A powerful desktop application for transcribing audio and video files using OpenAI's Whisper model. Create concise notes from audio and video files completely offline with no API costs.

• 🎙️ Audio/Video Transcription: Transcribe various formats (MP4, MKV, AVI, MOV, MP3, M4A, WAV)
• 📁 Batch Processing: Process multiple files at once with progress tracking
• 🔴 Real-time Transcription: Live microphone transcription
• 🤖 AI Summaries: Generate concise summaries using Ollama integration
• 🌐 Network Share Support: Access files from network locations
• ⌨️ Keyboard Shortcuts: Cross-platform shortcuts for efficient workflow
• 🎨 Modern UI: Beautiful interface built with NextUI/HeroUI
• 💾 100% Local & Private: All processing happens on your machine
• ⚡ Fast Performance: 4-10x faster than realtime on modern hardware
• 🚀 GPU Acceleration: Optional Metal (macOS), CUDA (NVIDIA), and CoreML support
• 🌍 100+ Languages: Automatic language detection or specify manually
• 💰 Zero Cost: No API fees, usage limits, or subscriptions

1. Node.js 18+ - Required for running the application

   # Download from https://nodejs.org/

2. FFmpeg - Required for audio/video processing

   # macOS
   brew install ffmpeg
   
   # Ubuntu/Debian
   sudo apt install ffmpeg
   
   # Windows
   # Download from https://ffmpeg.org/download.html

# Clone the repository
git clone https://github.com/perplext/concise-notes.git
cd concise-notes

# Install dependencies
cd ui
npm install

cd ui
npm run dev

cd ui
npm run build
npm run electron

1. Launch the application:

   cd ui
   npm run electron

2. Download models: Navigate to the Models page and download your preferred model (models are downloaded automatically on first use)

3. Start transcribing:

   • Use the Transcribe tab for single file transcription
   • Use the Batch tab for processing multiple files
   • Use the Real-time tab for live microphone transcription

Models can be downloaded through the Models page in the application:

• Cmd/Ctrl + O: Open file for transcription
• Cmd/Ctrl + S: Save transcription
• Cmd/Ctrl + N: New transcription
• Cmd/Ctrl + B: Batch processing
• Cmd/Ctrl + R: Real-time transcription
• Cmd/Ctrl + M: Models management
• Cmd/Ctrl + ,: Settings

• Space: Play/Pause audio
• Escape: Stop transcription
• Cmd/Ctrl + E: Export transcription
• Cmd/Ctrl + Shift + S: Save with custom format

cd ui
npm run dist:mac
# Creates .dmg and .app bundle in ui/release/

cd ui
npm run dist:win
# Creates installer in ui/release/

cd ui
npm run dist:linux
# Creates AppImage/deb/rpm in ui/release/

The application stores configuration in:

• macOS: ~/Library/Application Support/concise-note-taker/
• Windows: %APPDATA%/concise-note-taker/
• Linux: ~/.config/concise-note-taker/

• Frontend: React + TypeScript + Vite
• UI Framework: NextUI/HeroUI with Tailwind CSS
• Desktop: Electron
• AI Model: OpenAI Whisper (via smart-whisper-electron)
• Audio Processing: FFmpeg
• Transcription: Whisper.cpp bindings

MIT License - See LICENSE file for details

Contributions are welcome! Please feel free to submit a Pull Request.

For issues and feature requests, please use the GitHub Issues page.

• OpenAI for the Whisper model
• whisper.cpp for the C++ implementation
• smart-whisper-electron for the Node.js bindings
• NextUI/HeroUI for the beautiful UI components