# meeting-transcriber: Transcribe macOS Meetings Locally with WhisperKit This repository profile is provided by osrepos.com, an open source repository discovery platform. Source: osrepos.com Repository profile: https://osrepos.com/repo/pasrom-meeting-transcriber Generated for open source discovery and AI-assisted research. Meeting Transcriber is a Swift menu bar app for macOS that records Teams, Zoom and Webex calls, then transcribes them on-device with WhisperKit or NVIDIA Parakeet. It adds speaker separation and optional Markdown meeting notes while keeping audio on your Mac. GitHub: https://github.com/pasrom/meeting-transcriber OSRepos URL: https://osrepos.com/repo/pasrom-meeting-transcriber ## Summary Meeting Transcriber is a Swift menu bar app for macOS that records Teams, Zoom and Webex calls, then transcribes them on-device with WhisperKit or NVIDIA Parakeet. It adds speaker separation and optional Markdown meeting notes while keeping audio on your Mac. ## Topics - swift - macos - desktop-app - privacy - meeting-transcription - speaker-diarization - whisper ## Repository Information Last analyzed by OSRepos: Thu Oct 29 2026 12:44:24 GMT+0000 (Western European Standard Time) Detail views: 1 GitHub clicks: 0 ## Safety Notice OSRepos shares public repositories for knowledge and discovery only. Review source code, dependencies, licenses, and security implications before running or installing anything. ## Content ## Overview Meeting Transcriber is a local-first meeting recorder and transcriber for macOS, built on WhisperKit from Argmax and NVIDIA’s Parakeet, with FluidAudio for speaker diarization. It captures meeting-app audio and microphone audio separately, processes recordings on-device, and can produce structured Markdown notes using Claude Code CLI or an OpenAI-compatible endpoint. It is aimed at people who want meeting transcripts without sending audio to a cloud transcription service, especially in privacy-sensitive or offline settings. It supports Teams, Zoom and Webex detection, with additional opt-in detection paths and file imports for existing recordings. ## Key Features - Automatically detects Teams, Zoom and Webex meetings and records app audio alongside microphone input. - Transcribes locally with WhisperKit, which supports 99+ languages, or NVIDIA Parakeet TDT v3, which supports 25 European languages. - Separates speakers with FluidAudio, including separate diarization of app and microphone tracks. - Generates meeting summaries, decisions and tasks in Markdown through Claude Code CLI or an OpenAI-compatible service, or saves transcripts without notes. - Imports common audio and video formats, with ffmpeg required for MKV and WebM. - Offers record-only mode and a localhost automation API in the Homebrew build for external processing and integrations. ## Use Cases - Teams handling confidential, legal or healthcare discussions can keep recordings and transcription on a Mac rather than uploading audio to a meeting service. - Individuals who need searchable meeting records can capture supported calls and generate notes with a configured local LLM or Claude Code CLI. - Researchers or multilingual teams can select WhisperKit or Parakeet based on language needs and process imported recordings. - Organizations with their own processing infrastructure can use record-only mode to capture source tracks for a separate pipeline. ## Our Take This is a feature-rich macOS option for local meeting transcription, with active development and rapid issue and pull-request handling, but its contribution activity is heavily concentrated in one person. **Good fit if:** - You use macOS 14.2 or later and want recording, transcription and speaker separation to run locally. - Your workflow benefits from separate app and microphone tracks, Markdown meeting notes, or batch processing of recordings. - You are comfortable configuring Claude Code CLI or an OpenAI-compatible endpoint for protocol generation, and adopting an MIT-licensed Swift app. **Look elsewhere if:** - You need a Windows or Linux desktop app, or a cloud-hosted meeting transcription service. - You need summaries without configuring a supported LLM provider, or cannot grant the macOS permissions required for your chosen recording features. - Your team requires development ownership to be spread across multiple contributors; most code contributions come from one person. ## Project Health | Signal | Value | |---|---| | Status | **Active**: regular commits and releases | | Last commit | 2026-10-29 (today) | | Commits, last 90 days | 100+ | | Releases, last 12 months | 31 (latest v0.8.1, 2026-09-11) | | Contributors | 20 (top contributor: 95% of commits) | | Issues closed, last 90 days | 16+ (typically closed in 2 days) | | Pull requests merged, last 90 days | 90 (typically merged in 0 days) | | Project age | 8 months | Checked on 2026-10-29 with the GitHub API. ## Project Facts - Language: Swift - License: MIT - Stars: 222 - Forks: 72 - Topics: apple-neural-engine, coreml, fluidaudio, local-first, macos, meeting-notes, menu-bar-app, ollama - Website: https://meetingtranscriber.app - Archived: no ## What You Need Detected in the repository: - Swift (main language on GitHub) - Automated checks on GitHub Actions ## Getting Started Install with Homebrew: ```bash brew tap pasrom/meeting-transcriber brew install --cask meeting-transcriber ``` The app requires macOS 14.2 or later. See the [README](https://github.com/pasrom/meeting-transcriber#readme) for permissions, provider setup and build instructions. ## License in Plain Words **MIT** (permissive). - Commercial use: yes - Modify and redistribute: yes - You must keep: the copyright and license notice - Share your changes: no A summary, not legal advice: the LICENSE file is what applies. ## Alternatives - [meetily](https://osrepos.com/repo/zackriya-solutions-meetily): Meetily records and transcribes meetings locally and can use Ollama or other providers for AI summaries, unlike this app's WhisperKit or Parakeet workflow. - [mityu](https://osrepos.com/repo/aydogandagidir-mityu): Mityu emphasizes source-linked summaries and action items, while this app focuses on macOS call recording, on-device transcription, and speaker separation. | Project | Language | License | Stars | Status | |---|---|---|---|---| | **meeting-transcriber** | Swift | MIT | 222 | Active | | [meetily](https://osrepos.com/repo/zackriya-solutions-meetily) | Rust | MIT | 31.6k | Active | | [mityu](https://osrepos.com/repo/aydogandagidir-mityu) | Rust | MIT | 1 | New | ## Considerations - The project is young, despite frequent commits and releases. Recent issue closures and merged pull requests indicate active maintenance, but its very high contributor concentration makes continuity a consideration for teams adopting it long term. - The app requires macOS 14.2 or later for its app-audio capture approach. Microphone access is needed for mic recording, and some detection or participant features rely on additional macOS permissions. - Transcription models download on first use. The README describes WhisperKit’s stock model as roughly 1 GB and Parakeet’s as roughly 50 MB; initial setup therefore requires network access and local storage. - Meeting-note generation depends on Claude Code CLI or an OpenAI-compatible API endpoint. The transcript-only mode avoids that dependency, but does not generate protocols. - The README describes unit tests, linting and analyzer checks in CI, but the repository health data does not report tests as a measured requirement or capability.