MacWhisper
Why MacWhisper
MacWhisper runs OpenAI's Whisper speech-to-text model on your Mac, transcribing audio files, video, meetings and system dictation whilst keeping everything private. It is designed for journalists, researchers, podcasters and founders who need accurate transcription without uploading sensitive recordings to the cloud. Local processing ensures both speed and complete privacy.
What it does
MacWhisper is a Mac app that turns speech into text using Whisper speech models running on your computer. You drag in an audio or video file, pick a model and get a transcript. It handles common audio and video formats and more than 100 languages.
It also records meetings in Zoom, Teams, Webex, Skype, Chime and Discord without a bot joining, transcribes YouTube and podcast links, supports system-wide dictation, and exports subtitles, text, Markdown, PDF and Word files.
Why you would need it
Typing out a recording by hand costs hours. Cloud tools fix that, but they ask you to upload files that may hold client calls, interviews or internal strategy. Some also stall on longer files or lose progress when the connection drops.
I would look at MacWhisper when you transcribe regularly and either privacy or reliability matters. The file stays on your Mac, the process runs offline, and nothing waits on a server.
Where it fits
MacWhisper sits between a recording and the place where the text gets used. Zoom calls, voice memos, podcasts and course videos feed it. It feeds subtitles into a video editor, transcripts into Notion or Obsidian, and text into an AI model for summaries. It replaces manual transcription and, for many people, the cloud transcription services.
What stands out
- Local models mean files do not leave your Mac, and it works offline.
- Speaker recognition, batch transcription and a built-in editor make the output usable, not just raw text.
- Subtitle export in SRT and VTT formats is built in.
- It can send finished transcripts to Notion, Zapier, Obsidian, n8n, Make or a custom webhook, and it can watch folders for new files.
My take
I use MacWhisper mainly to create subtitles for my B2B growth marketing course. Subtitles matter for accessibility and for people who watch in a noisy place, and this has been the most accurate and efficient tool for the job. Being able to choose between models lets me pick speed or accuracy depending on the content.
What I like most is that it runs locally. I have used cloud tools that time out or lose progress on long files, including ChatGPT when I ran longer files or several at once. With MacWhisper I do not worry about the connection. It is also built by a Dutch developer, which I like to see succeed.
Verdict
Pick MacWhisper if you are on a Mac, transcribe often and want privacy and speed. Skip it if you need live meeting notes shared across a team on different machines, or if your team uses Windows, where a cloud tool is the better fit.
Books behind it
Notes
Your note
Before you choose
Mac only
MacWhisper is a Mac app. If part of your team uses Windows or Linux, they need another tool. Check your Mac's hardware as well, since local models run faster on newer machines.
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Free and Pro
The free version uses the smaller transcription models. Pro is a one-time purchase per licence with lifetime updates and the larger models. Try the free version on your own recordings first, and buy Pro if the accuracy of the bigger models matters for your languages.
Buy from the official site
The MacWhisper website warns about scam sites that copy it and carry malware. Purchases go through its Gumroad page or the App Store, and there are differences between the App Store and direct versions. Read the FAQ before you choose.
Compare it with cloud tools
Cloud tools such as Otter.ai, Fireflies.ai, Fathom and Granola are better for team meeting notes and shared libraries. MacWhisper is better for private, batch transcription of files you already have.