tl;dv (“too long; didn’t view”) is one of the more practically named products in the meeting intelligence category. The name explains the problem it solves. Recordings pile up. Nobody watches them. Insights from customer conversations stay locked in videos that get forwarded but never actually viewed. tl;dv’s answer is a combination of AI summaries, timestamped highlights, and — most distinctively — cross-meeting natural language search that lets you query your entire conversation archive as if it were a searchable database. At $18/seat for the Pro plan, it delivers capabilities that competing tools charge significantly more for.
Recording, Transcription, and the AI Summary Layer
tl;dv joins Zoom, Google Meet, and Microsoft Teams as a bot, records the session, and produces a searchable transcript with automatic speaker recognition in 30+ languages. AI summaries are generated after the call ends, formatted by default with a concise overview, key discussion points, and action items. You can customize the summary format to match your team’s specific needs — a sales team might want summaries structured around discovery questions and next steps, while a product team might want themes and open questions.
During the call, you can create timestamped highlights at specific moments — pressing a hotkey marks the current timestamp for later review. After the call, highlights can be clipped and shared as short video snippets. These clips can be embedded directly into Notion, Slack, Linear, Confluence, or other tools where your team documents work, making it easy to attach the exact moment a customer said something relevant to a ticket, spec, or deal note.
Ask tl;dv AI: The Cross-Meeting Search
The “Ask tl;dv AI” feature is where the platform differentiates meaningfully from basic meeting recorders. You can query a single recording or your entire meeting library in natural language: “What objections came up in demos this week?” “When did we agree on the Q3 timeline with Acme Corp?” “What did customers say about the new onboarding flow?” The AI pulls relevant moments from across calls and surfaces them with timestamps and summaries.
For teams running high call volumes — a sales team with 15+ demos per week, a customer success team managing 50 accounts — this retrospective querying is where tl;dv’s value compounds over time. As the meeting library grows, the searchable intelligence base grows with it. Patterns that would otherwise require manually reviewing dozens of recordings to identify — recurring competitor mentions, a common objection appearing in multiple stages of the funnel, a consistent misunderstanding in onboarding calls — surface in seconds.
This cross-meeting intelligence is tl;dv’s clearest competitive advantage over Grain, which is stronger on clip-based communication but less capable on retrospective analysis across a large call archive.
The Sales Intelligence Tier
The Business plan at $59/seat/month ($79 monthly) transforms tl;dv from a recording and search tool into a sales intelligence platform. Native integrations with Salesforce and HubSpot push meeting summaries and key moments automatically to deal records, contact notes, and task lists — the same outcome that Gong and Chorus provide, at a fraction of the cost. AI coaching analyzes calls against sales playbooks and flags deviations: did the rep follow the discovery framework? Were competitors mentioned? Were pricing objections handled according to best practice?
Objection tracking and feature request tracking aggregate specific themes across calls — automatically surfacing the five most common customer concerns from the last 30 days of demos, or the most-requested product features from customer success calls. For revenue operations teams trying to understand pipeline health or product teams trying to prioritize the roadmap, this consolidated intelligence is significantly more actionable than reading through individual call summaries.
Pricing Across the Tiers
Free: Unlimited recording and transcription, 3-month storage, 10 lifetime AI summaries. Functional for occasional use but the 10 AI note limit quickly becomes a barrier for regular use. The free tier is best for evaluating whether the recording and highlight workflow fits before committing to Pro.
Pro at $18/user/month (annual) unlocks unlimited AI summaries, unlimited Ask AI queries, unlimited storage, global transcript search, and 5,000+ integrations. For the majority of non-sales teams — product, research, operations, customer success — this is the relevant tier and the price is genuinely competitive. The all-you-can-query model on Ask AI is particularly valuable for teams building large call archives.
Business at $59/user/month (annual) adds the Salesforce/HubSpot native integrations, AI coaching, sales playbooks, objection and feature request tracking, and multi-team management. The jump from Pro to Business is substantial and intentional — Business serves a different use case (sales intelligence) rather than just more of Pro.
Enterprise covers large-scale deployments with private AI hosting, custom integrations, and dedicated support.
Recurring Reports: The Async Intelligence Layer
One tl;dv feature that gets underplayed in most reviews is the Recurring AI Reports function. You set up a recurring digest — weekly summary of all customer calls, bi-weekly report on competitor mentions across sales demos, monthly synthesis of product feedback themes — and tl;dv generates and delivers it automatically. For executives or team leads who aren’t in most of those meetings but need to stay informed on patterns, this is the kind of passive intelligence that replaces hours of reading individual call notes.
A product manager running a “send me a weekly summary of the top 3 customer complaints mentioned across all customer success calls” report has a systematically more informed view of customer pain than one who relies on handoff notes and anecdotes. This feature alone differentiates tl;dv from tools that only serve the person who was in the meeting — extending the value of every recorded call to stakeholders across the organization.
Real Limitations
The bot is visible in meetings — an external caller sees “tl;dv notetaker” in the participant list. For some contexts (enterprise sales with specific clients, sensitive conversations) this can create friction. Competitors face the same issue, but it’s worth noting before rolling it out team-wide without a heads-up to meeting participants.
The free tier’s 10 AI note limit is too restrictive for real evaluation — you’ll exhaust it within a week if you’re in regular meetings. Teams that want to genuinely test the platform need to move to a trial of Pro quickly.
Compared to Grain, tl;dv’s clip-sharing and story-building features are less polished. For teams where the primary use case is sharing meeting insights as video clips with internal stakeholders — product teams building customer evidence libraries, for example — Grain’s clip-centric workflow is more refined. tl;dv’s strength is the query layer, not the visual communication layer.
Who tl;dv Is Built For
tl;dv is the right choice for teams that run high meeting volumes and need to make their call archives searchable and queryable over time. Sales teams at the Pro tier benefit from the cross-meeting search; at Business, the CRM automation and coaching features deliver the sales intelligence layer at a price point that Gong can’t match for most mid-market companies. Product and research teams that interview customers regularly and want to query themes across dozens of calls will find the Ask AI feature genuinely transformative for their research synthesis workflow.
Verdict
tl;dv earns its position as one of the better meeting intelligence tools in the market by doing something genuinely useful that most competitors handle poorly: making your meeting history queryable at scale. The Pro plan at $18/seat is particularly strong value — unlimited recording, storage, AI summaries, and cross-meeting search for the price of a lunch.
If your team runs on meetings and those meetings contain intelligence you need to access, track, and share — whether it’s customer insight, deal context, or coaching data — tl;dv is worth prioritizing in any evaluation of this category.
