03af5a189cbeb1ab876031fa399159beb29f59f7
Move the blocking pipeline() call to a daemon thread and emit estimated progress messages every 2 seconds from the main thread. The progress estimate uses audio duration to calibrate the expected total time. Also pass audio_duration_sec from PipelineService to DiarizeService. Co-Authored-By: Claude Opus 4.6 (1M context) <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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Python
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Rust
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TypeScript
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Shell
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Other
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