MacWhisper
Native macOS app for Whisper transcription. Drag a file in, get a transcript out.
Editorial verdict: “Best Whisper desktop app on macOS. Pay once, transcribe locally forever.”
Compatibility at a glance
Which runtime + OS combos this app works against. Source of truth for "will it run on my setup?"
What it is
MacWhisper is for macOS users who want Whisper transcription without touching a terminal or managing Python environments. It wraps whisper-cpp in a native SwiftUI app that ships with quantized models from tiny to large-v3 Q5_0, so you can drag in audio files and get SRT, VTT, or plain text output entirely offline. Real-time mic transcription works well on Apple Silicon, and batch processing handles multiple files. The pay-once model means no subscription, but it’s closed-source — you’re trusting the developer’s privacy claims rather than auditing the code yourself. If you need cross-platform support or open-source transparency, look elsewhere.
✓ Strengths
- +Native macOS app with great UX
- +Real-time mic transcription on Apple Silicon
- +Pay-once model — no subscription
△ Caveats
- −macOS only
- −Closed-source — you trust the developer's privacy claims
About the Voice / transcription category
Transcription, speech-to-text, or text-to-speech.
Where to go from here
Pre-filled with this app's recommended use case + budget tier. Get the full rig + runtime + model picks.
The full directory — filter by category, runtime, OS, privacy posture, or VRAM.
What this app talks to: Ollama, vLLM, llama.cpp, MLX, LM Studio. The upstream layer.
Did this app work for you on a specific rig? Submit the benchmark — it powers the model + hardware pages.