-30-49.mp4@ soundcore AeroClip (input) _ 2026-05-12_07-31-19.mp4soundcore AeroClip (input)_2026-05-12_07-31-49.mp4soundcore AeroClip (input)_2026-05-12_07-32-19.mp4• soundcore AeroClip (input)_2026-05-12_07-32-49.mp401 soundcore AeroClio (inout) 2026-05-12 07-33-18.mo4indcore AeroClip (input)_2026-05-12_07-33-48.mp4• soundcore AeroClip (input)_2026-05-12_07-34-18.mp40 soundcore AeroClip (input) 2026-05-12 07-34-48.mp4D soundcore AeroClip (input)_2026-05-12_07-35-18.mp4• soundcore AeroClip (input)_2026-05-12_07-35-48.mp4D soundcore AeroClip (input)_2026-05-12_07-36-18.mp4el coundcore Aeroclin (innut) 2026-05-12 07.26-48.mn/idcore AeroClip (input)_2026-05-12_07-37-18.mp4• soundcore AeroClip (input)_2026-05-12_07-37-48.mp40 soundcore AeroClip (inout) 2026-05-12 07-38-18.mo4D soundcore AeroClip (input)_2026-05-12_07-38-48.mp4• soundcore AeroClip (input)_2026-05-12_07-39-18.mp4• soundcore AeroClip (input)_2026-05-12_07-39-48.mp4@ coundcore AeroClin (innut) 2026-05-12 07-40-18 mn4(input)_2026-05-12_07-40-48.mp4• soundcore AeroClip (input)_2026-05-12_07-41-18.mp4• soundcore Aeroclin inout 2026-05-12 07-41-48.mo4•soundcore AeroClio (input) 2026-05-12_07-42-18.mp4• soundcore AeroClip (input)_2026-05-12_07-42-48.mp4• soundcore AeroClip (input) 2026-05-12_07-43-18.mp4@l coundcore AeroClin (innut) 2026-05-12 07-12-47 mn4(input) _2026-05-12_07-44-47.mp4• soundcore AeroClip (input)_2026-05-12_07-45-19.mp4•1 soundcore AeroClin (inout) 2026-05-12 07-45-49 mo4• soundcore AeroClio (input) 2026-05-12_07-46-19.mp4• soundcore AeroClip (input)_2026-05-12_07-47-19.mp4@ soundcore AeroClio (input) 2026-05-12 07-47-51.mр4al coundcore AeroClin (innut) 2026-05-12 07-18-21 mn/soundcore AeroClip (input)_2026-05-12_07-48-51.mp4• soundcore AeroClip (input)_2026-05-12_07-49-21.mp4• soundcore AeroClin (inout) 2026-05-12 07-49.51.mo/D soundcore AeroClip (input)_2026-05-12_07-50-27.mp40l soundcore AeroClio (inout) 2026-05-12 07-51-29 mo4al coundcore MeroClin finnut) 2026.06.12 07.51-50 mл/(input)_2026-05-12_07-52-29.mp4• soundcore AeroClip (input)_2026-05-12_07-52-59.mр4@l coundcore AeroClin (innut) 2026-05-12 07-53-29 mn/D soundcore AeroClip (input)_2026-05-12_07-53-59.mp40l soundcore AeroClio (inout) 2026-05-12 07-54-59.mo4a cnundhara MoroGlin finnutl 2006 06. 42 07.66,.20 mл/soundcore AeroClip (inpuli) 2026-05-12-07-55-58.mp4GroupShare Add TagsAction~ Q SearchYesterday at 10.28Yesterday at 10:28resteraay al lU.4sYesterdav at 10:30Yesterday at 10:30Yesterday at 10:31Yesterday at 10:32Yesterday at 10:33Yesterdav at 10:3kYesterday at 10:34Yesterday at 10:34Yesterday at 10:35Yesterday at 10:36Yecterdav at 10:27Yesterday at 10:37Yesterday at 10:38Yesterday at 10:38Yesterday at 10:39Yesterday at 10:40Yocterdav at 10:40Yesterday at 10:41Yesterdav at 10:41Yesterday at 10:42Yesterday at 10:43Yecterdav at 10:14Yesterday at 10:45Yesterday at 10:45Yesterdav at 10:46Yesterday at 10:46Yesterdav at 10:48Yecterdav at 10:19Yesterday at 10:49Yesterday at 10:49Yesterdav at 10:50Yesterday at 10:50Yesterdav at 10:51Yoctorday at 10:52Yesterday at 10:52Yesterday at 10.03Yocterdav at 10:53Yesterday at 10:54Yesterdav at 10:55Vootordou ot 10.66LONG45 KBMPEG-4 movie24 KBMPEG-4 movie35 KB24 KBMPEG-4 movie17 KВMPEG-4 movie43 KB MPEG-4 movie36 KB21 KE18 KBMPEG-4 movieMPEG-4 movie41 KB36 KBMPEG-4 movie19 KВIMPEG-4 movie80 KB MPEG-4 movie83 KBMPEG-4 movie93 KВMPEG-4 movie72 KRMPEG-4 movie45 KB23 KBMPEG-4 movie22 K:MPEG-A movid34 KBMPEG-4 movie19 KB17 KB40 KBMPEG-4 movieMPEG-4 movie25 KB32 KEMPEG-4 movie15 KRIMDEG-A movie14 KBMPEG-4 movie15 KBMPEG-4 movie28 K:ASKRMPEG-4 movie68 KB15 KB16 KRMPEG-4 movieMDEG-A movie9 KB37 KB23 KE7 KBMPEG-4 movieMPEG-4 movieMPEG-4 movie7 KB16 K:MPEG-4 movie.15 KRMDSG-A movie14 KBMPEG-4 movie11 KBMPEG-4 movie5 KEMPEG-A movie26 KBMPEG-4 movie10 KB12 KEMPEG-4 movie17 KRMDEG.A movio16 KB13 KBMP=G-4 movie18 KPMPEG-A movie9 KBMPEG-4 movie6 KB12 KEMPEG-4 movien0 vpMDEAA MAvin1 of 3 943 selected. 