AI Meeting Transcription
Records meetings, transcribes speech, and identifies speakers with fully local processing on your own hardware — no data is sent to external services, ensuring complete confidentiality.
Key facts
Processing mode
Fully local transcription on your hardware, with no data sent to external services.
Languages and speakers
50+ languages, automatic language detection, and speaker diarization.
Outputs
Transcript, summary, action items, and quick jump-to-timestamp navigation.
Platforms
Desktop app for macOS and Windows, with Linux in beta.
FAQ
Yes, local transcription works offline; internet is only needed for optional external LLM usage.
System audio and microphone can be captured simultaneously for transcription.
It depends on hardware and recording length, typically available right after processing.
In local mode, data stays inside your infrastructure and is not sent to external APIs.
Limitations and when it may not fit
On low-spec hardware, transcription speed can be slower than real-time.
Recognition quality decreases when source audio quality is poor.
Domain-specific terminology may require custom vocabulary and model tuning.
Desktop application
Download the app
Install the app for your OS and start recording meetings in minutes.
Local transcription and privacy
Audio is processed locally on your device without sending data to external services. Recordings and transcripts stay within your infrastructure.
The problem: you forget 80% of what was discussed
Manual note-taking distracts from the conversation. An hour after the call, context starts fading. Teams spend hours writing follow-up emails and recounting decisions.
Decisions get lost in chat threads and never make it into the company knowledge base — every meeting starts from scratch.
How it works
Recording
The app captures system audio and microphone in high quality. One click — and recording begins.
Transcription
Whisper instantly converts speech to text with 50+ language support. Automatically identifies speakers.
AI Analysis
LLM extracts key decisions, creates a structured summary, and generates a task list with assignees.
Knowledge base
All meetings are saved with full-text search. Click any phrase to jump to that moment in the recording.
Example output
[00:12] Speaker 1: We need to update the homepage design by next Tuesday...
[00:45] Speaker 2: Agreed. I'll prepare Figma prototypes by Friday evening.
[01:20] Speaker 1: Great. Don't forget about the mobile version too.
✅ Homepage design — update UI by October 14.
✅ Figma prototypes — assignee: Speaker 2. Deadline: Friday.
✅ Mobile version — include in the current sprint as a priority.
Features
Recording
System audio + microphone in high quality (WAV/MP3). Runs in the background.
50+ languages
Automatic language detection and speaker diarization.
AI Summary
Key decisions, insights, and action items with assignees — automatically.
Local LLM
Ollama integration for local processing. Your data never leaves your machine.
Meeting history
Full-text search across all past meetings with jump-to-timestamp navigation.
Quick navigation
Click any phrase in the transcript — the player jumps right to that moment.
Platforms
Desktop app for macOS M1/M2/M3, Windows 10/11, and Linux (Beta). Works offline — internet is only needed for cloud LLM models.
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