Josh Knapp
48fe41b064
- Implement faster-whisper TranscribeService with word-level timestamps, progress reporting, and hardware auto-detection - Wire up Rust SidecarManager for Python process lifecycle (spawn, IPC, shutdown) - Add transcribe_file Tauri command bridging frontend to Python sidecar - Integrate wavesurfer.js WaveformPlayer with play/pause, skip, seek controls - Build TranscriptEditor with word-level click-to-seek and active highlighting - Connect file import flow: prompt → asset load → transcribe → display - Add typed tauri-bridge service with TranscriptionResult interface - Add Python tests for hardware detection and transcription result formatting 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