22.87 GB availableFavouritesjiminny(* AirDrop© Recents* Applications|9 Documents• Downloads1i lukasiCloud• iCloud Drive288 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• Purple•) All lagsworkv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4# Daily 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinement 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:33vQ Searcmate nditeaToday at 10:53Today at 10:51Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:0926 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-.whispe00:30whispeDEV (-zsh)5.96 MB00:303.50 MB5.83 MBO 82APP (-zshggml_nwhispewhispeal (type: 1, cnt:0)whisperzoacкene_ure-gpa.astпg месат васкепаggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init: use fusion= trueggml_metal_init: use concurrencytrueggml_metal_init: use graph optimizetruewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: computebuffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize = truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.518261Z2026-05-13T11:06:32.259526ZINFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May11:06:34ED→Describe what you are looking forJiminny ...cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev®. Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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QuickTime PlayerFileEditViewWindowHelpscreeilDOCKE QuickTime PlayerFileEditViewWindowHelpscreeilDOCKERwhispe• 81LakyLak bose qc35 |I (input)_2026-.whispe00:30whispeDEV (-zsh)5.96 MB00:303.50 MB5.83 MBO 82APP (-zshggml_nwhispewhispeal (type: 1, cnt:0)whisperzoacкene_ure-gpa.astпg месат васкепаggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init: use fusion= trueggml_metal_init: use concurrencytrueggml_metal_init: use graph optimizetruewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size=3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize=2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: computebuffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocatingwhisper_backend_init_gpu: device 0: Metal (type: 1)whisper_backend_init_gpu: found GPU device 0: Metal (type: 1, cnt: 0)whisper_backend_init_gpu: using Metal backendggml_metal_init: allocatingggml_metal_init: found device: Apple M1ggml_metal_init: picking default device: Apple M1ggml_metal_init:use fusion= trueggml_metal_init: use concurrency= trueggml_metal_init: use graph optimize = truewhisper_backend_init: using BLAS backendwhisper_init_state: kv self size3.15 MBwhisper_init_state: kv cross size =9.44 MBwhisper_init_state: kv padsize2.36 MBwhisper_init_state: compute buffer (conv)=whisper_init_state: compute buffer (encode) =whisper_init_state: compute buffer (cross)=whisper_init_state: compute buffer (decode) =14.17 MB65.96 MB8.50 MB96.83 MBggml_metal_free: deallocating2026-05-13T11:05:13.275375Z2026-05-13T11:05:13.482500Z2026-05-13T11:05:13.518261Z2026-05-13T11:06:32.259526ZINFO screenpipe_audio::audio_manager::manager: reconciliatiorINFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:INFO screenpipe_engine::event_driven_capture: content dedup:HomeDMsActivityFilesLater..•MorelablSupport Daily - in 3h 54 m100% <78•Wed 13 May11:06:34ED→Describe what you are looking forJiminny ...cnsmecruuis# general# jiminny-bg# platform-tickets# product_launches# random# releases# sofia-office# support# thank-yous# the_people_of_jimi...James Graham6 0Messages+• Direct messages2 James Graham. Nikolay Ivanov2o Stoyan Tanev®. Galya DimitrovaR. Steliyan GeorgievBe Petko Kashinski®. Aneliya Angelova8. Stefka StoyanovaVasil VasilevAneliya Angelova, ...Lukas Kovalik y... OAppsC FilesavailableTuesday, April 28th~• Organisauon nst anu Krosk metadata nowinclude partner_id / partner_nameShow moreComments1jiminny/app| Apr 14th| Added by GitHubI am working on the build issues now the code istestedLukas Kovalik 11:27 AMmorning, sure, I will see itLukas Kovalik 12:05 PMI approvedI though that they are on hubspotJames Graham 12:20 PMThey are but our interface for setting up demos isSalesforce, it uses our instanceToday~Lukas Kovalik 11:02 AMHey James, how are you?Still in Sozopol?Jira CloudMessage James GrahamToastGoogle Cale......
