AI Video Detector

What an AI video detector actually does

A video is a long run of still frames plus, usually, a sound track. An AI video detector samples that material and looks for statistical and visual patterns that tend to show up in generated footage but are uncommon in footage captured by a camera sensor. It then weighs those patterns and returns a best estimate.

That is different from knowing where a clip came from. A detector assesses the media rather than witnessing the event. Verified provenance information, such as signed content credentials, can provide separate evidence about creation and edits; it does not by itself prove that a depicted event happened. Our practical guide to spotting AI video explains how to use that evidence.

Signals that can point toward AI-generated video

No single signal settles the question. Drubl combines several, and you can do some of the same looking yourself before you run a check.

• Frame-to-frame consistency

  Real objects keep their shape, texture and position as the camera moves. Generated footage can let patterns drift, swap or melt between frames.

• Texture and noise character

  Camera sensors leave a recognisable grain. Synthetic frames often show smoother or oddly regular texture, or noise that does not match the scene.

• Lighting and edges

  Shadows, highlights and the edges where a subject meets the background can disagree with each other in generated clips.

• Audio signals

  Drubl also processes audio signals as one input. Treat that as a supporting clue only. It does not verify who is speaking and it does not guarantee that sound and lips were matched or mismatched.

Why compression and social uploads make this harder

Almost every video you meet online has been squeezed. Platforms re-encode uploads to save bandwidth, strip metadata, crop to a new aspect ratio and sometimes add their own overlays. Screen recordings and re-posts stack those changes on top of each other.

Compression smooths fine texture and adds blocky artifacts of its own. That can hide the faint traces a detector looks for, and it can also create glitches that look suspicious in perfectly real footage. A low-resolution, heavily shared clip therefore deserves a more cautious reading than a clean original. If you can find an earlier or higher-quality copy, analyze that one instead.

Can Drubl analyze social-media videos?

Yes, where the link is supported and retrievable. Paste the address of a public post from a supported platform on the Drubl home page and the app tries to fetch the media itself. Whether that works depends on retrieval: private accounts, restricted posts, removed content and expired links can fail, and a platform changing how it serves video can also get in the way. If a link will not load, download or screen-capture a representative still and analyze it as an image instead.

The file uploader on Drubl accepts images, not video files. For video, the route is a supported media link. For stills pulled from a clip, see the AI image detector page.

How to read the result

The result names one of five classes and shows a confidence level. Real means the footage looks camera-captured. AI means it looks synthetically generated. CGI covers traditionally rendered 3D or effects work. Filtered points to a camera video with visual effects applied. Artwork covers drawn or painted material. CGI, filters and artwork are not the same thing as AI generation, and a clip can be edited without being synthetic.

Low confidence is useful information too. It means the signals were mixed. In that case lean on context: who posted it first, whether trustworthy outlets carry it, and whether anything about it feels engineered to provoke. If the clip involves a person's face and a serious claim, the deepfake detector page covers what to check next.

A quick routine before you share

Pause on clips that make you angry, afraid or very pleased. Look for the original post. Run the link through Drubl. Compare the estimate with what you can see yourself, using the checklist on Is This Video AI? as a guide. If the picture is still murky, say so when you share rather than presenting a guess as fact.