MeetingBro

No phone app

5.6No. 71 of 82
in AI Meeting Assistants

Recognised40% of the score30
Phone app26% of the score0
Documented20% of the score61
Free plan14% of the score30

Runs on: Linux, Mac, Windows

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Summary

MeetingBro is ranked #71 of 82 in AI meeting assistants on Samsung Mobile US Press. It runs on Linux, macOS, Windows.

Compared on AI meeting assistants

Free plan: Yesgithub.com
Transcription: Yesgithub.com
Summaries and action items: Yesgithub.com
Meeting capture: desktopgithub.com
Meeting platforms: Zoom, Microsoft Teams, Google Meet, BBB, and other platformsgithub.com
Transcription languages: 3 languagesgithub.com

Facts

Product: MeetingBro is an open-source, local-first AI meeting assistant for live transcription, translation, and meeting summaries.github.com · 11 Oct 2026
Summaries and notes: It produces rolling summaries and a Meeting Board with topics, decisions, action items, and open questions, and can export transcripts and notes to Markdown.github.com · 11 Oct 2026
Languages: Live translation and optional translated subtitles are described for Chinese, English, and German.github.com · 11 Oct 2026
Meeting compatibility: It captures computer audio rather than connecting to meeting APIs, and the README says it works with Zoom, Teams, Google Meet, BBB, and other platforms.github.com · 11 Oct 2026
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.github.com · 11 Oct 2026
LLM integrations: Optional summary and translation providers listed include OpenAI, Groq, Mistral AI, OpenRouter, Together AI, Ollama, and AWS Bedrock via a proxy.github.com · 11 Oct 2026
Privacy: Audio capture and Whisper transcription run locally; only transcript text is sent to the configured LLM provider, and using Ollama keeps data on-device.github.com · 11 Oct 2026
No-key operation: Transcription does not require an API key; without an LLM configured, summaries fall back to local heuristics.github.com · 11 Oct 2026
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.github.com · 11 Oct 2026
Intended users: The project lists students, professionals meeting in a second language, researchers needing multilingual transcripts, privacy-conscious users, and developers as intended users.github.com · 11 Oct 2026
Requirements: The installation instructions require Python and Node.js, and the README says the Whisper model downloads automatically on first run.github.com · 11 Oct 2026
License: The repository identifies MeetingBro as MIT-licensed open-source software.github.com · 11 Oct 2026