MeetingBro
github.com
Spec sheet
- Purpose
- MeetingBro is an open-source, local-first AI meeting assistant for live transcription, translation, and meeting summaries.Read 12 Oct 2026 · github.com
- Product
- MeetingBro is an open-source, local-first AI meeting assistant for live transcription, translation, and meeting summaries.Read 11 Oct 2026 · github.com
- Intended users
- The maker lists students, professionals attending meetings in a second language, researchers needing multilingual transcripts, privacy-conscious users, and developers as intended users.Read 12 Oct 2026 · github.com
- Free plan
- YesRead 20 Sep 2026 · github.com
- Privacy
- Audio capture and Whisper transcription run on the user's machine, and only transcript text is sent to a configured LLM provider; with Ollama, the README says no data leaves the device.Read 12 Oct 2026 · github.com
- License
- The project is released under the MIT license.Read 12 Oct 2026 · github.com
- Audio capture limits
- Microphone capture is supported on Windows, macOS, and Linux; system audio is native on Windows and requires loopback setup on macOS and Linux.Read 11 Oct 2026 · github.com
- Audio setup limits
- Windows supports system audio natively, while macOS needs a virtual loopback device and Multi-Output Device and Linux needs PulseAudio or PipeWire loopback setup.Read 12 Oct 2026 · github.com
- Exports and history
- Users can export transcripts, summaries, and notes to Markdown and revisit, re-export, or delete past meetings in the in-app history browser.Read 12 Oct 2026 · github.com
- Fast captions
- An optional streaming preview can show captions in about 1.5 seconds using the existing Whisper model, with the main transcript correcting the preview.Read 11 Oct 2026 · github.com
- Installation
- The maker's quick-start instructions use terminal install and start scripts and list Python 3.12+ and Node.js 20+ as requirements for those scripts.Read 12 Oct 2026 · github.com
- Languages
- Live translation and optional translated subtitles support Chinese, English, and German.Read 12 Oct 2026 · github.com
- LLM integrations
- Optional LLM providers include OpenAI, Groq, Mistral AI, OpenRouter, Together AI, and Ollama; Ollama can run locally.Read 12 Oct 2026 · github.com
- Meeting capture
- desktopRead 20 Sep 2026 · github.com
- Meeting compatibility
- It captures computer audio to work with Zoom, Teams, Google Meet, BBB, and other meeting platforms without a platform plugin or meeting API connection.Read 12 Oct 2026 · github.com
- Meeting platforms
- Zoom,Microsoft Teams,Google Meet,BBB,and other platformsRead 20 Sep 2026 · github.com
- No-key operation
- Transcription does not require an API key; without an LLM configured, summaries fall back to local heuristics.Read 11 Oct 2026 · github.com
- No-key use
- Transcription requires no API key; without an LLM configured, summaries fall back to local heuristics or keyword extraction.Read 12 Oct 2026 · github.com
- Requirements
- The installation instructions require Python and Node.js, and the README says the Whisper model downloads automatically on first run.Read 11 Oct 2026 · github.com
- Summaries and action items
- YesRead 20 Sep 2026 · github.com
- Summaries and notes
- The rolling summary refreshes automatically with the last 3–5 minutes, while the Meeting Board collects topics, decisions, action items, and open questions.Read 12 Oct 2026 · github.com
- Transcription
- Live speech-to-text uses Whisper running locally on the user's machine.Read 12 Oct 2026 · github.com
- Transcription languages
- 3Read 20 Sep 2026 · github.com
Plans and prices
MeetingBro Free Open-source · MIT license Read 12 Oct 2026 · github.com
Where Specifiction places it
- AI Meeting Assistants#42 of 828.2