ใคร ประชุม บ่อย ๆ หรือ ว่า เรียน ออนไลน์ บ่อย ๆ เนี่ย แล้ว จด ตาม ไม่ ทัน

Meetily Capture. Transcribe. Summarize. All Locally ZACKRIYA Privacy-First AI Meeting Assistant #1 Repository Of The Day Pre Release Link Stars 25k Downloads 34k License MIT Supported OS: macOS, Windows, Linux Tag: v0.4.0 Open Source Privacy-First Enterprise-Ready Get latest Product updates Website LinkedIn Meetily Discord Privacy-First AI Reddit A privacy-first AI meeting assistant that captures, transcribes, and summarizes meetings entirely on your infrastructure. Built by expert AI engineers passionate about data sovereignty and open source solutions. Perfect for enterprises that need advanced meeting intelligence without compromising on privacy, compliance, or control. View full Demo Video Meetily PRO Upgrade Offer - Meetily PRO is available for users who need enhanced accuracy, advanced exports, custom summary workflows, and team-ready features. Use coupon code LAUNCH20 for diarization is also planned for PRO in mid-June. Explore Meetily PRO → Table of Contents README Contributing MIT license Multi-Platform: Works on macOS, Windows, and Linux. Open Source: Meetily is open source and free to use. Flexible AI Provider Support: Choose from Ollama (local), Claude, Groq, OpenRouter, or use your own OpenAI-compatible endpoint. Installation Windows 1. Download the latest x64-setup.exe from Releases 2. Run the installer macOS 1. Download meetily_0.4.0_aarch64.dmg from Releases 2. Open the downloaded .dmg file 3. Drag Meetily to your Applications folder 4. Open Meetily from Applications folder Linux Build from source following our detailed guides: Building on Linux General Build Instructions Quick start: git clone https://github.com/Zackriya-Solutions/meeting-minutes cd meeting-minutes/frontend pnpm install ./build-gp.sh Key Features in Action Local Transcription Transcribe meetings entirely on your device using Whisper or Parakeet models. No cloud required. Import & Enhance Beta Import existing audio files to generate transcripts, or enhance to re-transcribe any recorded meeting with a different model or language, all processed locally. Contributed by Jeremi Joslin, improved by Vishnu P.S and Mohammed Safvan AI-Powered Summaries Generate meeting summaries with your choice of AI provider. Ollama (local) is recommended, with support for Claude, Groq, OpenRouter, and OpenAI. Privacy-First Design All data stays on your machine. Transcription models, recordings, and transcripts are stored locally. Custom OpenAI Endpoint Support Use your own OpenAI-compatible endpoint for AI summaries. Perfect for organizations with custom AI infrastructure or preferred providers. README Contributing MIT license