MacWhisper

MacWhisper is the purist’s choice for local transcription. Built by independent developer Jordi Bruin under the Good Snooze label, it turns spoken audio into text directly on your device without sending a single byte to the cloud. There is no account to create and no server to depend on. You buy the app, download a model, and start transcribing. For users who value simplicity and privacy above all else, MacWhisper delivers what it promises, and over the past year it has quietly grown well beyond a one-trick transcriber.

For a long time MacWhisper was synonymous with OpenAI’s Whisper. That changed in mid-2025, when the app added Nvidia’s Parakeet v2 and v3 models, which run locally and are dramatically faster, and often more accurate, than Whisper on Apple Silicon. The speed gains are not marginal: a three-hour podcast that once took real patience now transcribes in well under two minutes on an M2 Pro. Parakeet started English-only with multilingual support following, so Whisper still earns its place for many languages. The point is that you now choose an engine rather than accept one.

The app also gained automatic speaker recognition that works across both Whisper and Parakeet with no manual training, plus first-class meeting capture. MacWhisper can now detect and record calls on Zoom, Teams, Google Meet, Webex, Skype, and Discord through system-audio capture, which moves live meetings from an afterthought to an actual use case. It is worth being honest about maturity here: the automatic meeting recording is still labeled beta, carries a possible-data-loss warning, and is absent from the sandboxed Mac App Store build. It works, but it is not yet bulletproof.

On the AI side, MacWhisper has moved past simple summaries. Using your own API key (bring-your-own-key support covers OpenAI and Anthropic, with Google and Groq reported as well), you can generate summaries, clean up rough transcripts, translate, and now chat with a transcript to ask questions about what was said. For users who would rather not manage a key, the App Store version offers an optional first-party cloud “Assistant” subscription. Either way, this is where audio leaves your device, so the privacy story applies cleanly to transcription and recording but not to the AI layer.

Key Features

MacWhisper runs transcription entirely on-device, with a choice between OpenAI Whisper models (tiny through large) and the newer Nvidia Parakeet models for speed. Automatic speaker recognition separates voices without setup. The app transcribes audio files, microphone input, and system audio, and it can automatically detect and record meetings on the major conferencing platforms. AI summaries, cleanup, translation, and an ask-anything transcript chat are available via your own API key or an optional cloud Assistant. Transcripts edit alongside linked audio playback and export to text, SRT subtitles, JSON, and more. Batch processing handles many files at once, and everything except the optional AI features works fully offline once models are downloaded. A standalone iPhone and iPad app, “Whisper Transcription,” brings local transcription to mobile, including a share-extension flow for Voice Memos, WhatsApp, and iMessage audio.

Pricing

There are two ways to buy MacWhisper, and they price differently. Through the direct Gumroad download you get a free tier with the smaller local models and unlimited on-device transcription, then a one-time Pro license at €59 (roughly $69). That one-time price is up considerably from the ~$30 it cost when we last looked. Secondary review sites also report a higher Pro Max tier at $149 one-time that adds a commercial license, priority updates, advanced exports, and early access; we have not confirmed it on the official store page, so treat the exact figure as indicative rather than gospel.

The Mac App Store and the iOS app price Pro as a subscription or lifetime unlock instead: $6.99/mo, $29.99/yr, or $99.99 lifetime. The optional cloud “Assistant” add-on runs about $9.99/mo (with weekly and annual options). Students, journalists, and nonprofits get 25% off, and bulk and MDM licensing exists for teams. There is no per-minute metering anywhere. Whichever path you pick, MacWhisper remains one of the more cost-effective transcription tools available, especially if a one-time license suits you better than a recurring bill.

Privacy & Security

For transcription and recording, MacWhisper has about the strongest privacy posture you can ask for: everything happens on your device, with no cloud servers, no accounts, and no network requests. Your audio and transcripts never leave your Mac or iPhone. For anyone handling sensitive material, such as legal proceedings, medical consultations, or confidential interviews, that is privacy through architecture rather than policy promises. The caveat is the AI layer. Summaries, translation, transcript cleanup, and the ask-anything transcript chat send text to a cloud model, whether that is your own OpenAI or Anthropic key or the first-party Assistant subscription. The local-first guarantee holds right up until you invoke those features, and then it does not. If you stay on plain transcription, nothing leaves the device.

Best For

MacWhisper is ideal for Apple users who need accurate, private transcription and are happy to add light AI analysis on their own terms. Journalists, researchers, legal professionals, and anyone who regularly works through recorded audio will get a lot from it, and the Parakeet models make long-form transcription genuinely fast. The system-audio capture and automatic meeting detection make it usable for recording calls on any major platform, with the beta caveat noted above, and the iPhone and iPad app extends transcription to mobile. It is not the right tool if you need real-time meeting intelligence during the call, team collaboration, calendar or CRM integrations, or any Windows and Android support.

How MacWhisper Compares to Hedy

MacWhisper and Hedy start from the same instinct: keep audio on the device. Both transcribe locally, both work offline, and MacWhisper’s privacy posture for capture is excellent. The two diverge in what happens after the words are on screen. MacWhisper’s AI, the summaries and the transcript chat, runs in the cloud through your API key or its Assistant subscription, so the moment you ask it to reason about a meeting, the data leaves the device. Hedy keeps the whole loop local: transcription, summaries, and real-time coaching all run on-device, with no meeting bot joining the call.

The other gap is scope. MacWhisper records and transcribes meetings, and it can now answer questions about a single transcript. Hedy is built as a meeting assistant from the ground up, with live coaching during the conversation, structured summaries and action items, configurable session types, and knowledge that connects across meetings rather than sitting in isolated files. Hedy also runs on Mac, Windows, iOS, Android, and the web, while MacWhisper stays inside the Apple ecosystem on Mac, iPhone, and iPad. If you mainly need fast, private text from audio and the occasional summary, MacWhisper is an excellent and affordable choice. If you want the meeting itself to be coached, analyzed, and remembered without anything leaving your machine, Hedy is doing a different and larger job.