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.