Key features
- AI meeting summaries with structured format (key points, decisions, action items)
- Speaker-tagged transcripts with timestamp navigation
- Searchable archive across all recorded meetings
- Highlight reels — curate clips from multiple meetings around a theme
- CRM integration — auto-log meeting summaries to Salesforce, HubSpot records
- Slack and email post-meeting summary delivery
- Supports Zoom, Microsoft Teams, and Google Meet recording
Best for
- APAC sales and customer success teams reducing post-call documentation time
- UX research and customer research teams conducting user interviews across APAC markets
- Product teams synthesising customer discovery insights across multiple interview recordings
- Organisations building searchable institutional knowledge from customer and partner conversations
Limitations to know
- ! APAC language transcription quality varies — English strongest; validate for specific Asian language call quality
- ! Recording-only — does not work for in-person meetings without explicit video call setup
- ! Some APAC enterprise customers may require consent disclosure for recording; review jurisdiction requirements
- ! Free tier has recording and storage limits; team features require paid plan
About tl;dv
tl;dv is an AI meeting intelligence platform that records video calls (Zoom, Microsoft Teams, Google Meet), generates AI-powered summaries and action items, provides speaker-tagged transcripts, and creates a searchable archive of meeting content — addressing the core problem that knowledge from meetings evaporates when the call ends.
For APAC customer success and sales teams, tl;dv's key differentiator from alternatives (Otter.ai, Fireflies) is the quality of structured meeting output. Rather than a raw transcript with an AI-generated paragraph summary, tl;dv generates a structured meeting brief: key points raised, decisions made, action items with ownership, and follow-up commitments — formatted for immediate use in CRM notes, follow-up emails, and team updates without additional editing. For APAC enterprise sales teams logging 6–10 customer calls per week, the reduction in post-call documentation time is material.
tl;dv's research-focused capabilities make it particularly useful for APAC UX research, customer research, and product teams conducting user interviews. The platform allows researchers to timestamp and tag specific moments in recordings, create highlight reels from multiple interviews around a specific theme, and share curated clips with stakeholders — rather than requiring stakeholders to watch complete interviews or read full transcripts. For APAC product teams running discovery research across multiple APAC markets, tl;dv's clip and reel functionality enables more efficient knowledge synthesis.
tl;dv's search capability extends across the full recorded meeting archive: searching for 'pricing objection' or 'Japan requirements' surfaces specific moments across all recorded calls, making institutional knowledge from customer conversations queryable and recoverable. For APAC sales teams where customer context and competitive intelligence are scattered across individual call notes, the searchable archive represents a meaningful competitive intelligence capability.
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