EkaScribe: EkaScribe is an AI medical scribe by Eka Care that records doctor-patient conversations and automatically generates structured clinical notes, summaries, and prescriptions. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist EkaScribe when doctors generating clinical notes and summaries automatically from patient consultations matters most, and OpenTranscribe when collaborative review of transcripts with time-stamped annotations 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.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
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
OpenTranscribe is a self-hosted, containerized web application for transcribing and analyzing audio and video files using current AI models. It is built with a FastAPI backend, a Svelte/TypeScript progressive web app frontend, and a Docker-based stack that includes PostgreSQL, Redis/Celery task queues, MinIO object storage, and OpenSearch for full-text indexing. Transcription is handled by WhisperX with the large-v3-turbo model and Faster-Whisper, supporting more than 100 languages, while automatic speaker diarization uses PyAnnote v4 with overlap detection. The project is licensed under AGPL-3.0 and is actively maintained, with v0.4.1 released in April 2026. Beyond transcription, OpenTranscribe provides AI-powered summarization (including BLUF-format and custom JSON schemas), topic extraction, and content analysis through multiple LLM providers such as OpenAI, Claude, vLLM, Ollama, and OpenRouter. Collaboration features include time-stamped comments and annotations, and the platform can automatically import media from local folders, S3, and SMB shares. It also supports a set of cloud ASR providers as alternatives to local transcription, giving teams flexibility between fully local processing and managed services while keeping the application running on their own infrastructure. Pricing varies by plan. Check the official website for current pricing.
Best suited for
EkaScribe is a free tier with paid upgrades (freemium); OpenTranscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | EkaScribe | OpenTranscribe |
|---|---|---|
| Core capability | Ambient/live voice recording and audio file upload capture | WhisperX transcription with large-v3-turbo and 100+ language support |
| Standout feature | Converts speech into structured clinical notes, SOAP notes, summaries, and prescriptions | Automatic speaker diarization via PyAnnote v4 with overlap detection |
| Team usage | Multilingual support for 20+ languages including code-mixed English and regional Indian languages | Full-text search and filtering powered by OpenSearch |
| Integrations | Built on Eka Care's in-house 'Parrotlet' AI model tuned for medical accents and noisy clinical settings | AI summarization, topic extraction, and content analysis via multiple LLM providers |
| Languages & capture | Chrome extension for one-click note insertion into web-based EMR systems | Time-stamped comments for collaboration and annotation |
| Best-fit workflow | Available on web, Chrome extension, and Android mobile app | Auto-import from local folders, S3, and SMB shares |
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.
OpenTranscribe
Choose OpenTranscribe if you need teams self-hosting a searchable archive of transcribed meeting and media recordings — strengths include fully self-hosted web app with a complete transcription-and-analysis stack.
EkaScribe
OpenTranscribe
It depends on your workflow. EkaScribe is strong for doctors generating clinical notes and summaries automatically from patient consultations, while OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings. Both transcribe and summarize meetings.
EkaScribe is a free tier with paid upgrades and OpenTranscribe 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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