Two well-reviewed dictation apps, built on opposite bets about where your voice should go

Wispr Flow and superwhisper get compared constantly because they solve the same surface problem — type by voice into any Mac app — from two different starting positions. Wispr Flow is cloud-first: your speech is processed on their servers, in exchange for a Notetaker, cross-device sync and a free tier with weekly limits. superwhisper is local-first: the transcription can run on your Mac, in exchange for you managing a heavier, more configurable app with a one-time purchase available if you want it. Neither is wrong. They're built for different answers to "where should this go," and this page checks both against their own sites rather than reputation.

Checked 6 September 2026 against wisprflow.ai/pricing and superwhisper.com.

The table

Where Wispr Flow wins

Android. superwhisper doesn't have it; Wispr Flow does, alongside Mac, Windows and iOS — the widest platform spread of the two.

Compliance paperwork, specifically. SOC 2 Type II, ISO 27001, and HIPAA-readiness with a signed Business Associate Agreement are stated plainly on Wispr Flow's site. If procurement is asking for those documents by name, Wispr Flow has already produced them; superwhisper's equivalent is scoped to its Enterprise tier.

MCP integration with Claude and ChatGPT. A specific, named hook into two widely used AI tools that superwhisper's page does not claim.

Where superwhisper wins

Offline, genuinely, not just as a fallback. superwhisper is built around local models running on the Mac, which Wispr Flow's cloud architecture cannot match regardless of price. If "does this work with no network" is the deciding question, this comparison ends here.

A one-time price exists at all. $249.99 once is more than four years of Wispr Flow's annual plan on paper, but it's a purchase rather than a subscription, and for someone who has decided they don't want another monthly line item, that's worth more than the arithmetic suggests.

Tone presets and named app integrations. Formal, Casual, Legal and Chat modes, plus stated support for Slack, Gmail, Cursor and Notion specifically — more configurable, out of the box, than Wispr Flow's page describes.

A more generous free tier for dictation itself. superwhisper's free plan states unlimited use of its Whisper-based model with no weekly word cap; Wispr Flow's free tier is capped at 2,000 words a week on desktop.

A third option, if neither shape fits

Both of these are considerably more software than a single hotkey. Wispr Flow is a cloud service with a Notetaker, cross-platform sync and enterprise compliance built in. superwhisper is a configurable local app with tone presets, API key management and its own meeting assistant. If what you actually wanted was neither of those — just a keypress that turns speech into text in the field you're already in, nothing uploaded, nothing to configure — that's the entire scope of Coii VoiceInput, and it costs $19 once rather than a monthly or yearly fee.

It has no meeting notetaker, no tone presets, no app-specific integrations and no Windows, Android or iOS version — it is narrower than both of the apps above on purpose. What it adds is that narrowness: one hotkey, an offline engine, a local history, and a price that stops changing once you've paid it.

The free tiers, read closely

Both companies offer a real free tier rather than a time-limited trial, and the shape of each free tier says something about the business underneath it. Wispr Flow's free plan is usable but metered — 2,000 words a week on desktop is roughly a page and a half of prose, generous for occasional dictation and noticeably tight for someone who talks through their inbox every morning. That ceiling exists because every word processed on the free tier still costs Wispr Flow a round trip to a server; a cloud architecture has a real marginal cost per word that a local one doesn't carry in the same way.

superwhisper's free tier, by contrast, states unlimited use of its own Whisper-based model, with the meter reserved for the extra AI features that sit on top of transcription — translation, tone rewriting, and access to larger cloud or local models beyond the included one. That's a direct consequence of running the core transcription locally: once the model is on your Mac, an extra word doesn't cost superwhisper a server call, so there's less reason to ration it. Reading the free tier of either app is, in a sense, reading its architecture.

Compliance paperwork versus a compliance posture

Wispr Flow's SOC 2, ISO 27001 and HIPAA-readiness are the kind of claims that matter specifically to a buyer who needs to hand a document to a security or compliance team — a healthcare practice, a regulated business, an enterprise procurement process that has a checklist and expects a certificate against each line of it. superwhisper's answer to the same conversation is different in kind rather than degree: local processing by default is itself a kind of compliance posture, since data that never leaves the machine has fewer categories of paperwork to produce in the first place, and superwhisper reserves its SOC 2 certification for the Enterprise tier specifically, where a larger customer is more likely to be asking for it directly. Neither approach is more correct in the abstract. A hospital's IT department is likely to want the certificates Wispr Flow already has ready; an individual who would rather the question of "where does this data go" not come up at all is better served by an app that doesn't send it anywhere to begin with.

What a day of dictation feels like on each architecture

The cloud-versus-local difference shows up most clearly in ordinary daily use rather than in the spec sheet. Wispr Flow's round trip to a server is typically fast and, on a good connection, close to unnoticeable — but it is a round trip, dependent on network conditions that vary through a normal day: a train, a hotel Wi-Fi network, a video call eating the same bandwidth. A local model has no such dependency; the transcription happens on the same Mac regardless of what the network is doing at that moment, which is a real advantage for anyone who works somewhere their connection isn't consistently good, not only for anyone worried about privacy specifically.

The trade runs the other way for updates and model quality. A cloud model can be swapped or improved server-side without the user doing anything; a local model update depends on the app shipping a new build and you installing it. Wispr Flow's page mentions "early access to advanced AI models" as a Pro benefit, which is the cloud side of that trade working in its favor — new capability arrives without a download.

