RadMyk vs Augnito: pricing, features, and who each fits

Augnito is one of the strongest modern competitors in medical voice AI. It is cross-platform, radiologist-friendly, and popular in markets where many older US-centered tools have less reach. If your shortlist still includes the legacy incumbents, our broader PowerScribe alternatives guide maps the rest of the field. A fair comparison should say that up front.

The question is not whether Augnito is a capable product. It is. The question is whether you want a cloud voice-AI subscription with a broad feature set, or a private dictation tool that you buy once and run on your own machine.

RadMyk takes the second path. It is a one-time purchase of $199 for the first 100 users (₹14,999 in India), with 96.1% measured word accuracy and roughly 220 words per minute transcription speed. It runs on-device, works offline after setup, and types into any app where the cursor is active.

The short answer: for radiologists who want fast, private dictation, RadMyk is the stronger fit. It is local, owned, and not billed every month. It also deploys cleanly at scale, because a local install means no shared cloud accounts to provision, central license control to grant or revoke access, and a one-time cost a finance team can book as a capital investment. Augnito is the better call when you specifically need its broad cloud feature set: ambient AI, API embedding, mobile and web apps, and dozens of specialty models.

RadMyk vs Augnito: what is each one built for?

Augnito is a cloud medical voice-AI suite. RadMyk is a local dictation tool for radiologists. Augnito gives organizations a broad product family: front-end dictation, browser and mobile options, APIs, vendor embedding, and ambient AI. RadMyk gives the individual radiologist a private speech-to-text layer that types at the cursor.

That is not a small distinction. Augnito is the better fit when the requirement is a broad cloud suite: ambient AI, API embedding, and a wider roadmap. RadMyk is the better fit when the requirement is dictation itself, owned and private, whether that is one radiologist or an entire department that wants local installs, central license control, and no recurring bill.

Both products are radiologist-aware. They are built with the reporting context in mind. They disagree on the business model and the architecture. If you are surveying the wider category, our medical dictation software buyer’s guide walks through how these tools compare.

Where the feature sets overlap, and where they don’t

Augnito, from Scribetech, is a medical voice-AI suite with real-time dictation and ambient AI scribe products. Scribetech has more than 20 years of NHS transcription experience, and Augnito has strong presence across the UK, India, and the Middle East. The product is marketed heavily to radiologists.

The public claims are strong: more than 15,000 users, more than 100 million minutes, over 55 specialty language models, and 99.3 percent out-of-the-box accuracy. Augnito’s product set includes Spectra for front-end dictation, Voice Services for API and SDK embedding inside third-party RIS, PACS, and EPR tools, and Ambient/Omni for newer AI scribe workflows.

Augnito’s features are broad. It uses a proprietary cloud medical model, supports real-time transcription, handles global English accents, and includes specialty models including radiology. It offers unlimited macros, custom templates, personal vocabulary, and Smart Editor auto-formatting. Its overlay model can dictate into “any clinical software” without native integration. The SDK and API give vendors a way to speech-enable their own platforms. Omni adds ambient notes, letters, CDI feedback, ICD-10 and SNOMED coding, translation, and a UK-trained LLM. If you are weighing those ambient features, it helps to understand how an AI scribe differs from dictation for radiology before deciding which you actually need.

That is a strong package, especially for teams that want dictation plus ambient or platform integration options.

RadMyk is more focused. It is a floating medical dictation widget for radiologists. Press a global keyboard shortcut, speak, watch the live transcript, pause, and RadMyk pastes the text at the cursor. It works anywhere you can type: EHR, report editor, PACS/RIS field, Notes, browser, or local document.

RadMyk runs a medical speech model fully on-device, so your voice never leaves your machine and no audio is sent to a cloud. A guided calibration step tunes the model to your voice, and voice macros speed up the phrasing you repeat. It supports configurable shortcut, pause-before-paste timing, auto-paste or clipboard-only mode, compute device settings, and a webhook for transcription events.

Augnito has the wider voice-AI suite. RadMyk is built for private, owned dictation.

