Speechmatics and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speechmatics: Speech-to-text and voice AI provider offering real-time transcription and live captioning APIs. 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 Speechmatics when adding live captions to broadcasts, sports, and events 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.
Speech-to-text and voice AI provider offering real-time transcription and live captioning APIs.
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.
Speechmatics 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 | Speechmatics | joinly |
|---|---|---|
| Core capability | Speech-to-text transcription for recorded and real-time audio | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Low-latency real-time processing for live use | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Live captioning for events, broadcasts, and streams | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Multi-speaker and multilingual support across many languages | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | APIs for embedding transcription into other applications | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Speech-to-text transcription for recorded and real-time audio | Docker-based self-hosting with optional CUDA GPU image |
Speechmatics
Choose Speechmatics if you need adding live captions to broadcasts, sports, and events — strengths include real-time, low-latency transcription suitable for live captioning.
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.
Speechmatics
joinly
It depends on your workflow. Speechmatics is strong for adding live captions to broadcasts, sports, and 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.
Speechmatics 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.