This project is a privacy-first AI meeting assistant that captures meeting audio, produces real-time transcripts, and generates summaries while keeping processing entirely on your own machine or infrastructure. It’s built for organizations that want meeting intelligence without sending recordings or transcripts to third-party cloud services, which helps address compliance and data sovereignty requirements. The app supports live transcription with local model options (including Whisper- and Parakeet-based workflows) and presents the transcript as the meeting happens, making it useful both for note-taking and accessibility. After or during the session, it can produce structured, AI-generated summaries, and it’s designed to be flexible about where that summarization comes from, supporting local providers as well as external endpoints when allowed by policy.

Features

  • Local-first processing so meeting data stays on your machine
  • Real-time transcription with support for Whisper- and Parakeet-style model pipelines
  • AI-generated meeting summaries with configurable provider options
  • Offline-capable workflow to avoid mandatory cloud dependencies
  • Multi-platform support across common desktop operating systems
  • Self-hostable and modifiable codebase aimed at enterprise privacy and compliance needs

Project Samples

Project Activity

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License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Rust

Related Categories

Rust Artificial Intelligence Software

Registered

4 days ago