Currently in Founder's Edition — v0.x

Tscribe for Mac

100% offline AI transcription. No cloud, no subscriptions.
Runs entirely on your machine — fast, private, and free from API fees.

Download for macOS Soon

macOS 12 Monterey or later  ·  Apple Silicon & Intel  ·  ~35 MB

Build progress 72%

Polishing the UI — joining the waitlist notifies you on launch.

What you get

One download. Everything included.

Bundled whisper.cpp

No separate model installs. The app ships with a ready-to-run Whisper binary for instant transcription.

One-Time Gatekeeper Step

macOS will show a security prompt on first launch. It takes 30 seconds — see the Setup Guide for exact steps.

Universal Binary

One .dmg for both Apple Silicon (M1–M4) and Intel Macs. Optimized for each architecture natively.

All Export Formats

SRT, TXT, RTF, and JSON — with full Unicode and Cyrillic support baked in.

Stage 2

Drag & Drop Queue

Drop multiple files and they process sequentially. Coming in the next version.

Free Lifetime Updates

One-time purchase covers all future releases. Stage 1 buyers get the best price, forever.

Compatibility

System requirements

macOS

Monterey 12.0 or later (Ventura, Sonoma, and Sequoia fully supported)

Processor

Apple Silicon (M1, M2, M3, M4) or Intel Core i5+. Apple Silicon recommended for best performance.

RAM

4 GB minimum · 8 GB recommended for larger Whisper models

Disk space

~40 MB app · additional space per Whisper model (small: ~150 MB, medium: ~500 MB)

Internet

Only for initial model download. Transcription runs fully offline — no connection needed.

How it works

Ready in 3 steps

  1. Download the Free Trial

    Start by downloading the trial version to test transcription accuracy and speed on your Mac. No sign-up required.

  2. Download & install the .dmg

    Drag Tscribe into your Applications folder. Because the app is distributed outside the Mac App Store, macOS Gatekeeper will show a one-time security prompt — follow the Setup Guide to allow it in under 30 seconds.

  3. Download a Whisper model & transcribe

    Pick a model size inside the app (one click), then drag any audio or video file to start. See the Setup Guide for details.