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AI Meeting Notetakers
t
AI Meeting Notetakers

tl;dv

Visit tl;dv
618 conversations analyzed
3 channels · updated August 2, 2026
CrowdVerdict Score
72
/ 100
Solid, with caveats
Score synthesized from 0 real dated mentions across 4 sources (medium confidence). Independent community discussion is weighted higher than vendor-controlled sources.
Hype vs. Utility
Flash-in-panCategory leaderUnder-radarHidden gem
tl;dv
Fireflies
Otter
Fathom
Read AI
Granola
← utility →hype ↑
AI-Synthesized TL;DR · across 618 posts

tl;dv earns strong marks from business users for multilingual transcription and its clip/reel workflow, though billing friction and shallower summaries on long calls are real concerns worth weighing.

The one catch

Summary depth is the most cited ceiling — on long or dense calls, the AI output is described as shallow, which undercuts the core value proposition for heavy users.

Sentiment by channel
positive critical
YouTube
67
G2
94
Trustpilot
44
Commercial
YouTube
80 videos
67/100
Positive
Top strengths
01Featured in notetaker comparisons for its clip/reel workflow
02Multilingual accuracy demoed on camera
03Praised for product/UX research call review
04Good free-tier framing in roundups
Top friction
01Some videos prefer Fathom/Granola on summary depth
02Bot-based capture flagged as intrusive by a few
Commercial
G2
G2
reviews
4.7★ · 529
Strongly positive
Top strengths
01Strong multilingual transcription accuracy across many languages
02Highlight reels stitch key moments across multiple meetings
03Timestamped notes let you jump straight to the moment
04Capable free tier praised by reviewers
05CRM and Slack sync push notes where teams work
Top friction
01Summary depth can be shallow on long calls
02Relies on an auto-join recorder bot
03Feature-rich UI has a learning curve
04Occasional lag before notes post
Commercial
Trustpilot
reviews
2.2★ · 9
Critical
Top friction
01Tiny consumer sample skews low — treated as limited data
02The few present cluster on billing/cancellation frustration
03Sharp contrast with the strong G2 business rating
✓ Best for

Remote or multilingual teams who need to clip, share, and cross-reference moments across many meetings rather than just read a static summary.

✕ Skip if

Anyone who needs deep, narrative-quality AI summaries of long complex calls and dislikes having a visible bot join their meetings.

The Cross-Channel Verdict
what holds up across sources
Universally praised
echoed positively across multiple channels
Multilingual transcription accuracy is reliable and market-leading for the price
2 channels
G2YouTube
Clip and highlight reel feature is a genuinely differentiated workflow tool
2 channels
G2YouTube
Free tier offers meaningful functionality without requiring immediate payment
2 channels
G2YouTube
Contested & polarizing
channels disagree — weigh for your use case
Overall satisfaction level is sharply split between business reviewers and general consumers
G2 business users rate it 4.7/5 across 529 reviews; Trustpilot's 9 consumer reviews average 2.2/5, almost entirely due to billing and cancellation complaints rather than product quality — suggesting the product fits B2B well but has weak consumer-facing support processes.
G2 highly positive; Trustpilot sharply negative
Summary quality is contested relative to competitors
G2 reviewers broadly accept the summary output as sufficient for business use, while YouTube comparison videos specifically flag Fathom and Granola as superior on summary depth — suggesting power users who prioritize narrative summaries may be disappointed.
G2 accepts it; YouTube comparison creators flag it as a gap
Bot-join recording model is accepted by most but flagged as a friction point by a vocal minority
G2 reviewers largely treat the bot as a non-issue, while YouTube reviewers periodically raise it as a concern for external-facing or sensitive meetings.
G2 largely silent on it; YouTube flags it occasionally
𝕏
X · Hype Velocity
signal only — excluded from scoring & pros/cons
Modest product/research-team chatter — call-review workflows, multilingual transcription, and notetaker comparisons. The 'tldv' term is noisy (matches 'too long didn't view' shorthand), so genuine product volume is low. Hype signal, not scored.
~600mentions / 30d (est.)
4% vs. prior month (est.)
Methodology. Scores weight organic technical communities (Hacker News, Reddit, GitHub) above incentivized or engagement-optimized platforms. Hype signals (X) are shown for context but excluded from scoring and pros/cons.
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