Stop replaying full meetings. tl;dv auto-clips the moments that matter, so async teams actually stay aligned.
tl;dv records your video calls and uses AI to find the moments worth sharing. Instead of sending a 45-minute Zoom link to stakeholders who weren't there, you get a 2-minute clip of the decision, the announcement, or the process walkthrough. It's the difference between "watch this meeting" and "here's what you need to know." The tool works on Zoom, Google Meet, and Teams. You hit record. tl;dv captures the video and audio, runs transcription, identifies key moments (decisions, action items, topic shifts), and surfaces them as clips you can trim, caption, and share. You can also manually mark moments during the call or after, building a searchable library of clips organized by topic, speaker, or date. Who uses this: Remote teams with async-first cultures (distributed across time zones), onboarding managers building knowledge bases from recorded training calls, product teams sharing customer call highlights with the broader org, and operators who are tired of "can you send me the recording?" Slack messages. The operator workflow looks like this: Call happens → tl;dv auto-generates clip candidates → you review and trim in the web editor → you share the clip link or embed it in Slack/Notion/your wiki → new hire or stakeholder watches the 90-second version instead of the full recording. The approval gate is manual: you decide what ships. The failure mode is over-clipping (AI flags too many moments) or under-clipping (it misses the actual decision), so you need to spot-check early clips to calibrate. Pricing is typically per-user or per-team, with free tiers for light recording use. Check the vendor site for current plans—this space moves fast and pricing changes seasonally. Alternatives: Otter.ai (transcription-first, less video-focused), Fireflies.io (similar auto-clipping, different UI), or just using Zoom's native recording and manually trimming clips in Loom. The tradeoff is time: manual clipping takes 15 minutes per call. tl;dv does it in seconds, but you still need to QA the output. Honest limits: AI moment detection works best on structured calls (demos, decisions, announcements). Rambling brainstorms or casual 1-on-1s produce noisier clip suggestions. The tool doesn't replace a human note-taker for complex discussions. And if your team is already synchronous and co-located, this solves a problem you don't have.
Stop replaying full meetings. tl;dv auto-clips the moments that matter, so async teams actually stay aligned.
Share critical meeting decisions with async team members without requiring full recording replay; Generate onboarding clips from team calls to build searchable knowledge base for new hires; Create executive summaries as short video clips instead of text-only meeting notes; Reduce meeting load by distributing key highlights to stakeholders who couldn't attend.
tl;dv uses a freemium pricing model, starting around See vendor site, with a free plan available. Pricing changes often — confirm current tiers on the vendor site.
Yes, tl;dv lists an API, so you can integrate it into custom workflows.
AI moment detection is imperfect on unstructured conversations; requires manual QA and trimming; Best for structured calls (demos, decisions, announcements); less useful for brainstorms or casual 1-on-1s; Doesn't replace a human note-taker for complex or sensitive discussions requiring nuance; Searchability depends on transcription quality; accents, technical jargon, or poor audio reduce accuracy.
Popular tl;dv alternatives include otter-ai, fireflies-io, fathom-video, grain-io. See the full alternatives page for side-by-side comparisons.