Subanana and Terret are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Subanana: Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support. Terret: AI revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching. 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 Subanana when transcribing and summarizing cantonese-english meetings for hong kong teams matters most, and Terret when analyzing recorded sales calls to inform forecasting and deal-health scoring matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Hong Kong AI transcription and subtitling platform with meeting transcription, summaries, and multilingual support.
AI transcription and subtitle generation across 80+ languagesAutomatic speaker identificationMeeting transcription with automated summaries and action items
AI revenue intelligence platform (formerly BoostUp) with native conversation intelligence that records and analyzes sales calls to drive forecasting and coaching.
AI-generated sales playbooks based on top-performer behavior
Automatic CRM field population and follow-up action generation
Conversation intelligence that records and analyzes sales calls at scale
Subanana is a free tier with paid upgrades (freemium); Terret is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI transcription and subtitle generation across 80+ languages
Conversation intelligence that records and analyzes sales calls at scale
Standout feature
Strong handling of mixed Cantonese-and-English (code-switching) audio
Native integration of call insights with AI forecasting and deal scoring
Team usage
Meeting transcription with automated summaries and action items
Automatic CRM field population and follow-up action generation
Integrations
Real-time voice transcription with live translation
AI-generated sales playbooks based on top-performer behavior
Languages & capture
Automatic speaker identification
Real-time pre-call briefs delivered via Slack
Best-fit workflow
Subtitle embedding and export to .srt, .docx, .csv, and .txt
Deal-risk detection, product-gap analysis, and expansion-signal surfacing
Best for
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.
Terret
Choose Terret if you need analyzing recorded sales calls to inform forecasting and deal-health scoring — strengths include conversation intelligence is tightly coupled to forecasting and pipeline analytics.
Pros & cons
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
Terret
+ Conversation intelligence is tightly coupled to forecasting and pipeline analytics
+ Automates CRM updates and methodology-field population to reduce admin work
- Oriented toward mid-market and enterprise revenue teams rather than small teams
FAQ
Is Subanana or Terret better for AI meeting notes?
It depends on your workflow. Subanana is strong for transcribing and summarizing cantonese-english meetings for hong kong teams, while Terret is strong for analyzing recorded sales calls to inform forecasting and deal-health scoring. Both transcribe and summarize meetings.
How do Subanana and Terret compare on price?
Subanana is a free tier with paid upgrades and Terret 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 Subanana and Terret?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.