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tl;dv tldv.io

Can AI replace tl;dv?

A DIY app can record, transcribe, summarize, and generate clips, but tl;dv's team library, CRM integrations, and meeting-bot reliability are real work.

Verdict: Half-bot · AI gets you partway; the hard part stays hardBuild time: multi-day
Half-bot

01What it costs

$18/moPro, annual billing, per user per month
$216per year at that price

Checked Aug 14, 2026 · source: tldv.io.

PlanMonthlyBilled yearlyWhat you get
FreeFreeFreeUnlimited meeting recordings, transcripts, and storage; no retention clock.
Pro—$18/moPaid AI and workflow features above Free; exact current numeric feature caps were not exposed in crawlable public pricing text.
Business——Conversation intelligence, coaching, and revenue workflows; exact current numeric limits and public price were not reliably exposed.
Enterprise——Custom security, administration, and support; no public numeric price.

Hidden costs: The live pricing application is dynamic, and separate official 2026 tl;dv pages conflict on the Business annual figure; that field is intentionally null rather than choosing one.

02Could AI build it for you?

The core job: Join/record meetings, generate transcript and summary, tag highlights, clip segments, and export notes.

What a working version needs:

  • meeting platform integration
  • speech-to-text
  • video storage
  • LLM API
  • hosted backend

Good page because it forces the reader to separate summarization from meeting operations.

03What you'd give up

  • meeting bot upkeep
  • team/shared library
  • CRM integrations
  • admin controls
  • polished clip sharing

They pay for repeatable team-wide capture and distribution, not because summaries are hard.

05The build prompt

Paste this into an AI coding tool (such as Claude, ChatGPT, Lovable or Replit) to build your own version.

prompt.txt
Build me a personal meeting recorder with clips to replace tl;dv. Requirements:

- A macOS menu bar app (or a rec start / rec stop CLI, pick the simpler to ship)
  that records system audio + mic locally with ffmpeg. No bot joins the call.
- On stop: transcribe with whisper.cpp with timestamps, or the Whisper API if a key
  is in .env.
- Send the transcript to an LLM (key in .env) for a 5-bullet summary and action
  items; save everything to ~/Meetings/YYYY-MM-DD-<title>/ as notes.md, the
  transcript, and the audio file.
- While recording, a global hotkey drops a highlight marker; afterwards each marker
  becomes a clip, ffmpeg cutting 30 seconds either side into clips/.
- A local library page (Express on localhost:4700): list meetings, full-text search
  across transcripts with SQLite FTS5, play recordings and clips inline.
- No accounts, no telemetry; nothing leaves my machine except optional API calls.
- Out of scope: a bot that auto-joins Zoom/Meet, CRM sync, and a shared team
  library. This records what I can hear locally.
- README: mic + screen-recording permissions, whisper model download, and a
  reminder that recording other people still requires their consent.

06Open-source starting points

  • whisper.cpp: Can power the transcription layer for a simpler local clone.
Sponsor slot · openFeatured alternative to tl;dv. A labeled card for one relevant tool.
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App prices, verdicts, alternatives and build prompts are adapted from Can I Vibecode It? (MIT License, © 2026 Rob Hallam). Each price shows the date it was checked and its source. Prices change; confirm on the vendor's site before you decide.