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zackriya-solutions/meetily

11,976RustAudience · pm founderComplexity · 2/5LicenseSetup · easy

TLDR

Meetily records, transcribes, and summarizes your meetings entirely on your own computer, no audio or text ever leaves your machine, making it safe for sensitive or regulated conversations.

Mindmap

mindmap
  root((Meetily))
    What it does
      Meeting recording
      Live transcription
      Speaker detection
      AI summaries
    Tech Stack
      Rust backend
      Whisper
      Ollama
      Desktop app
    Use Cases
      Private meeting notes
      Compliance recording
      Audio file import
    Audience
      Enterprises
      Legal and healthcare
      Remote teams
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Things people build with this

USE CASE 1

Record and automatically transcribe a meeting on Mac or Windows without sending any audio to the cloud.

USE CASE 2

Generate a written summary of a recorded meeting using a local AI model that runs entirely on your own machine.

USE CASE 3

Import an existing audio file from a past meeting and have it transcribed and summarized offline.

USE CASE 4

Use Meetily for legal, healthcare, or enterprise meetings where cloud recording tools create compliance risks.

Tech stack

RustWhisperParakeetOllamaElectron

Getting it running

Difficulty · easy Time to first run · 30min

Linux users must build from source, macOS and Windows users get prebuilt installers for a much faster setup.

Free to use, modify, and distribute for any purpose as long as you include the MIT license notice.

In plain English

Meetily is a meeting assistant application that records, transcribes, and summarizes your meetings entirely on your own computer, without sending any audio or text to outside servers. It is designed for people who work with sensitive conversations and do not want their meeting content stored on third-party cloud infrastructure. The transcription is done using open-source speech recognition models called Whisper and Parakeet, which run locally on your machine. As a meeting happens, Meetily produces a live transcript in real time. It also identifies different speakers in the recording, a feature called speaker diarization. After the meeting, it generates a written summary using a local AI model through a tool called Ollama. If you prefer, you can also point it at external AI services like Claude, Groq, or any OpenAI-compatible endpoint, but local processing is the default recommendation. The application runs on macOS, Windows, and Linux. On macOS and Windows, prebuilt installers are available for download. Linux users build from source using the provided instructions. The backend is written in Rust for performance, and the frontend uses a standard web-based interface packaged as a desktop app. The community edition is free and open source under the MIT license. A paid PRO version adds features like custom summary templates, PDF and Word document exports, automatic meeting detection, and built-in GDPR compliance tools, but the core product described in the README remains free. The README positions the tool primarily for enterprises, legal teams, healthcare providers, and anyone in a regulated industry where cloud meeting tools create compliance or confidentiality risks. You can also import existing audio files to have them transcribed after the fact, or re-process recordings with a different AI model.

Copy-paste prompts

Prompt 1
I installed Meetily on macOS. How do I configure it to use a local Ollama model for meeting summaries instead of an external API?
Prompt 2
I have an audio recording from a client meeting. How do I import it into Meetily to get a transcript and AI summary?
Prompt 3
How does Meetily's speaker diarization work, how does it tell different speakers apart in the same transcript?
Prompt 4
I'm evaluating Meetily for a healthcare team. What data stays on our machines and is anything ever sent externally?
Prompt 5
What features does the Meetily PRO version add over the free community edition, and is it worth it for a small team?
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