Skillget

local-transcriber

mcp
Guvenlik Denetimi
Basarisiz
Health Gecti
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
Code Basarisiz
  • rm -rf — Recursive force deletion command in app/build-app.sh
  • rm -rf — Recursive force deletion command in app/l10n-check.sh
  • rm -rf — Recursive force deletion command in app/make-icon.sh
  • rm -rf — Recursive force deletion command in installer/install.sh
  • rm -rf — Recursive force deletion command in installer/uninstall.sh
  • rm -rf — Recursive force deletion command in scripts/check.sh
  • rm -rf — Recursive force deletion command in scripts/make-release.sh
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

Transcribe meetings, calls and dictation locally on your Mac – with speaker recognition, no cloud. Whisper + pyannote, menu bar app. German and English.

README.md

Local Transcriber

Meetings, calls and dictation – transcribed on your Mac. No cloud.

Deutsch: docs/de/README.md

Local Transcriber (“Transcriber” for short in the menu bar) is a small menu bar tool for macOS: it records
conversations, transcribes them, recognizes who spoke, and lets you dictate anywhere at the press of a key. Everything
runs locally on the Mac – no account, no subscription, no license server, no audio leaving the computer.

Demo video (70 s) on the website

curl -fsSL https://transcriber.teconomix.net/k/github/install.sh | bash

Or with Homebrew: brew install --cask teconomix/tap/local-transcriber. Questions: Discussions.

What it does

  • Record meetings – one click; microphone and system audio (the others in the call) as separate tracks.
  • Transcribe – Whisper large-v3-turbo on the Apple Silicon GPU (MLX): one hour of audio including speaker recognition in about three to four minutes.
  • Recognize speakers – pyannote with a learning voice database; name someone once, and they are recognized next time.
  • Video calls – detects Teams, Zoom, Meet & co., offers to record and stops the recording when the call ends.
  • Calendar – event title as file name, attendees as suggestions when naming speakers.
  • Dictation everywhere – hold a key, speak, release: the text appears at the cursor in any app.
  • Local AI (macOS 26) – dictation cleanup, meaningful file names – with Apple Intelligence on the device.
  • For power users – folder watcher, plain text or Markdown, JSON, SRT, glossary, command line, MCP server for AI agents.

In detail: docs/FEATURES.md · Usage: docs/USER_GUIDE.md ·
Installation: docs/INSTALLATION.md · Privacy: docs/PRIVACY.md

Requirements

Mac with Apple Silicon (M1 or newer), macOS 14 Sonoma or newer (AI features: macOS 26 with Apple Intelligence),
about 8 GB of free disk space, 16 GB of memory recommended. Internet only for installation.

Structure

Part Location Technology
Menu bar app app/ Swift/SwiftUI, AVFoundation, Core Audio process tap, EventKit, Foundation Models, Vision
Core transcriber/ Python: mlx-whisper, pyannote.audio, ffmpeg, SQLite (voice database)
Command line / MCP transcriber/cli.py, transcriber/mcp_server.py transcriber transcribe …, MCP tools
Installer installer/ install.sh, uninstall.sh
Release scripts/make-release.sh builds dist/<version>/
Website website/ static

Building it yourself: see docs/DEVELOPMENT.md.

Legal

Free software under the MIT License – without any warranty. The models and libraries used keep their
own licenses: THIRD_PARTY_NOTICES.md.

Recordings: You are responsible for obtaining the consent of everyone involved. Secretly recording conversations is
illegal in many countries.

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