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FinderraVoliiE jiminny• AirDrop© Recents*Applicati FinderraVoliiE jiminny• AirDrop© Recents*Applications© Documents© Downloadsi lukas• iCloud Drive999 Snc toldeO DXP4800PLUS-B5F A® NetworkO CRM• Orange• Red• Yellow• Greeno Bue• Purple•All Taqs….Windowsuunacore meroclip (miput-c020-00-14-01-21-Totnp"e soundcore Aeroclip (input 2026-05-12 07-27-49.mp4D soundcore AeroClip (input)_2026-05-12_07-28-19.mp4soundcore AeroClip (input)_2026-05-12_07-28-49.mp4D soundcore AeroClip (input)_2026-05-12_07-29-19.mp40 soundcore AeroClio (inout) 2026-05-12 07-29-49.mo4D soundcore AeroClip (input)_2026-05-12_07-30-19.mp4• soundcore AeroClip (input)_2026-05-12_07-30-49.mp4e soundcore Aeroclip input2026-05-12_07-31-19.mp4soundcore AeroClip (input)_2026-05-12_07-31-49.mp4soundcore AeroClip (input)_2026-05-12_07-32-19.mp4• soundcore AeroClip (input)_2026-05-12_07-32-49.mp401 soundcore AeroClio (inout) 2026-05-12 07-33-18.mo4D soundcore AeroClipiput)_2026-05-12_07-33-48.mp4• soundcore AeroClip (input)_2026-05-12_07-34-18.mp40 soundcore AeroClip (input) 2026-05-12 07-34-48.mp4D soundcore AeroClip (input)_2026-05-12_07-35-18.mp4• soundcore AeroClip (input)_2026-05-12_07-35-48.mp4esoundcore AeroClip (input 2026-0b-12 0/-36-18.mp4el coundcore Aeroclin (innut) 2026-05-12 07.26-48.mn/(input)_2026-05-12_07-37-18.mp4• soundcore AeroClip (input)_2026-05-12_07-37-48.mp40 soundcore AeroClip (inout) 2026-05-12 07-38-18.mo4• soundcore AeroClip (input)_ 2026-05-12_07-38-48.mp4• soundcore Aeroclip (input 2026-05-12 07-39-48.mp4@ coundcore AeroClin (innut) 2026-05-12 07-40-18 mn4Open WithMove to BinGet Into•l coundcore AeroClin (innut)Compress "soundcore AeroClip (input)_2026-05-12_07-40-48.mp4*• sounacore Aeroclip (input•1 soundcore AeroClin inoutiMake AliasQuick Lookesoundcore Aeroclio inoutD soundcore AeroClip (input)CopyShare...sounacore Aeroclip (inputal soundcore AeroClin (inout)....Puick ActionsEncode Selected Video FilesNew iTerm2 Tab Hereesoundcore Aeroclip (inout)New 1lermz Window Here@l coundcore AeroClin (innut)D soundcore AeroClip (input)_2026-05-12_07-53-59.mp4• soundcore AeroClip (input)_2026-05-12_07-54-29.mр40l soundcore AeroClio (inout) 2026-05-12 07-54-59.mo4|a cnundhara MoroGlin finnutl 2006 06. 42 07.66,.20 mл/(input)_2026-05-12_07-55-58.mp4Group~ Q SearchShare Add TagsActionYesterday at 10.28Yesterday at 10:28resteraay al lU.4sYesterdav at 10:30Yesterday at 10:30Yesterday at 10:31Yesterday at 10:32Yesterday at 10:33Yesterdav at 10:3kYesterday at 10:34Yesterday at 10:34Yesterday at 10:35Yesterday at 10:36Yocterdav at 10:27Yesterday at 10:37Yesterday at 10:38Yesterday at 10:38Yesterday at 10:39Yesterday at 10:40Yocterdav at 10:40Yesterday at 10:41Yesterdav at 10:41Yesterday at 10:42Yesterday at 10:43Yecterdav at 10:14Yesterday at 10:45Yesterday at 10:45Yesterdav at 10:46Yesterday at 10:46Yesterdav at 10:48Yecterdav at 10:19Yesterday at 10:49Yesterday at 10:49Yesterdav at 10:50Yesterday at 10:50Yesterdav at 10:51Yoctorday at 10:52Yesterday at 10:52Yesterday at 10.03Yocterdav at 10:53Yesterday at 10:54Yesterdav at 10:55Vootordou ot 10.66LONG45 KBMPEG-4 movie24 KBMPEG-4 movie35 KB24 KBMPEG-4 movie17 K:MPEG-4 movie43 KB MPEG-4 movie36 KB21 KE18 KBMPEG-4 movieMPEG-4 movie41 KB36 KBMPEG-4 movie19 KВIMPEG-4 movie80 KB MPEG-4 movie83 KBMPEG-4 movie93 KВMPEG-4 movie72 KRMPEG-4 movie45 KB23 KBMPEG-4 movie22 K:34 KB19 KB17 KB40 KB25 KB32 KE15 KR14 KB15 KB28 K:MPEG-A movidMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movieMDEG-A movidMPEG-4 movieMPEG-4 movieASKRMPEG-4 movie68 KB15 KBMPEG-4 movie16 KRMDEG-A movie9 KBMPEG-4 movie37 KBMPEG-4 movie23 KEMPEG-4 movie7 KBMPEG-4 movie7 KB16 K:MPEG-4 movie.15 KRMDSG-A