User Evaluation and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. User Evaluation: AI research workspace that transcribes interviews in dozens of languages and turns them into cited insights, clips, charts, and reports. 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 User Evaluation when transcribing and analyzing multilingual research interviews 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 research workspace that transcribes interviews in dozens of languages and turns them into cited insights, clips, charts, and reports.
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.
User Evaluation 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 | User Evaluation | joinly |
|---|---|---|
| Core capability | Transcription in dozens of languages with speaker labels and custom vocabulary | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Multimodal input support for audio, video, text, PDF, and CSV | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Agentic AI chat that cites evidence and identifies pain points and themes | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Automatic tagging of mentions and visual summaries | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Exportable outputs: MP4 clips, charts, PDF/DOCX reports, and PPTX decks | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Interview scheduling, recording, and live note-taking | Docker-based self-hosting with optional CUDA GPU image |
User Evaluation
Choose User Evaluation if you need transcribing and analyzing multilingual research interviews — strengths include evidence-cited ai analysis keeps insights traceable to sources.
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.
User Evaluation
joinly
It depends on your workflow. User Evaluation is strong for transcribing and analyzing multilingual research interviews, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
User Evaluation 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.