Meeting records are only useful if someone actually watches them. tl;dv records Zoom, Teams, and Google Meet calls, then auto-transcribes and summarizes so async teams actually catch up.
The remote-work meeting problem is simple: calls happen, nobody takes notes, and half the team wasn't there anyway. tl;dv records video calls across Zoom, Google Meet, Microsoft Teams, and Webex, then generates AI transcripts, summaries, and extractable clips. The output is searchable, shareable, and consumable in 2 minutes instead of 45. Who uses it: Sales teams reviewing client calls for coaching without requiring every rep in the room. Product and engineering teams capturing technical requirements conversations for onboarding and async reference. Customer success teams auto-documenting customer calls and pushing summaries to Slack or email. Distributed teams across time zones replacing "sorry, I missed it" with "here's the 3-minute summary." Compliance-heavy orgs (finance, healthcare, legal) building searchable audit trails. The operator workflow: Install the Slack or browser extension, grant calendar access, let it auto-record your meetings. After the call ends, you get a transcript, a 2-3 minute AI summary, and the ability to clip specific moments ("customer said they'd switch if we added X") and share just that clip instead of the full 60-minute recording. Teammates in different time zones get the summary in their inbox or Slack channel within minutes. Pricing and limits: tl;dv operates on a freemium model with paid tiers—check their site for current pricing, as it changes. Free tier typically includes a limited number of recordings per month; paid plans unlock unlimited recordings, longer retention, and advanced search. The honest constraint: AI summaries are only as good as the meeting structure. A rambling 90-minute call with no clear agenda produces a rambling summary. Tight agendas and clear speakers produce cleaner output. Alternatives worth considering: Otter.ai focuses on transcription accuracy and integrates with more platforms but requires manual clipping. Fireflies.ai offers similar auto-recording and summaries with stronger CRM integrations (Salesforce, HubSpot). Grain (now part of Rewatch) emphasizes clip-sharing and team collaboration. Fathom is lighter-weight and free for basic use. The tl;dv advantage is speed—summaries land in Slack within seconds, not hours. Common failure mode: Teams install it, record everything, then never search or reference the recordings. The tool works best when you have a specific use case (sales coaching, customer feedback capture, async onboarding) and a workflow that actually pulls clips or summaries into your decision-making. If you're recording just to record, you're paying for storage.
Meeting records are only useful if someone actually watches them. tl;dv records Zoom, Teams, and Google Meet calls, then auto-transcribes and summarizes so async teams actually catch up.
Sales teams recording client calls for rep coaching and deal analysis without requiring all team members to attend every meeting; Product and engineering teams capturing technical discussions and requirements conversations for async reference and faster onboarding; Customer success teams auto-documenting customer calls and pushing summaries to Slack or email for internal stakeholder alignment; Distributed teams across time zones enabling async participation with AI summaries instead of requiring live attendance.
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 summary quality depends on meeting structure—rambling calls produce rambling summaries; Pricing scales with recording volume; heavy users need to budget for storage and processing; Transcription accuracy varies by audio quality and speaker accents; still requires human review for compliance-critical moments; Teams often record everything but reference nothing—adoption requires a specific workflow, not just the tool.
Popular tl;dv alternatives include otter-ai, fireflies-io, grain, chorus-ai. See the full alternatives page for side-by-side comparisons.