Lucy by Parami AI and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Lucy by Parami AI: Hong Kong AI meeting assistant from Parami AI built for Cantonese-English meetings with transcription, summaries, and translation. 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 Lucy by Parami AI when documenting multilingual cantonese-english corporate meetings in hong kong 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.
Hong Kong AI meeting assistant from Parami AI built for Cantonese-English meetings with transcription, summaries, and translation.
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.
Lucy by Parami AI 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 | Lucy by Parami AI | joinly |
|---|---|---|
| Core capability | Real-time transcription with speaker identification | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Intelligent summaries capturing decisions and action points | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Support for 10+ languages including Cantonese, Mandarin, and English | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Specialized handling of Cantonese-English code-switching | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Multi-language real-time translation | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Enterprise-grade security with local deployment options | Docker-based self-hosting with optional CUDA GPU image |
Lucy by Parami AI
Choose Lucy by Parami AI if you need documenting multilingual cantonese-english corporate meetings in hong kong — strengths include purpose-built for hong kong's cantonese-english meeting environment.
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.
Lucy by Parami AI
joinly
It depends on your workflow. Lucy by Parami AI is strong for documenting multilingual cantonese-english corporate meetings in hong kong, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Lucy by Parami AI 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.