#66th of 62 in VoiceFor voice, speech and music
meetily
Desktop app that records, transcribes and summarizes meetings locally
- Stars
- 32.1k
- License
- MIT
- Last commit
- Sep 2026
- Last release
- Sep 2026
- Language
- Rust
10,533 on 27 Mar 202632,106 on 23 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Meetily is a Tauri desktop app with a Rust backend and a Next.js frontend. It captures microphone and system audio, transcribes on-device with Whisper or Parakeet models, and generates summaries through Ollama, Claude, Groq, OpenRouter, or any OpenAI-compatible endpoint. Installers exist for Windows and macOS; Linux requires a source build.
Who it is for: Professionals who want private, local meeting transcription and notes
Ranked among open-source alternatives to ElevenLabs (#6 of 10), Otter.ai (#7 of 10) and Granola (#2 of 4).
Strengths
- Transcription runs on-device with Whisper or Parakeet; no cloud needed
- Summary provider is selectable, including local Ollama or a custom OpenAI-compatible endpoint
- Records microphone and system audio together with mixing
- Imports existing audio files and re-transcribes with another model or language (beta)
Weaknesses
- No prebuilt Linux package; must build from source
- Speaker diarization is not in the community edition; planned for PRO
- Custom summary templates, advanced exports and auto-join are PRO-only
- Standard Windows installer uses Vulkan; CUDA needs a source build
What it needs
- GPU optional
- Needs Ollama (optional, for local summaries)
- Models: Whisper, Parakeet (ONNX), Ollama, Claude, Groq
Quick answers
Is meetily open source?
Yes. Its code is on GitHub under the MIT license.
Does meetily need a GPU?
No. It runs on a CPU and can use a GPU when you have one.
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|---|---|---|
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| 2 | whisper.cppC/C++ port of OpenAI Whisper for local speech-to-text transcription | 89 out of 100 |
| 3 | xiaozhi-esp32ESP32 firmware for a voice chatbot with MCP device and cloud tool control | 82 out of 100 |
| #4 | buzzOffline desktop app for transcribing and translating audio with Whisper | 80 out of 100 |
| #5 | agentsPython framework for realtime voice and multimodal agents on LiveKit WebRTC | 79 out of 100 |