Koji and Yating 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. Yating: Taiwan-built AI speech-to-text app for classes, meetings, and interviews, optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching. 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 Yating when students transcribing lectures and classes in mandarin or mixed mandarin-english 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
Taiwan-built AI speech-to-text app for classes, meetings, and interviews, optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching.
API access for batch processing and ASRCross-platform: mobile, web, and Chrome pluginLive microphone transcription plus transcription of recorded and uploaded files
Koji is a free tier with paid upgrades (freemium); Yating is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI interviewer that runs asynchronous voice and text discovery conversations at scale
Live microphone transcription plus transcription of recorded and uploaded files
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Optimized for Taiwanese-accent Mandarin and Mandarin-English code-switching
Team usage
Automatic per-interview analysis with key moments and sentiment
Support for Mandarin, Taiwanese, English, Japanese, and Cantonese
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Speaker identification with timestamps
Languages & capture
Insights traceable back to specific participant quotes
Subtitle mode for accessibility
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Cross-platform: mobile, web, and Chrome plugin
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.
Yating
Choose Yating if you need students transcribing lectures and classes in mandarin or mixed mandarin-english — strengths include strong handling of taiwanese-accent mandarin and chinese-english code-switching.
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
Yating
+ Strong handling of Taiwanese-accent Mandarin and Chinese-English code-switching
+ Privacy-focused with locally developed models and a no-data-selling stance
- Language strengths are centered on Taiwan-region languages rather than broad global coverage
FAQ
Is Koji or Yating better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Yating is strong for students transcribing lectures and classes in mandarin or mixed mandarin-english. Both transcribe and summarize meetings.
How do Koji and Yating compare on price?
Koji is a free tier with paid upgrades and Yating 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 Yating?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.