Meetily

Meetily captures, transcribes and summarizes meetings entirely on the machine running it. For a defense consultant, a lawyer or a healthcare provider, the usual cloud note-taker means sensitive discussion lands on servers somebody else operates, and this removes that trade without giving up the transcript or the summary.

Transcription runs locally on Whisper or Parakeet models, with a live transcript building as the meeting happens. Summaries come from whichever provider you choose, Ollama for a fully local setup, or Claude, Groq, OpenRouter and any OpenAI-compatible endpoint, which suits organizations pointing at inference infrastructure they run themselves.

The application handles the practical parts of recording a meeting.

• Audio mixing: microphone and system audio are captured together with ducking and clipping prevention.
• Import and enhance: existing audio files can be transcribed, or a recorded meeting re-transcribed with another model or language, still in beta.
• Local storage: models, recordings and transcripts all stay on the machine.
• Cross-platform builds: installers for Windows and macOS, and a documented source build for Linux.
• Cost control: open models stand in for paid transcription APIs, and the tool keeps working offline.

Windows users run an installer, macOS users drag the app out of a disk image, and Linux builds from source with a GPU script after cloning the repository. A paid Pro edition adds higher accuracy, advanced exports, custom summary workflows and team features, with speaker diarization planned there. The community edition remains open source and free to use.