MacWhisper

A Mac app that transcribes audio and video files to text on your own machine.

FreemiumProprietarymacOS

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About MacWhisper

MacWhisper turns recordings of meetings, lectures, interviews and other audio into text. Transcription runs locally on the Mac using OpenAI's Whisper models, with Qwen and Nvidia Parakeet models also available.

It can recognise different speakers through NVIDIA Nemotron 3 Diarization, so a conversation can be split by who is talking. It suits people who transcribe often and would rather not upload recordings to a cloud service. The app is sold through a Gumroad store page rather than an app website.

Strengths

  • Transcription runs locally on the Mac
  • Choice of Whisper, Qwen and Parakeet models
  • Speaker recognition for multi-person recordings

Limitations

  • macOS only
  • Closed source
  • Distributed through a Gumroad page rather than a full product site

Details

Pricing
FreemiumSold through Gumroad; check the store page for the current free and paid options.
License
Proprietary
Developer
Good Snooze
Platforms
macOS
How it runs
Downloadable app
Works offline
Yes
Best suited for
Mac users who transcribe meetings, lectures or interviews privately
Last verified
Added
Provenance
Facts checked against the developer's own pages and store listings, 1 sources on file.

Alternatives to MacWhisper

Compare all

Software that can replace MacWhisper for an important use case, and what changes if you switch.

  • Vibe

    Transcribe audio and video files on your own computer.

    Vibe is free and MIT open source on Windows, macOS and Linux, with batch jobs and several subtitle formats.

  • Buzz

    Turn speech recordings into text with a desktop transcription app.

    Buzz is a free MIT desktop app for Windows, macOS and Linux that adds microphone transcription and subtitle exports.

  • noScribe

    Transcribes recorded audio to text on your own computer, with speaker separation.

    noScribe is free GPL-3.0 software on Windows, macOS and Linux with local speaker separation, though transcription is slow without a capable GPU.

  • whisper.cpp

    C/C++ port of OpenAI's Whisper for fast offline speech-to-text on your own hardware.

    whisper.cpp is a free MIT command-line tool across platforms that runs offline on CPU or GPU, without a graphical interface.

  • WhisperX

    A speech recognition tool that adds word-level timestamps and speaker diarization to Whisper transcription.

    FreeProprietaryCommand line

    WhisperX adds word-level timestamps and speaker diarization but is command-line and Python only, with CUDA setup and an unstated license.

  • Whisper

    An open-source speech recognition model from OpenAI for transcribing and translating audio on your own machine.

    Whisper is OpenAI's free MIT model that also translates to English, but needs command-line and Python setup.

  • aTrain

    Transcribe recorded interviews on your own computer.

    aTrain is a free AGPL-3.0 interview transcriber with speaker detection, available for Windows and Linux rather than macOS.

Similar software

Related functionality, not necessarily a direct replacement.

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