By Jithin Kumar PalepuJan 29, 202610 min read

Super Whisper vs Wispr Flow: We Tested Both So You Don't Have To

Short answer: pick Super Whisper if your audio must stay on your Mac. It runs Whisper models locally and works offline. Pick Wispr Flow if you want cleaned-up, formatted text with no setup and are fine with cloud processing. Below: pricing, privacy, accuracy and the cases where neither fits.

Super Whisper vs Wispr Flow
Super Whisper (left) and Wispr Flow (right)

Voice dictation on Mac has come a long way from the stuttering mess of a decade ago. Today, apps like Super Whisper and Wispr Flow promise near-perfect transcription at speeds that make typing feel archaic. But they approach the problem from opposite directions, and that matters more than you might think.

I spent three weeks with both applications, dictating everything from emails to code comments to this very article. Here's what I found.

The Privacy Question

Let's start with the elephant in the room. Super Whisper processes everything locally. Your voice never leaves your machine. For anyone working with sensitive information like lawyers, doctors, or journalists, this is the feature that matters most.

Wispr Flow takes the opposite approach. It sends your audio to the cloud, where sophisticated AI models clean up your speech, remove filler words, and polish the output. The result often reads better than what you actually said. But that convenience comes with a trade-off: your voice data travels through external servers.

Wispr Flow gives you two switches. Its privacy page says a Dictation Cloud Storage setting controls whether transcripts, audio and history are kept on its servers, and a separate setting decides whether your dictation data may be used to train or improve its models. If your work is sensitive, check both before you start.

How They Actually Work

Super Whisper is built for users who want control. It can run fully offline using local Whisper models, supports multiple languages with automatic detection, and offers enough configuration options to satisfy any power user. The app lives quietly in your menu bar, activating with a customizable keyboard shortcut.

The downside? All that flexibility creates complexity. Super Whisper isn't hard to use, but it's not exactly plug-and-play either. You'll spend time choosing models, tweaking settings, and learning which configurations work best for your voice and use case. Some users find this empowering. Others find it exhausting.

Wispr Flow prioritizes polish over control. Its AI doesn't just transcribe. It edits. Say "um" fifty times and it'll quietly remove them all. Ramble incoherently and it'll restructure your thoughts into something readable. There's even a whisper mode for dictating in quiet environments without disturbing others.

The app adapts its output style based on context. Dictate in Slack and you get casual. Dictate in Gmail and you get professional. It's clever, sometimes unnervingly so. But it also means you're trusting an AI to interpret what you meant, not just what you said.

Speed and Accuracy

Super Whisper's speed depends entirely on which AI model you choose. Smaller models are fast but less accurate. Larger models are more precise but take longer to process. OpenAI's Whisper repository lists the range: the tiny model has 39 million parameters and needs about 1 GB of VRAM, the large model has 1,550 million and needs about 10 GB. On my M2 MacBook Air, the largest model added a noticeable delay, nothing dramatic, but enough to break the flow during rapid-fire dictation.

Wispr Flow is consistently fast. The cloud processing adds minimal latency, and the AI cleanup happens almost instantaneously. But I noticed occasional issues with sentence structure. The output would be grammatically correct but oddly phrased, requiring manual tweaks.

Technical vocabulary is where custom word lists matter. Programming terms, product names and domain jargon are the words any speech model gets wrong first. Super Whisper has custom vocabulary and text replacements. Wispr Flow learns names and jargon and has a dictionary. Add your terms early in either app.

Pricing and Platforms

Both apps now run on Mac, Windows, iPhone and Android, and both have a free plan (checked September 2026). Super Whisper Pro costs $8.49 a month, $84.99 a year or $249.99 once for a lifetime licence; new users get 3,000 words of Pro before falling back to the free plan, which keeps local models. Wispr Flow Pro costs $15 a month, or $12 a month billed yearly; its free plan allows 2,000 words a week on desktop. If you dictate a lot and want to pay once, Super Whisper's lifetime licence is the cheaper path over time.

FeatureSuper WhisperWispr Flow
ProcessingLocal / OfflineCloud-based
PrivacyData stays on deviceData sent to servers
SetupComplex, configurableSimple, opinionated
Output StyleRaw transcriptionAI-polished
SpeedVaries by modelConsistently fast
Technical TermsCustom vocabularyDictionary, learns jargon
Price$8.49/month, $249.99 lifetime$15/month, $12/month yearly

Who Should Use What

Choose Super Whisper if privacy is non-negotiable, if you enjoy tweaking settings, if you need offline operation, or if you would rather pay once than subscribe.