movie14 KBMPEG-4 movie11 KBMPEG-4 movie5 KEMPEG-A movie26 KBMPEG-4 movie10 KB12 KEMPEG-4 movie17 KRMDEG.A movio16 KB13 KBMP=G-4 movie18 KPMPEG-A movie9 KBMPEG-4 movie6 KB12 KEMPEG-4 movien0 vpMDEAA MAvin101 3 943 selected, 22.87 G8 availableFavouritesjiminny© Recents* Applications© Documents• Downloads1i lukasiCloud• iCloud Drive283 Sync folderO DXP4800PLUS-B5F A® Network• CRM• Orange• Red• Yellow• PurpleO All Tags...workv N 2026a Planning 2026-05-13.mp4Retro 2026-05-12.mp4=: Dailv 2026-05-12 mo4|E PLanhat Petko interest event 2026-05-11.mp4= Daily 2026-05-11.mp4Dailv 2026-05-08.mo4* 1-1 2026-05-07.mp4# Daily 2026-05-07.mp41 1-1 2026-04-24.mp4= Daily 2026-04-21 mnЛmm User Pilot introduction Adi 2026-04-23.mp4#N Daily 2026-04-23.mp4Dailv 2026-04-22.mo4*= Refinement 2026-04-06.mp4= Daily 2026-04-21.mp4Du Retinement 2026-04-20.mo4Daily 2026-04-20.mp4•z Daily 2026-04-17.mp4Ww Daily 2026-04-16.mp4E Dlannina 2026-04-15.mn/Retro 2026-04-14.mp4• Daily 2026-04-14.mp4User pilot (Adi) 2026-04-09.mp4- Daily 2026-04-09.mp4Daily 2026-04-07.mp4F Daily 2026-04-06 mn4Daily 2026-04-03.mp4es Planning 2026-04-01 & task split.mp4Daily 2026-03-31.mp4Refinement 2026-03-30.mp4Dallv 2026-03-30,mo4= Daily 2026-02-27 mn4- Daily 2026-03-24.mp4=. Refinement 2026-03-23.mn4- Daily 2026-03-23.mp4•* BE chapter 2026-03-20.mp4= Dailv 2026-03-20,mo4m Dlanina 2026-02-19-converted mn/• Refinment 2026-02-09-converted.mp4ER Daily 2026-03-19.mp4= Review 2026-03-18.mn4am Planing 2026-03-18.mp4Retro 2026-03-17.mp4= Dailv 2026-03-17 mo4aPofinament 2026.02.16 mn/- Daily 2026-03-16.mp4m Daily 2026-03-13.mp4Daily 2026-03-12.mp4Daily 2026-03-11.mp4= Dailv 2026-03-10.mo4x*: Refinement 2026-03-09.mo4$0hhdSupport Daily - in 3h 54m100% L2Wed 13 May 11:06:35vQ Searcmate wadmtiedToday at 10:53Yesterday at 17:36Yesterdav at 10:1311 May 2026 at 12:228 Mav 2026 at 10:227 May 2026 at 18:217 May 2026 at 10:1024 Apr 2026 at 14:4424 Apr 2026 at 10:1123 Apr 2026 at 10:3222 Aor 2026 at 10:2121 Apr 2026 at 11:0221 Apr 2026 at 10:0020 Aor 2026 at 16:5620 Apr 2026 at 10:0616 Apr 2026 at 10:0015 Anr 2026 at 11:1414 Apr 2026 at 17:3714 Apr 2026 at 10:09• Aor 2026 at 14:479 Apr 2026 at 10:078 Apr 2026 at 10:13/ Apr 2026 at 10:016 Anr 2026 at 10:093 Apr 2026 at 10:211 Apr 2026 at 12:2031 Mar 2026 at 18:2031 Mar 2026 at 10:1030 Mar 2026 at 10:0527 Mar 2026 at 10:0926 Mar 2026 at 9:5924 Mar 2026 at 10:0023 Mar 2026 at 17:0323 Mar 2026 at 10:0020 Mar 2026 at 11:4620 Mar 2026 at 10:0610 Mar 2026 at 12:0119 Mar 2026 at 11:3519 Mar 2026 at 9:5718 Mar 2026 at 16:2018 Mar 2026 at 11:1417 Mar 2026 at 17:4017 Mar 2026 at 10:1816 Mar 2026 at 16:5F16 Mar 2026 at 10:0213 Mar 2026 at 10:1212 Mar 2026 at 18:2512 Mar 2026 at 10:1010 Mar 2026 at 9:579 Mar 2026 at 17:041.03 GEMPEG-4 movie1.02 GBIMPEG-4 movie144,5 MBMPEG-4 movie491,3 MBMPEG-4 movie1.37 G:MPEG-4 movie1,55 GB MPEG-4 movie931,7 MB1,86 GEMPEG-4 movie9222 MRMPEG-4 movie724 MBMPEG-4 movie1,74 GBMPEG-4 movie1.36 G:MPEG-4 movie2,41 GBMPEG-4 movie567,8 MB4,25 G:MPEG-4 movie698,5 MBMPEG-4 movie1,16 GBMPEG-4 movie513,4 MBMPEG-4 movie2 75 GRMPEG-A movid1,44 GBMPEG-4 movie924,4 MBMPEG-4 movie362.6 M3748,8 MBMPEG-4 movie1,04 GB5/5,5 MBMPEG-4 movie720 5 MPMDEG-A movie1,02 GBMPEG-4 movie4,68 GBMPEG-4 movie3,4 G:MPEG-4 movie923,6 MBMPEG-4 movie2,77 GB641,8 MB88A2MP476,6 MB550,8 MBMPEG-4 movieMPEG-4 movieMPEG-4 movieMPEG-4 movie3.44 GP438.9 MBMPEG-4 movie1,68 GB430.4 M:MPEG-4 movie2 29 GPMDSG-A movie2,26 GBMPEG-4 movie386,3 MB705.8 MEMPEG.A movid2,78 GB MPEG-4 movie1,53 GB MPEG-4 movie1.2 GEMPEG-4 movie110 GpMDEG.A movid592,2 MBMPEG-4 movie1,02 GBMPEG-4 movie637 6 MPMPEG-A movie978,7 MB MPEG-4 movie798,7 MB404.6 MEMAGCPMPEG-4 movieMDEeA MAvid1 of 157 selected. 1.93 TB available...
