EkaScribe: EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions. 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 EkaScribe when doctors generating clinical notes and summaries automatically from patient consultations matters most, and aTrain when universities and public bodies needing gdpr-friendly local transcription matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions.
Open-source offline transcription tool from the University of Graz that turns recorded meetings and interviews into text using Whisper and speaker detection.
EkaScribe is an AI-powered medical scribe developed by Eka Care, built for doctors and clinicians. It captures clinical consultations through live in-app voice recording or audio file upload, then transcribes the speech and converts it into structured clinical documentation such as consultation summaries, SOAP notes, and prescriptions rather than producing plain transcripts. The tool is built on Eka Care's in-house "Parrotlet" model and is designed for medical accents and noisy clinical environments, supporting 20+ languages including English, Hindi, Bengali, Telugu, Tamil, Marathi, Gujarati, Kannada, Malayalam, Punjabi, and Urdu, and handling code-mixed speech where doctors switch between English and regional languages. It is available as a web application, a Chrome extension, and a mobile app (Google Play). The Chrome extension enables one-click insertion of generated notes into web-based EMR systems, with clipboard copy-paste for offline systems, and it integrates with Eka Care's own Eka Doc EMR. It is aimed at doctors across specialties, with a particular focus on the Indian healthcare market.
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
EkaScribe is a free tier with paid upgrades (freemium); aTrain is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | EkaScribe | aTrain |
|---|---|---|
| Core capability | Ambient/live voice recording and audio file upload capture | Offline, fully local transcription with no data leaving the device |
| Standout feature | Converts speech into structured clinical notes, SOAP notes, summaries, and prescriptions | Built on OpenAI Whisper via the faster-whisper engine |
| Team usage | Multilingual support for 20+ languages including code-mixed English and regional Indian languages | Speaker detection/diarization using pyannote.audio |
| Integrations | Built on Eka Care's in-house 'Parrotlet' AI model tuned for medical accents and noisy clinical settings | Exports compatible with MAXQDA, ATLAS.ti, and NVivo |
| Languages & capture | Chrome extension for one-click note insertion into web-based EMR systems | Graphical interface requiring no programming skills |
| Best-fit workflow | Available on web, Chrome extension, and Android mobile app | NVIDIA GPU acceleration support |
EkaScribe
Choose EkaScribe if you need doctors generating clinical notes and summaries automatically from patient consultations — strengths include purpose-built for clinical documentation, producing emr-ready structured notes rather than raw transcripts.
aTrain
Choose aTrain if you need researchers transcribing recorded interviews for qualitative analysis — strengths include free and open source under agpl-3.0.
EkaScribe
aTrain
It depends on your workflow. EkaScribe is strong for doctors generating clinical notes and summaries automatically from patient consultations, while aTrain is strong for researchers transcribing recorded interviews for qualitative analysis. Both transcribe and summarize meetings.
EkaScribe is a free tier with paid upgrades 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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