tl;dv is an AI meeting recorder that transcribes, summarizes, and clips Zoom, Google Meet, and Teams calls. Built for remote teams needing searchable meeting records and async playback.
tl;dv automates meeting documentation for distributed teams. The tool records video calls across Zoom, Google Meet, Microsoft Teams, and Webex, then uses AI to generate transcripts, summaries, and highlight clips—eliminating manual note-taking and enabling team members to catch up asynchronously. For operators, tl;dv solves a core remote-work friction: ensuring everyone has access to meeting context without requiring attendance. Sales teams use it to review calls and coach reps. Product teams reference recordings when onboarding or resolving disputes about requirements. Engineering teams clip technical discussions for documentation. The recorder works as a browser extension or Zoom app. Once installed, it joins calls automatically (or on-demand) and begins transcribing in real-time. Transcripts are searchable and timestamped. AI-generated summaries capture decisions and action items. Users can clip and share specific moments without sharing the full recording. Key operator considerations: Recording consent varies by jurisdiction—single-party vs. two-party consent states affect deployment. tl;dv requires explicit notification that recording is happening, but the tool handles this via on-screen indicators. Teams should verify local compliance before rolling out org-wide. The platform stores recordings in the cloud (verify data residency options on vendor site). Pricing scales with team size and storage needs. Free tier includes limited recordings; paid plans unlock unlimited storage, advanced search, and API access for custom workflows. Integrations with Slack, Notion, and HubSpot allow teams to push summaries and clips into existing tools. API access (verify on vendor site) enables custom automation—for example, automatically logging sales calls to CRM or triggering alerts when specific topics are discussed. Common deployment pattern: Sales and customer success teams adopt first (high call volume, clear ROI on coaching and deal review). Product and engineering follow as teams realize the value of searchable technical discussions. HR and legal may have restrictions due to sensitive conversations. Limitations include: AI summary quality varies with audio clarity and call structure; speaker identification requires explicit labeling in some cases; and real-time transcription accuracy depends on language and accent (verify current language support on vendor site). Storage and compliance overhead scales with team size.
tl;dv is an AI meeting recorder that transcribes, summarizes, and clips Zoom, Google Meet, and Teams calls. Built for remote teams needing searchable meeting records and async playback.
Sales teams recording and reviewing client calls for coaching and deal analysis without requiring all reps to attend every meeting; Product and engineering teams capturing technical discussions and requirements conversations for async reference and onboarding; Customer success teams documenting customer calls and automating summary delivery to internal stakeholders via Slack or email; Distributed teams enabling async participation—team members in different time zones catch up on recorded meetings with AI summaries.
tl;dv uses a freemium pricing model, starting around See vendor site — sample data, 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.
Recording consent and compliance requirements vary significantly by jurisdiction (single-party vs. two-party consent); teams must verify local laws before org-wide rollout; AI summary quality depends on audio clarity, call structure, and speaker clarity; accents and poor audio can reduce transcription accuracy (verify current language support); Real-time transcription and speaker identification may require manual correction or labeling in some cases, adding overhead for teams with many speakers; Storage costs scale with team size and call volume; large organizations may face significant monthly bills (verify pricing tiers on vendor site).
Popular tl;dv alternatives include otter-ai, fireflies-io, grain, chorus-ai. See the full alternatives page for side-by-side comparisons.