Choose Wispr Flow if you want polished output without effort, if you dictate primarily in natural language, and if you're comfortable with cloud processing. The whisper mode is genuinely useful for open offices.

There's a Third Option

Here's what struck me after three weeks: both apps solve voice dictation reasonably well. If you also need translation or a single account across Mac, Windows and iPhone, a third app is worth a look.

Ahsk takes a different approach. Hold fn to dictate into any app with a text cursor, or tap it for hands-free. It transcribes with Whisper large-v3 in the cloud, then a second model adds punctuation, removes filler words and applies a voice mode such as Informal or Mail. Hold fn + Shift and it translates into 50+ languages as you speak. A personal dictionary keeps names and jargon right. It is free for 10,000 words, then €9.99 a month for Mac, Windows and iPhone together.

It's not a perfect comparison. Ahsk needs internet and has no offline mode, so Super Whisper wins if audio must stay on your Mac. Wispr Flow runs on Android, which Ahsk does not. Ahsk's audio is not stored on its servers and is not used for training.

CapabilitySuper WhisperWispr FlowAhsk
Voice DictationYesYesYes
TranslationNoNo50+ languages
Text RewritingNoLimitedFull AI rewrite
Screenshot AnalysisNoNoYes
Developer ToolsCustom vocabularyDictionaryPersonal dictionary
Free TierFree plan, 3,000 Pro words2,000 words/week10,000 free words
Starting Price$8.49/mo$15/mo ($12 yearly)€9.99/mo

The Verdict

Super Whisper and Wispr Flow are both competent voice dictation tools that reflect genuinely different philosophies about how software should work. Super Whisper bets on privacy and user control. Wispr Flow bets on AI polish and convenience. Neither bet is wrong. They're just different.

But voice dictation in isolation feels increasingly limiting. The most interesting question isn't which dictation app is best. It's what else you need around dictation: offline use, Android, translation, meeting notes. Pick the app that covers the rest of your list.

If you need offline operation, pick Super Whisper. If you want polished output with no setup and use Android, pick Wispr Flow. If you want translation while you dictate on Mac, Windows and iPhone, try Ahsk free.

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Frequently Asked Questions

Which is better: Super Whisper or Wispr Flow?

It depends on your priorities. Super Whisper is better for privacy-conscious users who want offline processing and configuration control. Wispr Flow is better for users who want polished, AI-cleaned output without manual editing. If you want translation while you dictate and one account across Mac, Windows and iPhone, Ahsk is free for the first 10,000 words.

Is Super Whisper better than Wispr Flow for coding and technical work?

Both let you teach them your words. Super Whisper has custom vocabulary and text replacements; Wispr Flow learns names and jargon and has a dictionary. Ahsk has a personal dictionary too, passed to the speech model when it transcribes.

Can Super Whisper work completely offline without internet?

Yes. Super Whisper can run local Whisper models, so dictation works without internet (superwhisper.com). Its FAQ notes that offline models run best on Apple silicon Macs. That suits strict privacy requirements, sensitive work, or unreliable connections.

How much does Super Whisper cost vs Wispr Flow?

Checked September 2026: Super Whisper Pro is $8.49 per month, $84.99 per year or $249.99 lifetime, with a free plan that keeps local models. Wispr Flow Pro is $15 per month or $12 per month billed yearly, with a free plan of 2,000 words a week on desktop. Ahsk is free for 10,000 words, no credit card required, then €9.99 per month.

Does Wispr Flow store my voice recordings?

Wispr Flow processes dictation in the cloud. Its privacy page says a Dictation Cloud Storage setting controls whether transcripts, audio and history are stored on its servers, and that you choose whether your dictation data may be used to train its models.

What is the best free voice dictation app for Mac?

macOS includes built-in dictation (System Settings → Keyboard → Dictation). It is free, and on Apple silicon general dictation is processed on the device. For cleaned-up text, Ahsk gives you 10,000 free words with punctuation, filler-word removal and translation into 50+ languages, in any app with a text cursor.

What is the best alternative to Super Whisper and Wispr Flow?

Ahsk is a cloud dictation app for Mac, Windows and iPhone on one account. It transcribes with Whisper large-v3, cleans up punctuation and filler words, translates into 50+ languages as you speak, and records meeting notes. It is free for 10,000 words, then €9.99 per month.

Which voice dictation app has the fastest transcription speed?

No vendor publishes an independent speed test, so try them on your own Mac. Wispr Flow and Ahsk transcribe in the cloud, so speed depends on your connection. Super Whisper's local speed depends on the model: larger Whisper models are slower but more accurate.

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