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. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Augnito when clinicians dictating reports, discharge summaries, and imaging notes hands-free matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis 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, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
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
WhisperLiveKit is an open-source, self-hosted toolkit for ultra-low-latency real-time speech-to-text and speaker diarization. Rather than naively running Whisper on each audio chunk, it uses state-of-the-art simultaneous-speech research for intelligent buffering and incremental processing, which preserves transcription quality while streaming results with minimal latency. The project ships a complete backend built on FastAPI with WebSocket support, an OpenAI-compatible REST API, a Deepgram-compatible WebSocket protocol, and a simple, customizable HTML and JavaScript web interface that captures microphone audio and streams it to the server. It supports multiple ASR backends including Whisper variants, Voxtral, and Qwen3-ASR, covers 200+ languages with translation, and includes real-time speaker diarization and voice activity detection to reduce processing overhead. It can handle multiple concurrent users on a single backend and is distributed via PyPI with Docker images for both GPU and CPU. Licensed under Apache 2.0 and actively maintained into 2026, the project explicitly lists meeting transcription, accessibility tooling, and podcast or call transcription with speaker identification among its intended use cases, making it a practical building block for private, on-premise meeting transcription pipelines. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Augnito is custom pricing (contact sales); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Augnito | WhisperLiveKit |
|---|---|---|
| Core capability | Medical speech-to-text dictation with voice commands (Augnito Spectra) | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Ambient AI scribe that structures clinician-patient conversations into notes (Augnito Omni) | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Accent-agnostic recognition with no voice-profile training, across 55+ clinical specialties | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Multilingual ambient capture supporting 37+ languages | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Works with third-party EMR/EHR, RIS, and PACS without native integration | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Customizable templates and SOAP-note formats with a built-in Smart Editor | Voice activity detection and multi-user support on a single backend |
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.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Augnito
WhisperLiveKit
It depends on your workflow. Augnito is strong for clinicians dictating reports, discharge summaries, and imaging notes hands-free, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Augnito is custom pricing and WhisperLiveKit 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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