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Install vibe using Winget - wingetCollections
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vibe thewh1teagle

ai cross-platform desktop openai rust transcribe whisper
Use this command to install vibe:
winget install --id=Thewh1teagle.vibe -e

⌨️ Transcribe audio / video offline using OpenAI Whisper

Vibe is a desktop application designed to provide offline audio and video transcription using OpenAI Whisper. It empowers users to transcribe content privately, securely, and efficiently without relying on internet connectivity or external servers.

Key Features:

  • Multilingual Support: Transcribe audio in nearly any language with high accuracy.
  • Real-Time Preview: View transcriptions as they are generated for immediate feedback.
  • Batch Processing: Transcribe multiple files simultaneously to save time.
  • Customization: Integrate custom models and adjust settings for advanced users.
  • AI Integration: Utilize Ollama for local AI analysis and summarization.

Audience & Benefit:

Ideal for journalists, educators, media professionals, and content creators who need reliable, privacy-focused transcription tools. Vibe ensures your data remains secure while delivering accurate, high-quality transcriptions in formats like SRT, VTT, TXT, PDF, and more. It is perfect for anyone seeking to streamline their workflow with a powerful, user-friendly solution.

Available on macOS, Windows, and Linux, Vibe can be installed via winget.

README

Vibe - Transcribe on your own!

⌨️ Transcribe audio / video offline using OpenAI Whisper

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

Screenshots

Features 🌟

  • 🌍 Transcribe almost every language
  • 🔒 Ultimate privacy: fully offline transcription, no data ever leaves your device
  • 🎨 User friendly design
  • 🎙️ Transcribe audio / video
  • 🎶 Option to transcribe audio from popular websites (YouTube, Vimeo, Facebook, Twitter and more!)
  • 📂 Batch transcribe multiple files!
  • 📝 Support SRT, VTT, TXT, HTML, PDF, JSON, DOCX formats
  • 👀 Realtime preview
  • ✨ Summarize transcripts: Get quick, multilingual summaries using the Claude API
  • 🧠 Ollama support: Do local AI analysis and batch summaries with Ollama
  • 🌐 Translate to English from any language
  • 🖨️ Print transcript directly to any printer
  • 🔄 Automatic updates
  • 💻 Optimized for GPU (macOS, Windows, Linux)
  • 🎮 Optimized for Nvidia / AMD / Intel GPUs! (Vulkan/CoreML)
  • 🔧 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
  • 📱 iOS & Android support (coming soon)
  • 📥 Integrate custom models from your own site: Use vibe://download/?url=
  • 📹 Choose caption length optimized for videos / reels
Versions
3.0.5
Website
github.com
License
Last Updated
5/15/2025
  • ⚡ HTTP API with Swagger docs! (use --server and open http://:3022/docs for docs)

    • Supported platforms 🖥️

    MacOS Windows Linux

    Contribute 🤝

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

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

    Community

    Discord

    Roadmap 🛣️

    You can see the roadmap in Vibe-Roadmap

    Add translation 🌐

    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.

    Docs 📄

    see Vibe Docs

    I want to know more!

    Medium post

    Issue report

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

    Privacy Policy 🔒

    Your privacy is important to us. Please review our Privacy Policy to understand how we handle your data.

    Credits

    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 completely free.

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