Is Augnito better for teams that want ambient AI?

Yes, if ambient AI is part of the buying requirement. Augnito’s Omni product moves beyond direct dictation into ambient notes, letters, CDI feedback, ICD-10 and SNOMED coding, translation, and a UK-trained LLM. That is a different category of work from typing dictated report text into the active field.

RadMyk is not an ambient scribe. It does not listen to a consultation and infer a note. It does not summarize a clinical conversation. It does not generate billing codes. That restraint is intentional. RadMyk writes what the radiologist dictates, where the radiologist is already working.

For some organizations, Augnito’s wider suite is the point. A hospital, reporting vendor, or regional group may want voice services embedded into its own software, or a broader AI documentation program. In that case, Augnito has a stronger product surface.

For a radiologist who wants private dictation for reports, the extra platform can become less relevant than ownership, offline use, and Mac support.

Augnito pricing vs RadMyk: what will you pay over time?

Augnito pricing is quote-based. Its pricing page redirects to a contact sales form, and there are no published self-serve tiers in the brief. The model is per-user, recurring, and typically unlimited usage minutes. A third-party aggregator estimates roughly $50 to $200 per user per month, but that is not Augnito-published pricing and should be treated only as indicative.

There may also be enterprise costs for implementation, integration, or training, but the brief does not provide official numbers, so we will not invent them. The clear point is that Augnito is a recurring subscription with quote-based pricing.

RadMyk is one-time pay. You buy the tool and own it. No per-provider monthly fee. No per-word usage. No license renewal to keep speaking into reports. The trial model is plain: 28 days for everyone, and free access for trainees until they qualify.

Using the third-party Augnito estimate only as a directional range, $50 to $200 per user per month becomes $1,800 to $7,200 over three years. That is before any enterprise implementation, integration, or training costs, which are not public. RadMyk is $199 once over those three years, not a recurring fee.

Those are not Augnito-published prices, so they should not be treated as a quote. The reliable comparison is the model: Augnito is recurring and quote-based. RadMyk is owned.

For a hospital or vendor platform that wants a managed voice-AI suite, recurring per-user pricing may be acceptable. For a solo radiologist, a small practice, or a radiologist working across settings, years of monthly dictation fees add up.

Does Augnito need the internet, and where does your audio go?

Augnito deserves credit here. It is much more flexible than many legacy products. Spectra supports Windows desktop, web app, Chrome and Edge extensions, iOS and Android, and Citrix. It also has an on-prem option for stricter data needs. The overlay model can speed onboarding because a native integration is not required at the start. It also has named radiology integrations, including OpenRad, Hexarad, and Cimar, plus enterprise integrations such as NextGen, RamSoft, PaxeraHealth, and Magentus.

The trade-off is that Augnito is primarily cloud SaaS. The cloud product needs an active internet connection. Audio is sent to Augnito’s cloud, except in the on-prem option, which adds cost and IT involvement. Macros, templates, and vocabulary also live inside the vendor ecosystem, creating switching costs over time.

RadMyk is local first. It supports macOS Apple Silicon and Windows. After the one-time download of the on-device speech engine, it runs offline. There is no cloud round-trip, no latency from remote speech processing, and no vendor server receiving your audio.

RadMyk also avoids platform commitment. It is not locked to a contracted EHR, PACS, RIS, or vendor integration. It types at the cursor. That is less grand than a full AI suite, but it is often exactly what a radiologist needs during real work.

Privacy is simpler and stronger with RadMyk: transcription runs on the machine, so there is nothing to send and nothing to trust. Augnito’s standard cloud path sends audio to the vendor cloud, backed by GDPR compliance and NHS framework positioning. That is a reasonable compromise for an organization that needs the cloud suite, but it is a compromise. On-device removes the question entirely.

Which product fits teleradiology and mixed systems better?

Augnito is unusually flexible for a cloud product. Its browser extensions, web app, mobile apps, Windows desktop support, Citrix support, and overlay approach give it more reach than older workstation-bound products. For organizations that want a managed cloud voice system across many clinical tools, that matters.

