#44th of 16 in Voice

meetily

Desktop app that records, transcribes and summarizes meetings locally

Live demo ↗ Website ↗ Repository on GitHub ↗

Stars: 31.7k
License: MIT
Last commit: Sep 2026
Last release: Sep 2026
Language: Rust

Stars, last 29 weeks+21,208

10,524 on 24 Mar 202631,732 on 13 Oct 2026

From GitHub's daily star counts.

Checked 14 Oct 2026 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

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

Head to head

Also in Voice

See all 16

Also in Voice
Rank	Project	Score
1	whisper.cppC/C++ port of OpenAI Whisper for local speech-to-text transcription54.4k starsMIT	74 out of 100
2	VoiceboxLocal voice studio for cloning, TTS, dictation and agent speech57.4k starsMIT	69 out of 100
3	Speech-to-SpeechModular voice-agent pipeline exposed through the OpenAI Realtime API13.5k starsApache-2.0	66 out of 100
#5	Kokoro-FastAPIOpenAI-compatible text-to-speech server for the Kokoro-82M model Live demo ↗ (opens in a new tab)5.5k starsApache-2.0	64 out of 100
#6	Pocket TTSCPU-only text-to-speech model with voice cloning and streaming Live demo ↗ (opens in a new tab)9.9k starsMIT	63 out of 100

How to choose

Latency decides usability for voice agents; check the end-to-end numbers the project publishes.
Most quality models need a GPU; CPU-only setups are slower and limited to smaller models.
Check language coverage and whether models are downloaded at build or at first run.

Health

Releases: 6 in the last 12 monthsLast one 32 days ago
Top contributor: 54% of commits177 of 330 in the last 12 months
Security advisories: NoneOn GitHub, in the last 12 months
OpenSSF Scorecard: Not checked

Read from GitHub, deps.dev and OpenSSF on 14 Oct 2026. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

MIT Permissive

Use it at work: Yes
Change it and rebrand it: Yes
Sell it or host it for others: Yes

Your part: Keep the copyright and license notice in copies you ship.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

#4 of 16 in Voice on Archestack, as of 14 Oct 2026.

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Best of Open-Source AI on GitHub

Each review comes from the project's README and facts we check on GitHub. The fix form opens with meetily filled in.