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. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. 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 joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams 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.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
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
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Augnito is custom pricing (contact sales); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Augnito | joinly |
|---|---|---|
| Core capability | Medical speech-to-text dictation with voice commands (Augnito Spectra) | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Ambient AI scribe that structures clinician-patient conversations into notes (Augnito Omni) | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Accent-agnostic recognition with no voice-profile training, across 55+ clinical specialties | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Multilingual ambient capture supporting 37+ languages | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Works with third-party EMR/EHR, RIS, and PACS without native integration | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Customizable templates and SOAP-note formats with a built-in Smart Editor | Docker-based self-hosting with optional CUDA GPU image |
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.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Augnito
joinly
It depends on your workflow. Augnito is strong for clinicians dictating reports, discharge summaries, and imaging notes hands-free, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Augnito is custom pricing and joinly is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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