⌨️ Transcribe audio / video offline using OpenAI Whisper

🔗 Download Vibe   |   Give it a Star ⭐ |   Support the project 🤝

• 🌍 Transcribe almost every language
• 🔒 Ultimate privacy: fully offline transcription, no data ever leaves your device
• 🎨 User friendly design
• 🎙️ Transcribe audio / video
• 📂 Batch transcribe multiple files!
• 📝 Support SRT, VTT, TXT, HTML, PDF, JSON formats
• 👀 Realtime preview
• 🌐 Translate to English from any language
• 🖨️ Print transcript directly to any printer
• 🔄 Automatic updates
• 🖥️ Optimized for CPU on (Windows / Linux)
• 💻 Optimized for GPU (macOS, Windows)
• 🎮 Optimized for Nvidia GPUs! (see INSTALL.md#nvidia)
• 🎮 Optimized for AMD GPUs (linux only)! (see INSTALL.md#amd)
• 🔧 Total Freedom: Customize Models Easily via Settings
• ⚙️ Model arguments for advanced users
• ⏳ Transcribe system audio
• 🎤 Transcribe from microphone
• 🖥️ CLI support: Use Vibe directly from the command line interface! (see --help)
• 👥 Speaker diarization (Beta)
• 📱 iOS & Android support (coming soon)
• 📥 Integrate custom models from your own site: Use vibe://download/?url=<model url>
• 📹 Choose caption length optimized for videos / reels
• ⚡ HTTP API with Swagger docs! (use --server and open http://<host>:3022/docs for docs)

MacOS Windows Linux

See Install.md

PRs are welcomed! In addition, you're welcome to add translations.

We would like to express our sincere gratitude to all the contributors.

You can see the roadmap in Vibe-Roadmap

1. Copy en from desktop/src-tauri/locales folder to new directory eg pt-BR (use bcp47 language code)
2. Change every value in the files there, to the new language and keep the keys as is
3. create PR / issue in Github

In addition you can add translation to Vibe website by creating new files in the landing/static/locales.

see BUILDING.md

Medium post

You can open new issue and it's recommend to check DEBUG.md first.

Thanks for tauri.app for making the best apps framework I ever seen

Thanks for wang-bin/avbuild for pre built ffmpeg

Thanks for github.com/whisper.cpp for outstanding interface for the AI model.

Thanks for openai.com for their amazing Whisper model

Thanks for github.com for their support in open source projects, providing infastructure completly free.

And for all the amazing open source frameworks and libraries which this project uses...