joinly and toruno are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. 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. toruno: Ricoh's Japanese meeting recording service combining transcription, audio recording, and screen capture for online and in-person meetings. 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 joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most, and toruno when japanese teams needing searchable records of meetings and business negotiations matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
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.
Ricoh's Japanese meeting recording service combining transcription, audio recording, and screen capture for online and in-person meetings.
joinly is a free tier with paid upgrades (freemium); toruno is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | joinly | toruno |
|---|---|---|
| Core capability | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents | Combined transcription, audio recording, and screen capture of meetings |
| Standout feature | Real-time transcription with timestamps and speaker information, subscribable for live updates | Real-time transcription via Windows desktop app, plus iPhone and file-upload capture |
| Team usage | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls | AI-generated summaries with customizable minutes templates |
| Integrations | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) | Japanese-first transcription with English and Chinese support on higher plans |
| Languages & capture | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama | Enterprise security: two-factor authentication and IP restrictions |
| Best-fit workflow | Docker-based self-hosting with optional CUDA GPU image | Per-user permission management over transcriptions |
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.
toruno
Choose toruno if you need japanese teams needing searchable records of meetings and business negotiations — strengths include screen capture alongside transcript preserves visual context from meetings.
joinly
toruno
It depends on your workflow. joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls, while toruno is strong for japanese teams needing searchable records of meetings and business negotiations. Both transcribe and summarize meetings.
joinly is a free tier with paid upgrades and toruno 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.