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Screenpipe — Archive
Screenpipe — Archive
All docs Screenpipe — Archive
Screenpipe — Archive
All docs · AFFiNE
All docs · AFFiNE
DXP4800PLUS-B5F8
DXP4800PLUS-B5F8
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Screenpipe — Archive
Screenpipe — Archive
SQLite Web: archive.db
SQLite Web: archive.db
SQLite Web: db.sqlite
SQLite Web: db.sqlite
Claude
Claude
Manage extra usage for paid Claude plans | Claude Help Center
Manage extra usage for paid Claude plans | Claude Help Center
2 TB in 25 MB/s - Google Search
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
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I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Diarization:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"As it transcribes the text, the engine also performs \"diarization\"—a technical term for speaker identification.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Storage:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The final transcribed text is then indexed into a local","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"SQLite database","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":". This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"3. The \"Work in Progress\" (WIP) Stage","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3. The \"Work in Progress\" (WIP) Stage","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"There is a slight bottleneck between","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"hearing","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the audio and","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"saving","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"the text, which acts as the WIP stage:","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Buffering:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Processing Queue:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Finalization:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"4. Understanding the Folder Structure","depth":26,"on_screen":true,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"4. Understanding the Folder Structure","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"~/.screenpipe","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The SQLite Database (","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"):","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is \"done.\"","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"or","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"folders:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Temp Files:","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"If you see rapidly changing files, temporary","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"chunks, or locked database journals (like","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.","depth":29,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?","depth":27,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Sources","depth":26,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Sources","depth":28,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Good response","depth":23,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXCheckBox","text":"Bad response","depth":23,"on_screen":true,"help_text":"","role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Redo","depth":23,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Share and export","depth":22,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Copy","depth":23,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Show more options","depth":22,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXTextArea","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4","depth":20,"on_screen":true,"value":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4","help_text":"","role_description":"text entry area","subrole":"AXUnknown","is_enabled":true,"is_focused":true,"is_selected":false},{"role":"AXStaticText","text":"I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4","depth":22,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Open upload file menu","depth":20,"on_screen":true,"role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Tools","depth":18,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false,"is_expanded":false},{"role":"AXButton","text":"Open mode picker","depth":20,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Pro","depth":23,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXCheckBox","text":"Microphone","depth":19,"on_screen":true,"role_description":"toggle button","subrole":"AXToggle","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXButton","text":"Send message","depth":19,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Gemini is AI and can make mistakes, including about people.","depth":17,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"Your privacy and Gemini Opens in a new window","depth":17,"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Your privacy and Gemini","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Opens in a new window","depth":19,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Summarize page","depth":7,"on_screen":true,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Summarize page","depth":9,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":18,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"7.5","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"KB/s","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"5.4","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"KB/s","depth":16,"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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Manage extra usage for paid Claude plans | Claude Help Center
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Google Account: Lukáš Koválik ([EMAIL])
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
Bad response
Redo
Share and export
Copy
Show more options
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
Open upload file menu
Tools
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Pro
Microphone
Send message
Gemini is AI and can make mistakes, including about people.
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Your privacy and Gemini
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Summarize page
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30884
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1218
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2026-05-13T08:06:38.490559+00:00
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659598490_m2.jpg...
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Screenpipe — Archive
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SQLite Web: archive.db
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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New Tab
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Close Google Gemini (⌃X)
Open history (⇧⌘H)
Open bookmarks (⌘B)
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AI Chat settings
Close
Google Account: Lukáš Koválik ([EMAIL])
Main menu
New chat
Gemini
New chat
Share conversation
Open menu for conversation actions.
Conversation with Gemini
Conversation with Gemini
Copy prompt
Edit
You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
Listen
Show thinking
Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
Sources
Sources
Good response
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Redo
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I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
Open upload file menu
Tools
Open mode picker
Pro
Microphone
Send message
Gemini is AI and can make mistakes, including about people.
Your privacy and Gemini Opens in a new window
Your privacy and Gemini
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Summarize page
Summarize page
7.5
KB/s
5.4
KB/s
Files
Control Panel
Storage
App Center
Logs
Support
Task Manager
Music
Cloud Drives
Theater
Photos
Online Office
TextEdit
Virtual Machine
Downloads
DLNA
File Version Explorer
Security
Jellyfin-HT
SAN Manager
Vault
Snapshot
Comics
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UGREEN AI
Recycle Bin
Control Panel
Search
Connection & Access
User Management
File Service
Device Connection
Domain/LDAP
Terminal
General
Hardware & Power
Time & Language
Network
Security
Indexing Service
Service
About
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Telnet
Enable
Enable
Port
23
Advanced settings
SSH
Enable
Enable
Port
22
Shut down automatically
1h later
2026-05-13 10:40 will automatically shut down
Advanced settings
Function description
Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
auto block
auto block
to enhance system security.
Apply
Storage
Overview
Storage
Hard Drive
External Storage
Storage pool & Volume
Data organizing
Advanced settings
Create
Create
Storage Pool 1
Description
Normal
RAID 1
Hard Drive 1、2
5.4TB
Volume 1
Description
Normal
Btrfs
5.4TB
Used: 3.6TB
Storage Pool 2
Description
Normal
Basic
M.2 Hard Drive 2
916.1GB
Volume 2
Description
Normal
Btrfs
916.1GB
Used: 217.8GB
Volume usage
Used: 3.6TB/5.4TB
Available 1.7TB
Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
User Folder
129.6GB
Shared Folder
3.4TB
Snapshot
--
Exclusive(Exclusive)
0B
Shared(Shared)
0B
LUN
100GB
Others
100.3GB
Shared folder name
Creation time
Occupied volume
Google
2025-08-31
319.5GB
Marti
2025-06-02
10.3GB
Media
2025-09-27
273.6GB
Movies
2025-05-30
2.1TB
Music
2025-06-08
1014MB
Test
2025-05-29
234.3GB
Work
2025-05-31
233.1GB
Youtube
2025-12-07
1GB
ebooks
2025-06-14
7.7GB
screenpipe
2026-04-11
118.9GB
Files
Personal Folder
Shared Folder
User Folder
External Device
External Storage 1
Tag...