What neither one does

Neither is a general transcription tool for files you already have — recordings, podcasts, interviews sitting on disk. Wispr Flow's page is about live dictation and live meetings; superwhisper's free and Pro tiers describe the same, with file transcription available but not the app's centre of gravity in the way it is for MacWhisper, a dedicated transcription workbench that both of these apps overlap with less than they overlap with each other. Neither one is a computer-control tool either — both convert speech to text and, in Wispr Flow's case, summarise meetings, but neither clicks a button or opens an app on command the way Talon does. And neither guarantees accuracy on unfamiliar names any more than any other speech recognition product does; that limitation is shared across the whole category; regardless of vendor.

The Notetaker and the meeting assistant, set side by side

Both apps have leaned into meetings as a second product surface layered on top of dictation, and they've built it differently. Wispr Flow's Notetaker is Mac-only today, with Windows explicitly announced as coming and mobile still on the roadmap — a single-platform feature inside a company whose core dictation product already spans four platforms, which tells you where their engineering priority has been. superwhisper's meeting assistant with automatic notes is included from the free tier, on a company whose core product is narrower to begin with. Neither vendor's page states how identifying speakers actually works under the hood for either product, so this page won't guess at accuracy for either — if speaker identification in a real meeting with real cross-talk is the deciding factor, that's worth testing directly with your own recordings before committing to either subscription.

What a growing team actually pays

Individual pricing is one question; a team is another. Wispr Flow's page describes centralized billing and usage analytics on Pro, with a named Growth/Enterprise tier starting at $18 per user per month annually for larger organisations — a fairly conventional per-seat SaaS structure. superwhisper's page names an Enterprise tier with centralized billing, model access controls and volume discounts, but doesn't publish a starting per-seat number the way Wispr Flow does, which makes a head-to-head team price harder to state precisely; a team evaluating both should ask superwhisper for a quote rather than assume its individual Pro price scales down proportionally. This is one of the few places where Wispr Flow's page is simply more specific than superwhisper's about what a growing team actually pays.

Reading a pricing page that resists being read

It's worth naming a practical difficulty encountered while writing this comparison: superwhisper's pricing is presented as an interactive anchor on its homepage rather than as a static page a search engine — or a person skimming quickly — can read in one pass, which is part of why third-party summaries of its pricing disagree with each other more often than they do for Wispr Flow's more conventional, static pricing page. The numbers in the table above were checked directly against superwhisper's own site rather than taken from a summary, but the format itself is worth knowing about if you go looking for confirmation yourself: expect to need to actually load and interact with the page, not just skim a cached version of it.

Opt-out defaults, read carefully

Wispr Flow's page states that model training can be opted out of at any time, which also means the default, absent action from the user, is opted in — a detail easy to miss when a feature is described as "you can turn this off" rather than "this is off unless you turn it on." superwhisper's page does not describe a training opt-out at all, because its architecture doesn't raise the same question in the same way: transcription runs locally by default, and Pro's own-API-key option puts you directly in control of which outside model, if any, ever sees your audio. Anyone who cares specifically about whether their voice trains somebody else's model should read this row of the table as the most consequential one in it, more than the price difference above it.

The student discount, and the free-plan word cap, set against each other

superwhisper's page lists a 40% student discount on Pro — a meaningful cut for anyone on a tight budget who's decided the free tier's limits, generous as they are for plain dictation, don't cover the AI features they actually want. Wispr Flow's page doesn't describe an equivalent student rate, though its free tier's 2,000-word weekly cap on desktop is itself the kind of limit a student dictating lecture notes and essay drafts is likely to hit before a working professional would, which quietly pushes exactly that audience toward Pro sooner than the headline "free plan" might suggest. Read together, the two policies say something about who each company expects its lighter users to be.

The fastest way to actually decide

Every row in the table above is a real, checkable fact, and none of them substitute for running your own test. Both companies offer a genuine free tier rather than a crippled demo, so the cheapest way to settle this comparison for yourself is to install both, dictate the same handful of real sentences — a Slack reply, a longer email, a note with an unusual name in it — into an app you use every day, and see which transcript needed fewer corrections. Pricing and platform lists narrow the field; only your own sentences, in your own apps, actually answer the accuracy question either page is silent on — and the answer is worth having before either subscription has taken a full year of payments from you.

What switching between any of these actually costs

None of the three read each other's formats, because none of them export a document in the ordinary sense — Wispr Flow and superwhisper both keep a history of dictated text and meeting notes inside their own apps, and this app's history is a local log rather than a project file. Moving from one to another costs you a trial period to judge accuracy in your own apps, and nothing more structural than that. None of them lock in a workflow you'd have to unwind.

Who should pick which

Pick Wispr Flow if you need Android support, you want compliance paperwork already prepared for you, or cross-device sync with a cloud backend is what you're actually shopping for.

Pick superwhisper if offline processing is close to a requirement, you want tone presets and named app integrations out of the box, or you'd rather pay once — $249.99 — and be done.

Pick Coii VoiceInput if you want the smallest possible version of this category: one hotkey, nothing uploaded, a local history, and $19 that you pay one time.

For the direct comparisons: Coii VoiceInput vs Wispr Flow and Coii VoiceInput vs superwhisper each go deeper on one of these two apps against this one. For the other local-first pairing in this category, see MacWhisper vs superwhisper.

Pricing is one line and the download is thirty days, every feature, no card.