Maestra and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Maestra: AI platform for transcription, subtitles, dubbing, and live captioning across many languages. 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 Maestra when generating multilingual subtitles for video content 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.
AI platform for transcription, subtitles, dubbing, and live captioning across many languages.
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.
Maestra 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 | Maestra | joinly |
|---|---|---|
| Core capability | AI transcription with speaker detection, punctuation, and timestamps | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Automatic subtitle and caption generation with editing tools | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Translation of transcripts and subtitles across many languages | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Real-time live transcription for meetings, webinars, and streams | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Integrations with live and meeting platforms such as Zoom and Microsoft Teams | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | AI transcription with speaker detection, punctuation, and timestamps | Docker-based self-hosting with optional CUDA GPU image |
Maestra
Choose Maestra if you need generating multilingual subtitles for video content — strengths include covers both on-demand and real-time transcription needs.
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.
Maestra
joinly
It depends on your workflow. Maestra is strong for generating multilingual subtitles for video content, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Maestra 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.