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How can I see from the folder structure what has been done and what hasn't been done?","depth":23,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"Listen","depth":24,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Show thinking","depth":28,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"Gemini said","depth":23,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Gemini said","depth":24,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ScreenPipe is fundamentally designed to be a","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100% local, privacy-first","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":27,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXHeading","text":"1. Where It Starts: The Capture Layer","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1. Where It Starts: The Capture Layer","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"System Audio:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Microphone Input:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Everything you say into your mic.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXButton","text":"View source details. Opens side panel.","depth":29,"on_screen":false,"help_text":"","role_description":"button","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXHeading","text":"2. How It Gets Transferred and Transcribed","depth":26,"on_screen":false,"help_text":"","role_description":"heading","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2. How It Gets Transferred and Transcribed","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Because ScreenPipe prioritizes local processing, the \"transfer\" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Here is the transcription pipeline:","depth":27,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The Engine:","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"The raw audio chunks are fed into a local speech-to-text model.","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"By default, ScreenPipe uses","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"OpenAI Whisper","depth":29,"on_screen":false,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"running locally on your hardware. 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1.7TB","depth":19,"bounds":{"left":0.6136968,"top":0.4828412,"width":0.032579787,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it","depth":19,"bounds":{"left":0.46542552,"top":0.5027933,"width":0.17170878,"height":0.025538707},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"User Folder","depth":20,"bounds":{"left":0.46542552,"top":0.5714286,"width":0.024268618,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"129.6GB","depth":20,"bounds":{"left":0.62732714,"top":0.5714286,"width":0.018284574,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Shared Folder","depth":20,"bounds":{"left":0.46542552,"top":0.60335195,"width":0.029421542,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"3.4TB","depth":20,"bounds":{"left":0.633145,"top":0.60335195,"width":0.012466756,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Snapshot","depth":20,"bounds":{"left":0.46542552,"top":0.63527536,"width":0.019614361,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":21,"bounds":{"left":0.48636967,"top":0.63567436,"width":0.004654255,"height":0.011572227},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"--","depth":20,"bounds":{"left":0.64245343,"top":0.63527536,"width":0.0031582448,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Exclusive(Exclusive)","depth":20,"bounds":{"left":0.46542552,"top":0.66280925,"width":0.036402926,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"0B","depth":20,"bounds":{"left":0.64079124,"top":0.66201115,"width":0.0048204786,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Shared(Shared)","depth":20,"bounds":{"left":0.46542552,"top":0.68595374,"width":0.028424202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"0B","depth":20,"bounds":{"left":0.64079124,"top":0.68515563,"width":0.0048204786,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"LUN","depth":20,"bounds":{"left":0.46542552,"top":0.7118915,"width":0.00930851,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100GB","depth":20,"bounds":{"left":0.63115025,"top":0.7118915,"width":0.014461436,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Others","depth":20,"bounds":{"left":0.46542552,"top":0.7438148,"width":0.013962766,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":23,"bounds":{"left":0.48071808,"top":0.7442139,"width":0.004654255,"height":0.011572227},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"100.3GB","depth":20,"bounds":{"left":0.62732714,"top":0.7438148,"width":0.018284574,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Shared folder name","depth":25,"bounds":{"left":0.47207448,"top":0.77893054,"width":0.04338431,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Creation time","depth":25,"bounds":{"left":0.5525266,"top":0.77893054,"width":0.029753989,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Occupied volume","depth":25,"bounds":{"left":0.60671544,"top":0.77055067,"width":0.021276595,"height":0.02952913},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Google","depth":24,"bounds":{"left":0.47207448,"top":0.594573,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-08-31","depth":24,"bounds":{"left":0.5525266,"top":0.594573,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"319.5GB","depth":24,"bounds":{"left":0.60671544,"top":0.594573,"width":0.017952127,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Marti","depth":24,"bounds":{"left":0.47207448,"top":0.6328811,"width":0.00880984,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-06-02","depth":24,"bounds":{"left":0.5525266,"top":0.6328811,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"10.3GB","depth":24,"bounds":{"left":0.60671544,"top":0.6328811,"width":0.015791224,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Media","depth":24,"bounds":{"left":0.47207448,"top":0.6711891,"width":0.010804521,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-09-27","depth":24,"bounds":{"left":0.5525266,"top":0.6711891,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"273.6GB","depth":24,"bounds":{"left":0.60671544,"top":0.6711891,"width":0.017952127,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Movies","depth":24,"bounds":{"left":0.47207448,"top":0.7094972,"width":0.012632979,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-05-30","depth":24,"bounds":{"left":0.5525266,"top":0.7094972,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2.1TB","depth":24,"bounds":{"left":0.60671544,"top":0.7094972,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Music","depth":24,"bounds":{"left":0.47207448,"top":0.74780524,"width":0.010472074,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-06-08","depth":24,"bounds":{"left":0.5525266,"top":0.74780524,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1014MB","depth":24,"bounds":{"left":0.60671544,"top":0.74780524,"width":0.017121011,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Test","depth":24,"bounds":{"left":0.47207448,"top":0.7861133,"width":0.00731383,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-05-29","depth":24,"bounds":{"left":0.5525266,"top":0.7861133,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"234.3GB","depth":24,"bounds":{"left":0.60671544,"top":0.7861133,"width":0.017952127,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Work","depth":24,"bounds":{"left":0.47207448,"top":0.8244214,"width":0.00930851,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-05-31","depth":24,"bounds":{"left":0.5525266,"top":0.8244214,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"233.1GB","depth":24,"bounds":{"left":0.60671544,"top":0.8244214,"width":0.017952127,