Transcription

How transcription works

MeetingDebrief uses OpenAI's Whisper speech recognition model running locally on your device. No audio data leaves your computer. The model converts spoken audio into timestamped text segments.

Whisper models

Several Whisper model sizes are available. Larger models produce more accurate results but require more memory and processing time:

• Tiny: fastest, lowest accuracy. Suitable for quick drafts or low-resource machines.
• Base: good balance of speed and accuracy for most hardware.
• Small: higher accuracy, moderate resource usage.
• Medium: high accuracy, requires more memory.
• Large: highest accuracy, requires significant memory and processing power.

Select your preferred model in Settings. You can download multiple models and switch between them.

Automatic and manual transcription

When auto-transcribe is enabled in Settings, transcription starts automatically after a recording stops. Otherwise, open the session and click the transcribe button to start manually.

Key moment detection

MeetingDebrief uses local AI models to detect decisions, action items, and important discussion points in your conversation. Key moments are highlighted in the transcript for quick review. Detection runs as part of the transcription process.

Timestamps

Each segment of the transcript includes a timestamp showing when it was spoken. Timestamps help you locate specific parts of the conversation and correlate the transcript with the audio recording.

Re-transcribing

If you switch to a different Whisper model or want to regenerate the transcript, open the session and click Re-transcribe. This replaces the existing transcript with a new one generated by the currently selected model.

Copying the transcript

Click the copy button in the transcript view to copy the full transcript to your clipboard. The copied text includes timestamps and key moment markers.