NoteWave and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. NoteWave: An indie AI meeting assistant that records, transcribes, and summarizes meetings across Zoom, Teams, Google Meet, in-person, and uploaded audio. 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.
For ai-meeting-assistants workflows, shortlist NoteWave when capturing notes and action items from remote calls across zoom, teams, and google meet 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.
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.
Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls
Docker-based self-hosting with optional CUDA GPU image
MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents
NoteWave 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.
Records and transcribes meetings from Zoom, Microsoft Teams, Google Meet, browser, and mobile
MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents
Standout feature
Uploads and transcribes existing audio files (MP3, WAV, M4A)
Real-time transcription with timestamps and speaker information, subscribable for live updates
Team usage
Speaker identification and AI-generated summaries
Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls
Integrations
Automatic topic tagging and action-item detection
Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs)
Languages & capture
Assistant for querying past meetings in natural language
Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama
Best-fit workflow
Multilingual transcription support
Docker-based self-hosting with optional CUDA GPU image
Best for
NoteWave
Choose NoteWave if you need capturing notes and action items from remote calls across zoom, teams, and google meet — strengths include captures both online and in-person meetings plus uploaded audio in one tool.
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.
Pros & cons
NoteWave
+ Captures both online and in-person meetings plus uploaded audio in one tool
+ Not tied to a single conferencing platform
- Early-stage indie product from a small startup, so it is less battle-tested than established incumbents
joinly
+ Fully open source (MIT) and self-hostable for complete data control
+ Agents can actively participate by voice and chat, not just passively transcribe
- Developer-oriented framework that requires setup and engineering effort rather than a ready-made app
FAQ
Is NoteWave or joinly better for AI meeting notes?
It depends on your workflow. NoteWave is strong for capturing notes and action items from remote calls across zoom, teams, and google meet, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
How do NoteWave and joinly compare on price?
NoteWave 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.
Can I use both NoteWave and joinly?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.