tl;dv Problems & Issues
Real user-reported problems, complaints, and limitations for tl;dv. Based on analysis of 13 signals.
Overall score: 52/100
Issues by Category
AI Summaries Miss Critical Nuances
AI-generated summaries regularly miss context and nuances from meetings. Users report having to prompt the AI multiple times to capture all action items correctly. The output should be treated as a 'smart first draft that needs review' rather than something you can trust blindly.
Video Library Organization Is a Mess
The video library for managing recordings is described as 'a mess' by users. Finding specific recordings becomes increasingly difficult as the library grows. Poor organization and lack of robust tagging or folder systems make long-term use frustrating.
Search Functionality Unreliable
Search works for straightforward keyword matches but sometimes returns meetings that don't actually contain the searched keywords. Users looking for specific moments in past meetings waste time scrolling through irrelevant results. Critical for teams relying on meeting archives.
Cannot Add Custom Terminology
Users cannot add custom terms, product names, or industry jargon to improve transcription accuracy. If your business uses specialized vocabulary, expect constant transcription errors. This is a major limitation for technical teams, medical professionals, or anyone with domain-specific language.
Paid Plans Don't Allow Full Transcript Export
Despite feature lists promising unlimited transcript downloads, paid plans don't actually allow full transcript export or download. Users report customer service refusing refunds even when the product can't deliver its advertised features. Classic bait-and-switch complaint.
Free Tier Severely Limited - 10 AI Summaries Lifetime
The free tier only includes 10 AI meeting summaries for the lifetime of the account - not per month, lifetime. After that, users must upgrade or lose the AI summary feature entirely. Recordings on free tier are also deleted after 90 days, making it useless for long-term reference.
Pro Plan Expensive vs Competition
Pro at $29/month is expensive compared to alternatives. Fireflies offers similar multi-meeting insights at $18/month, Otter at $16.99/month, and both MeetGeek and Avoma start at $19/month. Users paying premium prices expect premium accuracy, which tl;dv doesn't deliver.
Transcription Accuracy Only 85-90%
Users report tl;dv transcription accuracy hovers around 85-90%, significantly below competitors like HappyScribe that offer 95% accuracy. This means 1 in 10 words may be wrong, requiring manual cleanup for any important meeting. Technical jargon, accents, and fast speech make accuracy worse.
Speaker Identification Fails with Overlapping Speech
Speaker identification works great for one-on-one calls or structured meetings where people take turns, but falls apart when multiple people talk quickly, interrupt, or overlap. Fast-paced team discussions require extensive manual cleanup to correctly attribute statements.
Bot Attaches Without Invitation
Multiple users report the AI note taker bot attached itself to meetings without being invited, and it's impossible to decouple it from calendar invites. Attempts to contact tl;dv support received no response, while the bot continues emailing upgrade payment requests. Extremely frustrating for those trying to control meeting access.
Buggy Recordings and Processing Delays
Users report buggy recordings that fail to process or take hours to complete. The help center has a dedicated article for 'My video/transcript is still processing' - indicating this is a known widespread issue. For time-sensitive meetings, this delay makes the tool unreliable.
No Refunds Even When Features Don't Work
Customer service refuses refunds even when the product demonstrably doesn't deliver promised features. Users who paid for export capabilities that don't work report being stuck with subscriptions. Support responsiveness is also criticized, with some reports of no response at all.
Limited Free-Tier Integrations
Free tier users face severely limited integrations and export options. CRM integrations like Salesforce and HubSpot are locked behind paid plans. For teams wanting to try before they buy, the free tier doesn't represent the real product experience.
Regret Patterns
Common reasons users regret choosing tl;dv.
Realized 10 free AI summaries was lifetime, not monthly
Users sign up expecting 10 AI summaries per month only to discover it's 10 total for the lifetime of the account. After 2-3 weeks of active use, the core AI feature disappears, forcing an immediate upgrade decision.
Paid for export feature that doesn't work as advertised
Users upgrade to Pro expecting full transcript exports, only to find the export functionality limited or non-functional. Customer service refuses refunds, leaving users stuck with an annual subscription that doesn't deliver.
Bot joining meetings I didn't want recorded
After connecting calendar integration, the bot starts joining meetings automatically - including sensitive ones users didn't intend to record. Attempts to decouple the bot from calendar prove frustrating or impossible.
Realized transcription accuracy too low for professional use
Users discover 85-90% accuracy means significant errors in every meeting transcript. For client meetings, legal discussions, or any context where precision matters, transcripts require extensive manual editing.
Lost old recordings after 90-day deletion
Free tier users realize too late that recordings auto-delete after 90 days. Important meeting recordings from months prior are gone permanently with no recovery option. No warning before deletion.
Per-user pricing made team costs explode
Teams scaling from 2-3 users to 10+ realize the per-user pricing model makes costs grow linearly. At $18-29/user/month, a 10-person team pays $180-290/month just for meeting transcription.
When tl;dv Breaks Down
Specific scenarios where tl;dv fails or underperforms.
Meetings with heavy crosstalk and interruptions
Speaker identification completely fails when multiple people talk simultaneously. Transcripts become an unusable mess of misattributed statements, requiring more time to fix than to take manual notes.
Technical discussions with specialized terminology
Without custom vocabulary support, technical terms, product names, and industry jargon are consistently transcribed incorrectly. Engineering standups and technical reviews become particularly problematic.
Meeting library grows beyond 100 recordings
The video library organization described as 'a mess' becomes unmanageable. Search unreliability means important meetings get lost. Teams spend more time finding recordings than watching them.
Need to export transcripts for documentation
Users expecting full transcript export discover paid plans don't deliver as advertised. Workarounds are cumbersome, and important meeting content can't be easily archived outside the platform.
Privacy requirements for sensitive meetings
Bot auto-joining behavior makes it difficult to control which meetings are recorded. For organizations with privacy requirements or sensitive client meetings, this unpredictable behavior is unacceptable.
Free trial runs out during evaluation
10 AI summaries run out quickly during evaluation, making it impossible to properly test the AI features before committing. Users face upgrade pressure before adequately testing the product.