The problem
How it works
Meetily is an MIT-licensed desktop app for Windows and Apple Silicon Macs, with Linux built from source. It captures meeting audio, transcribes it locally through whisper.cpp or an ONNX build of NVIDIA Parakeet, and passes the transcript to a summary model. The README recommends Ollama for fully local summaries, with Claude, Groq, OpenRouter, OpenAI or any OpenAI-compatible endpoint as alternatives.
Results and limitations
The README describes features, not measured outcomes. Its central claim is that audio and transcripts stay on your device, and that only the transcript text leaves it when you choose a cloud summary provider.
Before you try it
Tell participants you are recording and follow local consent law and your employer's policy. Acceleration is automatic on Macs (Metal and CoreML) and uses Vulkan on Windows, which needs a CPU with AVX2; CUDA needs a custom build. The project description and README disagree on speaker identification, which the README lists as a paid Pro feature, so do not count on who-said-what labels in the free edition. Meetily runs Whisper models through whisper.cpp, not OpenAI's Python whisper package. Results depend on your setup and were not independently reproduced by Top 200 Repos.
Tools and repositories
- Tools
- Meetily desktop app · Ollama (optional, for local summaries)
- Prerequisites
- Windows x64 with an AVX2 CPU or an Apple Silicon Mac; Linux users build from source.
Try it yourself: Turn a meeting transcript into minutes
Fill the fields to adapt the prompt. Empty fields stay as visible [placeholders].
Here is a transcript exported from Meetily for the meeting [Meeting title] held on [Meeting date]: [Transcript text]. Write minutes with these sections: decisions made, action items with an owner and due date where the transcript states them, open questions, and a five-sentence summary. Mark anything you inferred rather than read in the transcript as unconfirmed, do not invent owners or dates, and leave out personal remarks unrelated to the agenda. Keep the minutes under [Word limit] words.Use a local Ollama model for this prompt when the meeting is confidential.
Related videos
About ollama/ollama
Learn Ollama in 15 Minutes - Run LLM Models Locally for FREE (opens in a new tab)
The description links the GitHub repository.
Watch on YouTube (opens in a new tab)Independent creators. Listing a video implies no endorsement, sponsorship or partnership.
Sources
- Zackriya-Solutions/meetily README (opens in a new tab)
Project documentation · github.com · Undated · Source checked 11 Nov 2026, 22:04 UTC
What this source supports
- Records meetings, transcribes them and generates summaries, locally by default
- Transcription runs on Whisper through whisper.cpp, or on Parakeet
- Ollama is the recommended summary provider; cloud providers are optional
- Native builds for Windows x64 and Apple Silicon macOS; Linux builds from source
- Community Edition is MIT licensed; speaker identification is listed under the paid Pro tier
