Verify viral YouTube clips
Check whether a trending YouTube video shows signs of AI generation before citing it in reporting.
AI video detector
YouTube AI video detector for shared clips
YouTube AI Video Detector lets you paste a public YouTube video URL to check for AI-generation signals. It downloads the accessible video and runs frame-by-frame analysis using the same detection pipeline as file uploads. For the strongest evidence, upload the original video file when you have rights to submit it.
Upload a clip, or scan a public YouTube URL on Pro.
Analyze a video
Upload a file or provide a URL for an authenticity review.
MP4, MOV, WebM up to 50MB and 60 seconds on Free. Direct video URLs supported on all plans. Social URL parsing (YouTube, TikTok, Instagram) on Pro. Free and Starter videos deleted within 24 hours. Results in 15–60 seconds.
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Use cases for this check
Screen YouTube Shorts
Quickly assess short-form YouTube content for synthetic signals.
Review reuploaded footage
Evaluate whether a reupload on a different channel may be AI-generated or manipulated.
What this check is best for
- Checking whether a viral YouTube video or Short may contain AI-generated content
- Screening YouTube reuploads before citing them in news reporting or research
- Quick triage of trending YouTube clips for authenticity review
- Evaluating creator submissions that include YouTube links as source material
What it can detect
- AI-generation signals in publicly accessible YouTube video content
- Temporal and motion inconsistencies that persist even after YouTube re-encoding
- Visual artifacts from AI generation tools — unnatural textures, structural distortions, physics violations
- Compression-related patterns that indicate the source was AI-generated before platform upload
What it cannot detect
Understanding the limits helps you set realistic expectations and combine this tool with other verification methods.
- Private, unlisted, members-only, or age-restricted YouTube videos — only public URLs are parsed
- The specific AI tool used to create a video — attribution requires independent source evidence
- AI-generated audio, voice cloning, or music — the scanner analyzes visual signals only
- Videos shorter than 3 seconds or with very few unique frames
- Content that has been re-encoded so many times that AI artifacts are completely destroyed
Best input quality
For the strongest evidence, upload the original video file when you have rights to submit it. YouTube URL scans download the accessible video and analyze it using the same detection pipeline as file uploads. Public YouTube videos and Shorts are supported. MP4, MOV, and WebM uploads up to 50 MB and 60 seconds on the Free plan.
Example result
This is a representative example to show what a scan report looks like. It is not a real scan result.
62
AI Likelihood Score
Verdict: Unclear · Confidence: Low
Signals detected:
- Mild temporal inconsistency between frames 0:08–0:11
- Possible texture anomaly in background region
- Platform compression warning — reduced signal quality
Common false positives
These are situations where a real video may be incorrectly flagged as AI-generated.
- Heavily compressed YouTube reuploads — platform transcoding can create artifacts that mimic AI-generation signals
- YouTube Shorts with heavy filters or effects — short-form processing can introduce visual anomalies
- Videos with creative editing — speed ramps, transitions, and visual effects can trigger temporal inconsistency signals
- Gaming or animated content uploaded to YouTube — synthetic by nature but not AI-generated
Common false negatives
These are situations where an AI-generated video may not be flagged.
- AI-generated videos that have been re-encoded multiple times before reaching YouTube
- High-quality AI output from recent models that produces minimal visible artifacts
- Very short Shorts (under 3 seconds) with insufficient temporal data
- Content where only a small portion of each frame is AI-generated
Manual verification workflow
The scan is a first-pass signal. For high-stakes content, combine it with these manual steps.
- Check the video creator's channel history — do they consistently produce similar content, or is this a one-off suspicious upload?
- Look at the upload date and compare with known release dates of AI generation tools
- Read the video description and comments for creator disclosure about AI use or editing tools
- Compare the YouTube video with any known original source — the reupload may have different quality characteristics
- Use YouTube's built-in playback speed controls to slow down and inspect suspicious moments frame by frame
How to use this detector
1
Copy the YouTube video URL from your browser or the Share button.
2
Paste the URL into the scanner and click Analyze.
3
Review the report with confidence score, verdict, and evidence frames.
Page-specific questions
Can I scan any YouTube URL?
Public YouTube video URLs can be scanned on the Pro plan — the video is downloaded and analyzed using the same detection pipeline as file uploads. Private, unlisted, members-only, and age-restricted videos are not accessible. Direct video URLs are supported on all plans. For the strongest evidence, upload the original video file when you have rights to submit it.
Do YouTube Shorts work the same way?
Yes, but Shorts are typically shorter and more heavily compressed, which can reduce detection confidence. Very short clips (under 3 seconds) may not produce reliable results.
Does YouTube's compression affect the result?
Yes. YouTube re-encodes all uploads, which can introduce artifacts not present in the original. This can sometimes reduce confidence or create false signals.
What if the video has been reuploaded by someone else?
Reuploads add extra compression layers. The scan can still run, but confidence may be lower. If you suspect the video is a reupload, try to find the original source.
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Ready to check a video?
Upload a clip, inspect the evidence, and decide what to do next without overstating what an automated result can prove.