RadMyk’s flexibility comes from a different place. It does not need a cloud account to process speech. It does not need the reporting vendor to support an API. It does not need a browser extension. It types at the cursor after processing the voice locally.

That difference is practical in teleradiology. A radiologist may read for one client through a browser tool, another through remote desktop, and another through a PACS/RIS window that was never designed for modern speech integration. The question is not only “does the product support my platform?” It is also “will dictation follow me into the field I am using now?”

Augnito has broader supported surfaces. RadMyk has a simpler dependency chain.

Does RadMyk work for enterprises and vendors?

Yes, and the local model is an advantage at scale, not a limitation. Because RadMyk installs on the machine rather than behind a cloud login, an organization has no shared accounts or passwords to provision, rotate, or offboard, and no vendor portal holding staff credentials. Licenses are controlled centrally: an enterprise can grant a license and revoke it when a radiologist should no longer have access, the same way you deprovision any owned software.

For teams that want oversight, enterprise accounts can include usage statistics and metrics on their licenses, kept private and end-to-end encrypted, available on request. And because there is no subscription, the cost books as a one-time capital investment a finance team can write off, rather than an operating expense that renews forever.

So the enterprise question is not whether RadMyk scales. It is whether you also need Augnito’s broader cloud suite on top of dictation. If you do, Augnito has more surface. If you mainly need radiologists across the organization to dictate privately, on their own machines, under your control, RadMyk does that without the recurring bill or the credential management.

Is RadMyk an Augnito alternative?

RadMyk is an Augnito alternative only if the job is direct medical dictation. It is not an alternative to Augnito’s full suite of voice services, API embedding, mobile strategy, or ambient AI products. If those are required, Augnito is the more complete choice.

If the job is radiology speech-to-text, the comparison becomes cleaner. RadMyk gives the radiologist local transcription, Mac and Windows support, cursor-based typing, voice macros, guided calibration, offline use, and one-time payment. It avoids the vendor cloud in the standard workflow.

That makes RadMyk a strong fit for radiologists who do not want dictation to become another account, renewal, and dependency.

So which fits your reading room: RadMyk or Augnito?

For individual radiologists, small practices, teleradiologists, and whole departments alike, RadMyk is the sensible default: you own dictation outright, audio stays on-device, it works offline, it runs natively on Mac and Windows, licenses are yours to grant and revoke, and it types into any app without an enterprise sales process or a recurring bill.

Augnito is the right call when you specifically need its broader cloud suite: ambient AI, API embedding, mobile and web apps, and dozens of specialty models. It is one of the more radiologist-aware subscription products, and for a buyer who wants that whole platform, the breadth is the point.

The honest summary: Augnito has feature breadth, international presence, and a wider cloud roadmap. RadMyk has local processing, one-time ownership, native Mac support, central license control, and a focused job it does deliberately, for one radiologist or a thousand.

Frequently asked questions

How much does Augnito cost per month?

Augnito does not publish a monthly price. Its pricing is quote-based and per-user, arranged through a sales contact rather than a self-serve tier. A third-party aggregator estimates roughly $50 to $200 per user per month, but that is not an Augnito-published figure and should be treated as indicative only. Across three years that indicative range works out to about $1,800 to $7,200 per user, before any implementation or training costs. RadMyk, by contrast, is a one-time purchase with no monthly fee.

Does Augnito offer a free trial?

Augnito access is arranged through its sales process rather than a public self-serve trial. RadMyk offers 28 days free for everyone, and free access for trainees until they qualify.

Is Augnito or RadMyk better for a solo radiologist?

For a solo radiologist or small practice, RadMyk is usually the better fit: it is one-time pay, runs on-device and offline, works on Mac and Windows, and types into any app. Augnito is the stronger pick when you specifically need its broader cloud suite: ambient AI, mobile and web apps, and dozens of specialty models. The medical dictation software buyer’s guide sets both in the wider landscape.

voice-to-text is a basic tool of the trade, not a premium you rent forever