RadMyk vs Augnito: Modern cloud voice AI or local ownership

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. 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 with no subscription, with 95.7% 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: choose Augnito if you want a broad cloud voice-AI suite with specialty models, mobile and web options, API paths, and ambient AI. Choose RadMyk if you want radiology dictation that is local, private, owned, and not billed every month.

What is the main difference between RadMyk and Augnito?

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 a better fit when the buyer wants a managed platform with cloud services and a wider roadmap. RadMyk is a better fit when the buyer wants to own the core dictation tool and keep audio on the machine.

Both products are radiologist-aware. They are built with the reporting context in mind. They disagree on the business model and the architecture.

How do the features compare?

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.

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.

How much does Augnito cost compared with RadMyk?

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: 14 days for everyone, another 14 days for verified radiologists, 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 a one-time purchase 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 work offline or keep audio local?

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 simple with RadMyk: transcription runs on the machine. With Augnito, the standard cloud path sends audio to the vendor cloud, with GDPR compliance and NHS framework positioning. That may be right for many organizations. It is still a different architecture.

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.

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.

Should I choose RadMyk or Augnito?

Choose Augnito if you want a modern cloud voice-AI suite with broad platform support, macros, templates, specialty models, API options, and ambient AI features. It is one of the more radiologist-aware subscription products.

Choose RadMyk if your priority is owning dictation, keeping audio on-device, working offline, and typing into any app without an enterprise sales process.

The fair summary is this: Augnito has breadth, international presence, and a wider voice-AI roadmap. RadMyk has local processing, one-time ownership, native Mac support, and a smaller job it does deliberately.

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