Move completed Dify audio transcription proposal to archive and update transcription spec with new capabilities. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
29 lines
1.6 KiB
Markdown
29 lines
1.6 KiB
Markdown
# Change: Add Dify Audio Transcription for Uploaded Files
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## Why
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Users need to transcribe pre-recorded audio files (e.g., meeting recordings from external sources). Currently, transcription only works with real-time recording via the local sidecar. Adding Dify-based transcription for uploaded files provides flexibility while keeping real-time transcription local for low latency.
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## What Changes
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- Add audio file upload UI in Electron client (meeting detail page)
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- Add `segment_audio` command to sidecar for VAD-based audio chunking
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- Add backend API endpoint to receive audio files, chunk via sidecar, and forward to Dify STT service
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- Each chunk (~5 minutes max) sent to Dify separately, results concatenated
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- Transcription result replaces the transcript field (same as real-time transcription)
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- Support common audio formats: MP3, WAV, M4A, WebM, OGG
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## Impact
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- Affected specs: `transcription`
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- Affected code:
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- `sidecar/transcriber.py` - Add `segment_audio` action for VAD chunking
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- `client/src/pages/meeting-detail.html` - Add upload button and progress UI
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- `backend/app/routers/ai.py` - Add `/api/ai/transcribe-audio` endpoint
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- `backend/app/config.py` - Add Dify STT API key configuration
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## Technical Notes
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- Dify STT API Key: `app-xQeSipaQecs0cuKeLvYDaRsu`
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- Real-time transcription continues to use local sidecar (no change)
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- File upload transcription uses Dify cloud service with VAD chunking
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- VAD chunking ensures each chunk < 25MB (Dify API limit)
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- Max file size: 500MB (chunked processing handles large files)
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- Both methods output to the same transcript_blob field
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