joinly and spf.io 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. spf.io: AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations. 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 spf.io when captioning and translating large in-person conferences across projectors and mobile devices 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.
AI captioning and translation platform for in-person, virtual, and hybrid events, supporting 100+ languages with broad streaming integrations.
joinly is a free tier with paid upgrades (freemium); spf.io is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | joinly | spf.io |
|---|---|---|
| Core capability | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents | Automatic live captions and translation in 100+ languages, with translated audio in 70+ |
| Standout feature | Real-time transcription with timestamps and speaker information, subscribable for live updates | Projector display of up to four languages plus mobile QR/URL attendee access |
| Team usage | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls | Integrations with Zoom, Teams, Google Meet, YouTube, OBS, StreamYard, vMix, and Twitch |
| Integrations | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) | Supervised/edited captioning and bidirectional translation modes |
| Languages & capture | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama | Vocabulary fine-tuning, custom speech recognition, and adapted translation models |
| Best-fit workflow | Docker-based self-hosting with optional CUDA GPU image | Optional professional captioners, interpreters, and remote operators as add-ons |
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.
spf.io
Choose spf.io if you need captioning and translating large in-person conferences across projectors and mobile devices — strengths include very broad language coverage for both captions and translated audio.
joinly
spf.io
It depends on your workflow. joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls, while spf.io is strong for captioning and translating large in-person conferences across projectors and mobile devices. Both transcribe and summarize meetings.
joinly is a free tier with paid upgrades and spf.io 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.