Koji and Subanana 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. Subanana: Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support. 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 Subanana when transcribing and summarizing cantonese-english meetings for hong kong teams 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
Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support.
Koji vs Subanana: Pricing, Features & Recommendation | Hosiqo
AI transcription and subtitle generation across 80+ languagesAutomatic speaker identificationMeeting transcription with automated summaries and action items
Koji is a free tier with paid upgrades (freemium); Subanana 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
AI transcription and subtitle generation across 80+ languages
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Strong handling of mixed Cantonese-and-English (code-switching) audio
Team usage
Automatic per-interview analysis with key moments and sentiment
Meeting transcription with automated summaries and action items
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Real-time voice transcription with live translation
Languages & capture
Insights traceable back to specific participant quotes
Automatic speaker identification
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Subtitle embedding and export to .srt, .docx, .csv, and .txt
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.
Subanana
Choose Subanana if you need transcribing and summarizing cantonese-english meetings for hong kong teams — strengths include built for the hong kong market with strong cantonese and code-switching support.
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
Subanana
+ Built for the Hong Kong market with strong Cantonese and code-switching support
+ Covers both subtitling/content workflows and meeting transcription
- Free allowance is limited before requiring a paid plan
FAQ
Is Koji or Subanana better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams. Both transcribe and summarize meetings.
How do Koji and Subanana compare on price?
Koji is a free tier with paid upgrades and Subanana 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 Subanana?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.