An open-source macOS app that captures and transcribes audio from your microphone and meeting applications (Zoom, Teams, Chrome) in real-time, with cross-session speaker recognition.
Uses voice embeddings to remember speakers across sessions - name someone "Bob" once, and the app recognizes them automatically in future recordings.
Built with Swift, SwiftUI, and FluidAudio. All data stays local on your Mac.
- 🎤 Real-time Transcription: Transcribe audio as you speak with minimal latency
- 👥 Speaker Diarization: Automatically identify and separate different speakers
- 🔄 Cross-Session Recognition: Speakers persist across all recordings with voice embeddings
- 📝 Editable Transcripts: Click any segment to edit transcription text inline
- ✏️ Speaker Management: Rename speakers (e.g., "Speaker 1" → "Bob") with pencil icon
- 💾 Persistent Storage: All recordings saved locally with SwiftData
- 🔍 Per-Process Capture: Isolate audio from specific applications (Zoom, Teams, Chrome)
- Meeting Notes: Automatically transcribe Zoom/Teams meetings with speaker identification
- Interviews: Record and transcribe interviews with automatic speaker separation
- Podcasts: Transcribe podcast recordings with persistent guest recognition across episodes
- Lectures: Capture classroom discussions with speaker attribution
- Research: Qualitative research interviews with cross-session participant tracking
- Accessibility: Real-time captions for audio content
- OS: macOS 14.0+ or newer
- XCode: Version 16.0 or newer
- Permissions: Microphone access and Screen Recording access
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Clone the repository:
git clone https://github.com/Steven-Weng/SamScribe cd SamScribe -
Open in Xcode:
open SamScribe.xcodeproj
- Start Recording: Click "Start Transcribing" button in the toolbar
- Grant Permissions: Allow microphone and screen recording access when prompted
- Speak or Join Meeting: Audio is captured and transcribed in real-time
- View Transcripts: Transcription appears in the main detail view as you speak
- Edit Speakers: Click the pencil icon next to any speaker name to rename them
- Edit Text: Click any transcript segment to edit the text inline
- Stop Recording: Click "Stop Transcribing" when finished
- Speakers are automatically detected and numbered (Speaker 1, Speaker 2, etc.)
- Click the pencil icon to rename speakers (e.g., "Bob", "Alice")
- Renamed speakers are remembered across all future recordings
- Voice embeddings enable automatic recognition with 0.65 similarity threshold
- "No Speaker" segments (background noise) don't have edit icons
- Click any segment to enter edit mode
- Make changes in the text editor
- Click "Save" to persist changes or "Cancel" to discard
- Click "..." menu for additional options (Delete)
- Recordings appear in the sidebar grouped by date (Today, Yesterday, This Week, etc.)
- Right-click any recording for options (Rename, Delete)
- Click a recording to view its transcript
- Active recordings show real-time elapsed timer
This project is licensed under the MIT License - see the LICENSE file for details.
- FluidAudio - Excellent ASR and speaker diarization framework
- Apple's ScreenCaptureKit - Enabling per-process audio capture
- Apple's Accelerate framework - Optimized vector operations for embeddings
- SwiftUI & SwiftData - Modern Apple development stack
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