Fact-Check Any YouTube Video with AI
Stop taking YouTube claims at face value. YouTLDR automatically transcribes any video, identifies key claims and statistics, and cross-references them against trusted sources — giving you a clear report of what checks out and what does not. Verify before you share, cite, or believe.
Fact-Check a Video NowWhy Video Fact-Checking Matters
Video is the most persuasive medium on the internet, and YouTube is the world's second-largest search engine. That combination makes it a powerful vector for misinformation. 62% of adults in the United States say they regularly encounter misinformation on YouTube, according to a 2024 Poynter Institute survey. Yet most viewers lack the time or tools to verify what they hear.
The problem extends beyond casual viewing. Students cite YouTube videos in academic papers. Journalists reference video interviews as primary sources. Investors watch founder pitch videos before making funding decisions. In each of these cases, an unchecked false claim can have serious consequences.
“Misinformation does not announce itself. It looks like every other video in your feed — polished, confident, and citation-free. That is exactly why automated fact-checking tools are essential.”
A MIT study found that false information spreads six times faster than accurate information on social platforms. With over 500 hours of video uploaded to YouTube every minute, manual fact-checking simply cannot keep pace. AI-assisted verification is the only scalable solution.
How YouTLDR's Fact Checker Works
YouTLDR combines transcription, natural language understanding, and knowledge-graph verification into a single streamlined pipeline.
- Transcribe the video. YouTLDR generates a word-for-word transcript of the entire video, capturing every statement, statistic, and claim. This works for videos in 125+ languages.
- Identify key claims. The AI parses the transcript to isolate verifiable statements — numbers, dates, factual assertions, attributed quotes, and scientific or historical claims. Opinions and subjective commentary are filtered out.
- Cross-reference with trusted data. Each identified claim is checked against authoritative knowledge bases, published research, government datasets, and established fact-checking databases.
- Flag unverified or false claims. Claims are categorized as verified, unverified (no matching source found), or disputed (contradicted by reliable sources). Each category is clearly labeled in the output.
- Provide source links. For every flagged claim, YouTLDR provides links to the sources that either confirm or contradict the statement, so you can evaluate the evidence yourself.
“I ran a health influencer's viral video through YouTLDR and found three claims that directly contradicted peer-reviewed studies. It took less than two minutes.” — Science journalist, London
What Gets Fact-Checked
YouTLDR's fact checker focuses on objectively verifiable claims. Here is what the AI looks for:
- Statistics and numerical claims. “This supplement increases metabolism by 40%.” “GDP grew 7% last quarter.” Numbers are checked against published data.
- Historical claims. “The treaty was signed in 1947.” Dates, events, and attributions are verified against historical records.
- Scientific assertions. “Studies show that cold showers boost immune function.” Scientific claims are cross-referenced with peer-reviewed literature and established medical guidance.
- Product and business claims. “Our app has over 10 million users.” “This is the fastest-growing SaaS in the category.” Business claims are checked against publicly available data.
- Quotes attributed to others. “As Einstein once said...” Attributed quotes are verified against primary source records.
The fact checker does not evaluate opinions, predictions, or subjective value judgments. It focuses strictly on statements that have a provably true or false answer.
Who Needs Video Fact-Checking
Journalists and News Organizations
Newsrooms increasingly rely on YouTube as a source for stories. YouTLDR helps journalists quickly verify claims made in interviews, press conferences, and citizen journalism videos before publication. Pair it with our YouTube Transcript Search to find specific statements across multiple videos.
Academic Researchers and Students
Citing a YouTube video in a research paper requires confidence that the claims within it are accurate. YouTLDR provides a structured fact-check report that researchers can include as part of their source evaluation. Our YouTube to Study Notes tool complements this by organizing video content into structured notes.
Content Moderators
Platform trust and safety teams and community moderators can use YouTLDR to rapidly screen flagged videos for factual accuracy, prioritizing content that contains demonstrably false claims for further human review.
Informed Consumers
Before buying a product based on a YouTube review, or changing your diet based on a health video, run it through YouTLDR. Knowing which claims are verified and which are not helps you make better decisions. Check out our Video Comparison tool to cross-reference claims across multiple videos.
Educators and Librarians
Teachers who assign YouTube videos as part of coursework can use YouTLDR to pre-screen content for accuracy. Librarians curating digital media collections can use it as part of their quality evaluation process.
Frequently Asked Questions
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Last updated: February 2026