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Youtube","depth":24,"bounds":{"left":0.47207448,"top":0.86272943,"width":0.014461436,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-12-07","depth":24,"bounds":{"left":0.5525266,"top":0.86272943,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"1GB","depth":24,"bounds":{"left":0.60671544,"top":0.86272943,"width":0.010139627,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"ebooks","depth":24,"bounds":{"left":0.47207448,"top":0.9010375,"width":0.012799202,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2025-06-14","depth":24,"bounds":{"left":0.5525266,"top":0.9010375,"width":0.02044548,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"7.7GB","depth":24,"bounds":{"left":0.60671544,"top":0.9010375,"width":0.013464096,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"screenpipe","depth":24,"bounds":{"left":0.47207448,"top":0.9393456,"width":0.019448139,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"2026-04-11","depth":24,"bounds":{"left":0.5525266,"top":0.9393456,"width":0.020113032,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"118.9GB","depth":24,"bounds":{"left":0.60671544,"top":0.9393456,"width":0.01761968,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXLink","text":"","depth":13,"bounds":{"left":0.741855,"top":0.16360734,"width":0.007978723,"height":0.01915403},"on_screen":true,"help_text":"","role_description":"link","subrole":"AXUnknown","is_enabled":true,"is_focused":false,"is_selected":false},{"role":"AXStaticText","text":"","depth":14,"bounds":{"left":0.74318486,"top":0.16679968,"width":0.005319149,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Files","depth":19,"bounds":{"left":0.55701464,"top":0.16759777,"width":0.008976064,"height":0.011173184},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.3671875,"top":0.19952115,"width":0.0034906915,"height":0.007980846},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Personal Folder","depth":24,"bounds":{"left":0.37317154,"top":0.1971269,"width":0.037732713,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.3671875,"top":0.22825219,"width":0.0034906915,"height":0.007980846},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Shared Folder","depth":24,"bounds":{"left":0.37317154,"top":0.22585794,"width":0.033909574,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.3671875,"top":0.25698325,"width":0.0034906915,"height":0.007980846},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"User Folder","depth":24,"bounds":{"left":0.37317154,"top":0.254589,"width":0.028424202,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.3671875,"top":0.2857143,"width":0.0033244682,"height":0.008379889},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"External Device","depth":24,"bounds":{"left":0.37317154,"top":0.28332004,"width":0.03723404,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.36918217,"top":0.31444532,"width":0.0034906915,"height":0.007980846},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"External Storage 1","depth":24,"bounds":{"left":0.38314494,"top":0.3120511,"width":0.04105718,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"","depth":24,"bounds":{"left":0.3671875,"top":0.34317636,"width":0.0034906915,"height":0.007980846},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"},{"role":"AXStaticText","text":"Tag","depth":24,"bounds":{"left":0.37317154,"top":0.34078214,"width":0.010472074,"height":0.012769354},"on_screen":true,"help_text":"","role_description":"text","subrole":"AXUnknown"}]...
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visual_change
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accessibility
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Screenpipe — Archive
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SQLite Web: archive.db
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SQLite Web: db.sqlite
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Claude
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Manage extra usage for paid Claude plans | Claude Help Center
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2 TB in 25 MB/s - Google Search
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You said Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
You said
Exaplin me: how does the ScreenPipe audio recording work? Where did it start? How is it getting transferred and transcribed? Is there some work in progress stage? How can I see from the folder structure what has been done and what hasn't been done?
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Gemini said
Gemini said
Here is a breakdown of how ScreenPipe handles audio recording, from the moment it captures sound to how it organizes the data on your machine.
ScreenPipe is fundamentally designed to be a
100% local, privacy-first
application, meaning the vast majority of its processing happens directly on your hardware without relying on the cloud.
View source details. Opens side panel.
1. Where It Starts: The Capture Layer
1. Where It Starts: The Capture Layer
The process begins locally by tapping directly into your operating system’s audio routing. ScreenPipe simultaneously captures two separate audio streams:
System Audio:
Everything your computer outputs (e.g., the voices of other people in a Zoom or Teams meeting, a YouTube video, or Spotify).
Microphone Input:
Everything you say into your mic.
View source details. Opens side panel.
Because ScreenPipe acts as a 24/7 background process, it continuously listens to these streams and breaks the continuous audio into manageable chunks to prepare them for the next stage.
2. How It Gets Transferred and Transcribed
2. How It Gets Transferred and Transcribed
Because ScreenPipe prioritizes local processing, the "transfer" step is incredibly short. The audio data never leaves your machine unless you explicitly set up a cloud plugin.
Here is the transcription pipeline:
The Engine:
The raw audio chunks are fed into a local speech-to-text model.
By default, ScreenPipe uses
OpenAI Whisper
running locally on your hardware. (Users can also configure it to use cloud providers like Deepgram if they need faster processing, but local Whisper is the standard).
View source details. Opens side panel.
Diarization:
As it transcribes the text, the engine also performs "diarization"—a technical term for speaker identification.
It analyzes the audio to distinguish between your voice and the voices of others, labeling who said what.
View source details. Opens side panel.
Storage:
The final transcribed text is then indexed into a local
SQLite database
. This database uses Full-Text Search (FTS5), which is what allows you to instantly search for a phrase you heard in a meeting three weeks ago.
3. The "Work in Progress" (WIP) Stage
3. The "Work in Progress" (WIP) Stage
There is a slight bottleneck between
hearing
the audio and
saving
the text, which acts as the WIP stage:
Buffering:
Audio is recorded into a temporary buffer in your system's RAM or written as temporary chunk files on your disk.
Processing Queue:
Whisper requires CPU/GPU resources to transcribe. If you are having a rapid, multi-person conversation, the raw audio chunks line up in a processing queue.
Finalization:
Once the AI finishes transcribing a chunk, the text is committed to the SQLite database alongside a timestamp, and the raw audio is compressed and saved so you can play it back later.
4. Understanding the Folder Structure
4. Understanding the Folder Structure
All of ScreenPipe's data lives locally on your machine (usually in a hidden directory like
~/.screenpipe
on Mac/Linux or in your AppData folder on Windows). You can determine what has been processed by looking at a few key areas in this directory:
The SQLite Database (
):
This is the master ledger. If text exists inside this database, it means the audio has been fully transcribed, diarized, and is "done."
