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. OpenTranscribe: Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Augnito when clinicians dictating reports, discharge summaries, and imaging notes hands-free matters most, and OpenTranscribe when collaborative review of transcripts with time-stamped annotations matters most. Run both through a week of actual calls to see which suits your workflow.
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.
Self-hosted, containerized web app for transcribing and analyzing audio/video with WhisperX, speaker diarization, search, and collaboration.
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
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
Augnito is custom pricing (contact sales); OpenTranscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Augnito | OpenTranscribe |
|---|---|---|
| Core capability | Medical speech-to-text dictation with voice commands (Augnito Spectra) | WhisperX transcription with large-v3-turbo and 100+ language support |
| Standout feature | Ambient AI scribe that structures clinician-patient conversations into notes (Augnito Omni) | Automatic speaker diarization via PyAnnote v4 with overlap detection |
| Team usage | Accent-agnostic recognition with no voice-profile training, across 55+ clinical specialties | Full-text search and filtering powered by OpenSearch |
| Integrations | Multilingual ambient capture supporting 37+ languages | AI summarization, topic extraction, and content analysis via multiple LLM providers |
| Languages & capture | Works with third-party EMR/EHR, RIS, and PACS without native integration | Time-stamped comments for collaboration and annotation |
| Best-fit workflow | Customizable templates and SOAP-note formats with a built-in Smart Editor | Auto-import from local folders, S3, and SMB shares |
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.
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.
Augnito
OpenTranscribe
It depends on your workflow. Augnito is strong for clinicians dictating reports, discharge summaries, and imaging notes hands-free, while OpenTranscribe is strong for teams self-hosting a searchable archive of transcribed meeting and media recordings. Both transcribe and summarize meetings.
Augnito is custom pricing 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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