Augnito: Augnito is a voice AI platform for clinical documentation, offering medical speech-to-text dictation and an ambient AI scribe that turns clinician-patient conversations into structured notes. aTrain: Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Augnito when clinicians dictating reports, discharge summaries, and imaging notes hands-free matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Try them side by side on real calls before deciding — needs vary by team.
Augnito is a voice AI platform for clinical documentation, offering medical speech-to-text dictation and an ambient AI scribe that turns clinician-patient conversations into structured notes.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
Augnito is a healthcare voice AI company (founded 2020, co-developed with Scribetech) focused on clinical documentation. Its two main products are Augnito Spectra, a medical speech-to-text engine for real-time dictation and voice commands, and Augnito Omni, an ambient AI scribe that captures clinician-patient conversations and structures them into EMR-ready notes such as SOAP notes. Capture is microphone-based: clinicians dictate directly, or Omni listens ambiently to natural conversation, with no voice-profile training required. The vendor states accent-agnostic recognition across 55+ clinical specialties, with Omni supporting 37+ languages. It is delivered as cloud-based SaaS and runs on desktop workstations, a mobile app, and a Chrome browser extension, with an on-premises deployment option for Spectra. Augnito integrates with third-party EMR/EHR, RIS, and PACS systems (including Epic and Cerner) without requiring native integration, and includes a Smart Editor plus customizable templates. It holds HIPAA, SOC 2 Type II, and ISO 27001 certifications. It is intended for doctors, radiologists, GPs, nurses, surgeons, and healthcare enterprises.
Best suited for
aTrain is a free, open-source desktop application for offline speech transcription, developed by researchers at the Business Analytics and Data Science Center of the University of Graz in Austria. It provides a graphical interface around OpenAI's Whisper model (via the faster-whisper implementation) so users with no programming experience can transcribe recorded meetings, interviews, lectures, and other audio. Because all processing happens locally on the user's own computer, no audio or text is uploaded to any server, which makes it well suited to privacy-sensitive and GDPR-conscious environments such as universities, public institutions, and research teams. aTrain supports a wide range of languages and adds speaker detection through pyannote.audio so contributions from different participants can be separated. Transcripts can be exported in formats compatible with qualitative-analysis software such as MAXQDA, ATLAS.ti, and NVivo. It runs on Windows (including a Microsoft Store distribution) with GPU acceleration on NVIDIA hardware, and is distributed under the AGPL-3.0 license. It is best for researchers, academics, and organizations that need accurate, local, no-cloud transcription of recorded conversations. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Augnito is custom pricing (contact sales); aTrain is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Augnito | aTrain |
|---|---|---|
| Core capability | Medical speech-to-text dictation with voice commands (Augnito Spectra) | Offline, fully local transcription with no data leaving the device |
| Standout feature | Ambient AI scribe that structures clinician-patient conversations into notes (Augnito Omni) | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Accent-agnostic recognition with no voice-profile training, across 55+ clinical specialties | Speaker detection/diarization using pyannote.audio |
| Integrations | Multilingual ambient capture supporting 37+ languages | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Works with third-party EMR/EHR, RIS, and PACS without native integration | Graphical interface requiring no programming skills |
| Best-fit workflow | Customizable templates and SOAP-note formats with a built-in Smart Editor | NVIDIA GPU acceleration support |
Augnito
Choose Augnito if you need clinicians dictating reports, discharge summaries, and imaging notes hands-free — strengths include specialized for healthcare with broad emr/ehr/ris/pacs compatibility and no native integration required.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
Augnito
aTrain
It depends on your workflow. Augnito is strong for clinicians dictating reports, discharge summaries, and imaging notes hands-free, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
Augnito is custom pricing and aTrain is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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