Josh Knapp 67ed69df00 Stream transcript segments to frontend as they are transcribed
Send each segment to the frontend immediately after transcription via
a new pipeline.segment IPC message, then send speaker assignments as a
batch pipeline.speaker_update message after diarization completes. This
lets the UI display segments progressively instead of waiting for the
entire pipeline to finish.

Changes:
- Add partial_segment_message and speaker_update_message IPC factories
- Add on_segment callback parameter to TranscribeService.transcribe()
- Emit partial segments and speaker updates from PipelineService.run()
- Add send_and_receive_with_progress to SidecarManager (Rust)
- Route pipeline.segment/speaker_update events in run_pipeline command
- Listen for streaming events in Svelte frontend (+page.svelte)
- Add tests for new message types, callback signature, and update logic

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-20 13:47:57 -07:00

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

Description
Convert recorded audio to text with speaker identifying and text to audio scrubbing
Readme MIT 1.1 MiB
2026-03-24 02:04:26 +00:00
Languages
Python 36.6%
Svelte 30.3%
Rust 29.6%
TypeScript 2.2%
Shell 0.5%
Other 0.8%