The
or
folders:
This is where the compressed, raw audio files and JPEG screenshots are stored permanently. Think of this as the raw archive.
Temp Files:
If you see rapidly changing files, temporary
chunks, or locked database journals (like
), this indicates the system is actively processing a backlog of audio (the WIP stage). Once the engine catches up, these temporary chunk files are usually cleared out or moved to permanent storage, and the database updates.
Are you setting up ScreenPipe for a specific workflow (like summarizing meetings or tracking your daily tasks), or just exploring how the architecture works under the hood?
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I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
I see the files in ~/.screenpipe/data/ as LakyLak bose qc35 II (input)_2026-05-12_06-49-17.mp4 or MacBook Pro Microphone (input)_2026-05-12_12-17-23.mp4
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7.5
KB/s
5.4
KB/s
Files
Control Panel
Storage
App Center
Logs
Support
Task Manager
Music
Cloud Drives
Theater
Photos
Online Office
TextEdit
Virtual Machine
Downloads
DLNA
File Version Explorer
Security
Jellyfin-HT
SAN Manager
Vault
Snapshot
Comics
Sync & Backup
UGREEN AI
Recycle Bin
Control Panel
Search
Connection & Access
User Management
File Service
Device Connection
Domain/LDAP
Terminal
General
Hardware & Power
Time & Language
Network
Security
Indexing Service
Service
About
Update & Restore
Telnet
Enable
Enable
Port
23
Advanced settings
SSH
Enable
Enable
Port
22
Shut down automatically
1h later
2026-05-13 10:40 will automatically shut down
Advanced settings
Function description
Use a terminal to log in and manage your system. When enabling this function, it is recommended to set a strong password for the login account and enable
auto block
auto block
to enhance system security.
Apply
Storage
Overview
Storage
Hard Drive
External Storage
Storage pool & Volume
Data organizing
Advanced settings
Create
Create
Storage Pool 1
Description
Normal
RAID 1
Hard Drive 1、2
5.4TB
Volume 1
Description
Normal
Btrfs
5.4TB
Used: 3.6TB
Storage Pool 2
Description
Normal
Basic
M.2 Hard Drive 2
916.1GB
Volume 2
Description
Normal
Btrfs
916.1GB
Used: 217.8GB
Volume usage
Used: 3.6TB/5.4TB
Available 1.7TB
Due to its deduplication and data deletion features, the Btrfs file system may occupy less physical space than the total size of the files stored in it
User Folder
129.6GB
Shared Folder
3.4TB
Snapshot
--
Exclusive(Exclusive)
0B
Shared(Shared)
0B
LUN
100GB
Others
100.3GB
Shared folder name
Creation time
Occupied volume
Google
2025-08-31
319.5GB
Marti
2025-06-02
10.3GB
Media
2025-09-27
273.6GB
Movies
2025-05-30
2.1TB
Music
2025-06-08
1014MB
Test
2025-05-29
234.3GB
Work
2025-05-31
233.1GB
Youtube
2025-12-07
1GB
ebooks
2025-06-14
7.7GB
screenpipe
2026-04-11
118.9GB
Files
Personal Folder
Shared Folder
User Folder
External Device
External Storage 1
Tag...
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30885
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/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659602971_m1.jpg...
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Finder
|
data
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1
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NULL
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monitor_1
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NULL
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NULL
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NULL
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NULL
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Favourites
jiminny
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Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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app_switch
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accessibility
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NULL
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Applications
Do Favourites
jiminny
AirDrop
Recents
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lukas
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iCloud Drive
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DXP4800PLUS-B5F
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All Tags…
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NULL
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30886
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1218
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Finder
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data
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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NULL
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Favourites
jiminny
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Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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7474212963774787216
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app_switch
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accessibility
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data...
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NULL
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NULL
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30887
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1218
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2026-05-13T08:06:44.554487+00:00
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Finder
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data
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1
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NULL
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monitor_2
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NULL
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NULL
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NULL
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Favourites
jiminny
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Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
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CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,5 GB...
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visual_change
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accessibility
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NULL
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,5 GB...
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30886
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NULL
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30888
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1217
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2026-05-13T08:06:46.295027+00:00
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|
Finder
|
data
|
1
|
NULL
|
monitor_1
|
NULL
|
NULL
|
NULL
|
NULL
|
Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,5 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46...
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6652522386924010792
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click
|
accessibility
|
NULL
|
Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,5 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB
MPEG-4 movie
LakyLak bose qc35 II (input)_2026-05-11_06-45-56.mp4
11 May 2026 at 9:46...
|
30885
|
NULL
|
NULL
|
NULL
|
|
30889
|
1218
|
32
|
2026-05-13T08:06:46.316647+00:00
|
/Users/lukas/.screenpipe/data/data/2026-05-13/1778 /Users/lukas/.screenpipe/data/data/2026-05-13/1778659606316_m2.jpg...
|
Finder
|
data
|
1
|
NULL
|
monitor_2
|
NULL
|
NULL
|
NULL
|
NULL
|
Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…...
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Recents
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Yellow
Green
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data
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Favourites
jiminny
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Recents
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AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
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Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,5 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB...
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click
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Favourites
jiminny
AirDrop
Recents
Applications
Do Favourites
jiminny
AirDrop
Recents
Applications
Documents
Downloads
lukas
iCloud
iCloud Drive
Sync folder
Locations
DXP4800PLUS-B5F
Eject
Network
Tags
CRM
Orange
Red
Yellow
Green
Blue
Purple
All Tags…
data
Today at 9:16
1,5 GB
Folder
LakyLak bose qc35 II (input)_2026-05-11_06-45-25.mp4
11 May 2026 at 9:45
5 KB...
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