Akkadu: Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content. 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. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Akkadu when adding multilingual live captions and subtitles to conferences, webinars, and hybrid events matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content.
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.
Akkadu, built by Akkadu Technology, is a platform for breaking down language barriers in live and recorded settings. It listens to a speaker's audio and produces real-time AI live captions and subtitles in more than 90 languages, and can deliver an AI voice translation that voices a speaker's words in another language. Beyond automated transcription and translation, Akkadu also offers remote simultaneous interpretation (RSI), connecting human interpreters to events, plus human live captioning for higher-accuracy needs. It is available as a desktop and web-based application and is designed to work alongside common video conferencing tools such as Zoom, Microsoft Teams, Webex, and Google Meet, as well as on-site and hybrid events. The company states it does not store voice data and gives users control to delete transcripts. Akkadu targets event organizers, conferences, corporate meetings, universities, content creators, and language service providers who need multilingual accessibility. It is offered on a pay-as-you-go hourly model with a free limited demo tier.
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
Akkadu 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 | Akkadu | joinly |
|---|---|---|
| Core capability | Real-time AI live captions and subtitles in 90+ languages | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | AI voice translation that voices a speaker into another language | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Remote simultaneous interpretation (RSI) with human interpreters | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Human live captioning option for higher accuracy | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Works with Zoom, Microsoft Teams, Webex, and Google Meet plus on-site/hybrid events | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Custom glossaries and accent recognition to improve accuracy | Docker-based self-hosting with optional CUDA GPU image |
Akkadu
Choose Akkadu if you need adding multilingual live captions and subtitles to conferences, webinars, and hybrid events — strengths include covers 90+ languages across captions, subtitles, interpretation, and voice translation.
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.
Akkadu
joinly
It depends on your workflow. Akkadu is strong for adding multilingual live captions and subtitles to conferences, webinars, and hybrid 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.
Akkadu 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.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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