Speech to Note and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speech to Note: Cross-platform tool that converts speech into transcripts and customizable summaries using a large library of note formats. 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 Speech to Note when transcribing and summarizing meetings in a chosen format 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.
Cross-platform tool that converts speech into transcripts and customizable summaries using a large library of note formats.
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.
Speech to Note 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 | Speech to Note | joinly |
|---|---|---|
| Core capability | Speech-to-text transcription across 100+ languages | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Large library of smart note and summary formats | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Custom summary template creation | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Webhook-based workflow automation | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Offline recording on mobile with cross-device sync | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Multiple output and export formats with privacy controls | Docker-based self-hosting with optional CUDA GPU image |
Speech to Note
Choose Speech to Note if you need transcribing and summarizing meetings in a chosen format — strengths include highly customizable summary formats and templates.
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.
Speech to Note
joinly
It depends on your workflow. Speech to Note is strong for transcribing and summarizing meetings in a chosen format, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Speech to Note 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.