Josh Knapp
44480906a4
- Implement DiarizeService with pyannote.audio speaker detection - Build PipelineService combining transcribe → diarize → merge with overlap-based speaker assignment per segment - Add pipeline.start and diarize.start IPC handlers - Add run_pipeline Tauri command for full pipeline execution - Wire frontend to use pipeline: speakers auto-created with colors, segments assigned to detected speakers - Build SpeakerManager with rename support (double-click or edit button) - Add speaker color coding throughout transcript display - Add pyannote.audio dependency - Tests: 24 Python (including merge logic), 6 Rust, 0 Svelte errors 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