585411f40268934b1ab38089a7f6ac910f82f482
- Convert non-WAV audio to 16kHz mono WAV before diarization (pyannote v4.0.4 AudioDecoder returns None duration for FLAC, causing crash) - Handle pyannote 4.0 DiarizeOutput return type (unwrap .speaker_diarization) - Disable pyannote telemetry (np.isfinite(None) bug with max_speakers) - Use huggingface_hub.login() to persist token for all sub-downloads - Pre-download sub-models (segmentation-3.0, speaker-diarization-community-1) - Add third required model license link in settings UI - Improve SpeakerManager hints based on settings state - Add word-wrap to transcript text Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Voice to Notes
A desktop application that transcribes audio/video recordings with speaker identification, producing editable transcriptions with synchronized audio playback.
Goals
- Speech-to-Text Transcription — Accurately convert spoken audio from recordings into text
- Speaker Identification (Diarization) — Detect and distinguish between different speakers in a conversation
- Speaker Naming — Assign and persist speaker names/IDs across the transcription
- Synchronized Playback — Click any transcribed text segment to play back the corresponding audio for review and correction
- Export Formats
- Closed captioning files (SRT, VTT) for video
- Plain text documents with speaker labels
- AI Integration — Connect to AI providers to ask questions about the conversation and generate condensed notes/summaries
Platform Support
| Platform | Status |
|---|---|
| Linux | Planned (initial target) |
| Windows | Planned (initial target) |
| macOS | Future (pending hardware) |
Project Status
Early planning phase — Architecture and technology decisions in progress.
License
MIT
Releases
10
Voice to Notes v0.2.46
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Languages
Python
36.6%
Svelte
30.3%
Rust
29.6%
TypeScript
2.2%
Shell
0.5%
Other
0.8%