Yating and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Yating: Taiwan-built AI speech-to-text app for classes, meetings, and interviews, optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching. 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. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist Yating when students transcribing lectures and classes in mandarin or mixed mandarin-english matters most, and joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Taiwan-built AI speech-to-text app for classes, meetings, and interviews, optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching.
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.
Yating 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 | Yating | joinly |
|---|---|---|
| Core capability | Live microphone transcription plus transcription of recorded and uploaded files | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Support for Mandarin, Taiwanese, English, Japanese, and Cantonese | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Speaker identification with timestamps | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Subtitle mode for accessibility | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Cross-platform: mobile, web, and Chrome plugin | Docker-based self-hosting with optional CUDA GPU image |
Yating
Choose Yating if you need students transcribing lectures and classes in mandarin or mixed mandarin-english — strengths include strong handling of taiwanese-accent mandarin and chinese-english code-switching.
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.
Yating
joinly
It depends on your workflow. Yating is strong for students transcribing lectures and classes in mandarin or mixed mandarin-english, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Yating 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.