Whisper Transcription 13.21.4 for MacOS

by razahussain · July 2, 2026

Whisper Transcription 13.21.4 for Mac Free Download

Most transcription tools require you to upload audio to a cloud server. That means your recordings, your meetings, and your private conversations leave your machine. You depend on a third-party’s uptime, pay per-minute fees, and accept file size limits. If your internet is slow, the whole workflow breaks. Whisper Transcription on Mac removes every one of those problems.

OpenAI’s Whisper is a free, open-source automatic speech recognition (ASR) model. It was released in September 2022 and trained on 680,000 hours of multilingual audio. It handles accents, background noise, technical jargon, and over 100 languages with accuracy that rivals human transcription. The best part is that it runs completely on your Mac. No internet is needed after setup. No audio ever leaves your device.

Mac users have two main ways to use Whisper. The first is through a native GUI app like MacWhisper or the Whisper Transcription app from the Mac App Store. These give you drag-and-drop simplicity with no terminal knowledge required. The second is through the Terminal using the openai-whisper Python package or whisper.cpp. This path is fully free and gives you complete control over models, output formats, and automation.

Both paths produce the same result. You get a clean, accurate text transcript of your audio or video file. The transcript can be exported as plain text, SRT subtitles, or VTT captions for use in video editors, documents, or note-taking apps.

Features

Transcribes audio and video files entirely on-device with no internet required
Powered by OpenAI Whisper, trained on 680,000 hours of multilingual data
Supports all major audio and video formats via FFmpeg integration
Drag-and-drop file input for instant transcription
Exports transcripts as TXT, SRT subtitles, and VTT caption files
Word-level timestamps for precise navigation inside long transcripts
Supports 100+ languages with fastest performance in English
Batch processing to transcribe multiple files in sequence
System audio capture for Zoom calls, podcasts, and live recordings
Multiple Whisper model sizes from Base to Large-v3 for speed vs accuracy control
Metal and GPU acceleration for fast processing on Apple Silicon
Speaker recognition and AI-assisted text cleanup in Pro-tier apps