Koji and Meetily are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. Meetily: Open-source, privacy-first AI meeting assistant that records, transcribes, and summarizes meetings entirely on your own device. 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 Koji when running exploratory discovery interviews without scheduling live calls matters most, and Meetily when privacy-conscious teams that need meeting notes without sending audio to the cloud matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI interviewer that runs asynchronous voice and text discovery conversations at scaleAI research agent that drafts research goals and interview guides from a briefAutomatic per-interview analysis with key moments and sentiment
Open-source, privacy-first AI meeting assistant that records, transcribes, and summarizes meetings entirely on your own device.
AI summaries highlighting key decisions and action itemsBot-free capture via system audio (no visible meeting participant)Customizable summary templates and Markdown export
Koji is a free tier with paid upgrades (freemium); Meetily is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Insights traceable back to specific participant quotes
Local, on-device recording, transcription, and summarization
Standout feature
AI interviewer that runs asynchronous voice and text discovery conversations at scale
Bot-free capture via system audio (no visible meeting participant)
Team usage
AI research agent that drafts research goals and interview guides from a brief
Works across Google Meet, Zoom, Microsoft Teams, Discord, and in-person meetings
Integrations
Automatic per-interview analysis with key moments and sentiment
AI summaries highlighting key decisions and action items
Languages & capture
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Customizable summary templates and Markdown export
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Open-source (MIT licensed) with self-hosting option
Best for
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
Meetily
Choose Meetily if you need privacy-conscious teams that need meeting notes without sending audio to the cloud — strengths include strong privacy posture since audio and processing stay on the user's device.
Pros & cons
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- AI-moderated async format is less suited to deep rapport-driven live interviews
Meetily
+ Strong privacy posture since audio and processing stay on the user's device
+ Open-source and self-hostable for full control
- Local processing depends on the user's own hardware for performance
FAQ
Is Koji or Meetily better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Meetily is strong for privacy-conscious teams that need meeting notes without sending audio to the cloud. Both transcribe and summarize meetings.
How do Koji and Meetily compare on price?
Koji is a free tier with paid upgrades and Meetily 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 Koji and Meetily?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.