Captures supported calls. With Current AI Features Integrations And Professional Workflows
tl;dv is a ai meeting recorder and intelligence platform for teams built mainly for sales teams,customer teams,product teams,remote teams. tl;dv provides free unlimited recordings and transcription with a limited monthly AI note allowance. Pro adds unlimited AI notes Ask tl;dv templates CRM and API workflows while Business adds multi meeting reports insights playbooks and MCP.
A realistic pilot using the team's own data is more informative than judging the product from a demo or benchmark. In practical use tl;dv should be evaluated around the quality of its core workflow and how naturally it fits the tools users already depend on.
Typical use cases include Meeting Recording, Sales Intelligence, Customer Research, Multi Meeting Analysis, CRM Updates, AI Notes. These are not interchangeable tasks: each one can have different source requirements review standards and usage costs. A team should test the exact use case it cares about instead of assuming success in one workflow proves the product will perform equally well everywhere.
Use templates that match the meeting type then compare AI notes across several calls before automating CRM updates or recurring multi meeting reports.
Meeting Recording: Captures supported calls. Transcription: Supports thirty plus languages. AI Notes: Structured meeting summaries. Ask tl;dv: Queries meetings conversationally. Multi Meeting Reports: Finds themes across calls. Playbooks: Scores or structures conversations. API And MCP: Connects meeting intelligence to external AI. The value comes from combining these capabilities with the right context. Turning on every AI option at once usually makes a workflow harder to audit while a smaller well-defined process is easier to trust improve and automate.
AI models: tl;dv Meeting AI Models. Integrations: Zoom,Google Meet,Microsoft Teams,CRM,API,Webhooks,MCP
For automation the safest design is to keep credentials protected use least-privilege permissions and log actions that can change external systems. A polished browser experience does not guarantee identical latency or behavior at API scale so production teams should measure failure rates as well as successful outputs.
Free Unlimited Recording With Paid Pro Business And Enterprise Plans is the current pricing position used for this listing. Yes is the current free-access status recorded here. Because AI products increasingly meter usage through credits tokens outcomes minutes actions or compute units a plan name by itself does not describe the real monthly cost.
Before adoption check the official billing page for included usage rollover rules overage pricing premium-model charges and whether an API or agent action is billed separately from the normal user seat.
Weekly recording thresholds and plan specific AI limits still apply and multi meeting analysis can amplify poor transcript quality across many calls.
Model output can change after vendor updates even when the user repeats the same prompt. Maintain a small set of representative test tasks and rerun them after major product or model changes so quality regressions cost changes and permission differences are noticed before they affect important work.
Meeting intelligence can become useful first party source material for articles customer research FAQs and sales enablement. Quotes decisions and customer statements should be checked against the recording and published only with appropriate permission.
When AI output becomes public content it should be reviewed as carefully as material produced manually. Useful pages still need evidence original experience sensible structure and accurate metadata. Automation is most valuable when it saves repetitive production time without lowering editorial standards.
Check the current official plan license and source rights before commercial use.
Uploaded customer records private documents source code recordings faces voices research papers or copyrighted media should be processed only when the user has the right and organizational permission to do so. For high-impact decisions the AI result should remain one input into a human-reviewed process rather than the sole authority.
