CaptionKit: CaptionKit is an AI-powered platform that generates real-time captions and multilingual translations for live spoken sessions, built primarily for churches and faith-based services. 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. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CaptionKit when providing live captions for deaf and hard-of-hearing attendees during services or events matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
CaptionKit is an AI-powered platform that generates real-time captions and multilingual translations for live spoken sessions, built primarily for churches and faith-based services.
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.
CaptionKit is a browser-based platform that produces live, AI-generated captions and translations during spoken sessions, designed primarily for churches and other faith-based organizations serving deaf, hard-of-hearing, and multilingual audiences. A host starts a captioning session from the web dashboard, and the system transcribes speech in 65+ languages and translates it into 85+ languages, including a bilingual English and Spanish mode. Attendees follow along by joining a shared web link or QR code, or through the free iOS and Android apps; captions can also be displayed on screen as lower-third overlays or full-screen scrolling text. It integrates with common presentation and streaming software including ProPresenter, OBS, vMix, FreeShow, and Worship Extreme, and supports automation via cURL and Bitfocus Companion. Accuracy can be improved with boosted keywords for names and uncommon terms, and the platform records session history. No installation is required, making it suited to live in-person or streamed events where on-screen accessibility and language access matter.
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
CaptionKit is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CaptionKit | joinly |
|---|---|---|
| Core capability | Real-time AI speech-to-text captioning in 65+ languages | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Live translation into 85+ languages, including bilingual English/Spanish mode | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Attendee access via web link, QR code, or free iOS and Android apps | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | On-screen display options (lower-third overlays, full-screen scrolling captions) | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Integrations with ProPresenter, OBS, vMix, FreeShow, and Worship Extreme | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Boosted keywords to improve accuracy for names and uncommon terms | Docker-based self-hosting with optional CUDA GPU image |
CaptionKit
Choose CaptionKit if you need providing live captions for deaf and hard-of-hearing attendees during services or events — strengths include browser-based with no installation required for hosts or attendees.
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.
CaptionKit
joinly
It depends on your workflow. CaptionKit is strong for providing live captions for deaf and hard-of-hearing attendees during services or events, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
CaptionKit is a free tier with paid upgrades 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.
More head-to-head comparisons involving CaptionKit and joinly.
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