Warping, inconsistent lighting, broken fine details, repetitive patterns, or unnatural audio can be reasons to investigate a video—but none proves it is an AI deepfake. The faster, more reliable check is to trace the source, compare the full context with independent reporting, and inspect provenance information or AI-tool results with their limits in mind.
Five signs that warrant a closer look
These are possible warning signs, not a validated diagnostic checklist. Compression, editing, poor recording conditions, lighting, and ordinary production choices can also produce odd-looking or -sounding results. Official guidance does not establish a universal accuracy rate for judging deepfakes by these clues.
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1. Warping or visual distortion
Watch for parts of a face or image that blur, bend, or change unnaturally from one frame to the next. The FBI lists visual distortion and warping as possible clues, not proof. FBI guidance on artificial intelligence
2. Lighting, shadows, or color that do not fit
Notice whether a face or object seems lit differently from its surroundings, or whether shadows and colors behave inconsistently. The FBI and Google both identify inconsistent lighting or shadows as possible artifacts. Google’s guidance on verifying AI-generated media
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3. Fine details that break down
Garbled text or inconsistent details—such as hands, teeth, or background elements—can justify a closer look. These defects are not unique to AI and cannot authenticate a clip on their own. Google’s guidance on verifying AI-generated media
4. Unnaturally repeated patterns
Look for textures or background details that seem to recur mechanically. Google lists unnatural repetitive patterns as a possible sign, but a pattern alone does not establish how a video was made. Google’s guidance on verifying AI-generated media
5. Audio that sounds wrong for the scene
Listen for choppy sentences, unnatural pauses, odd inflections or phrasing, changes in voice pitch, or background noise that does not fit the scene. The FBI describes these as possible synthetic-audio clues. A mismatch between audio and image is a reason to investigate further, not a verdict. FBI guidance on artificial intelligence
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- Trace the source. Search for the subject and claim, or take representative frames and run a reverse image search, to look for an earlier upload or a longer version. Check the uploader, date, location, and context independently. Google recommends reverse image search to find original or similar images; a match—or no match—is not a verdict. Google’s verification guidance
- Seek independent corroboration. Check whether reputable outlets or the people and organizations supposedly involved have published the same footage or addressed the claim. Compare the complete context rather than relying on a short repost. Corroboration is a verification practice, not mechanical proof of authenticity.
- Check provenance if you can access the original file. Inspect its metadata and look for Content Credentials where supported. Credentials can record information about origin, edits, and AI use, but they are optional and a file’s provenance may be incomplete. Missing credentials do not show that a video is fake. Google’s verification guidance C2PA’s Content Credentials explainer, specification 2.2
- Read AI-tool results narrowly. Google’s Gemini SynthID check concerns content generated or edited by Google AI models. A result that detects no watermark does not rule out content made with other AI systems. Content Credentials also require compatible files and product support. Google’s verification guidance
What verification methods can—and cannot—tell you
| Method | Can help establish | Does not establish | Key limitation |
|---|---|---|---|
| Visual or audio inspection | Whether a clip contains anomalies worth investigating | Whether AI made the clip, or whether its claims are true | Ordinary recording and editing can also create anomalies; no universal accuracy rate is established in the cited guidance. |
| Source search and corroboration | Whether earlier versions, fuller context, or independent accounts are available | Authenticity by itself | A search result or lack of one is not a verdict, and reposts may omit context. |
| SynthID check in Gemini | Whether Google’s check detects a SynthID watermark associated with Google AI-generated or edited content | Whether other providers’ AI made the content, or whether the scene is true | Its stated scope is Google AI models; a negative result does not rule out other AI generation. |
| Content Credentials | Available provenance information, such as origin or recorded edits | Whether the depicted event happened or is accurately contextualized | Credentials are optional, may be incomplete, and require compatible support. |
Provenance is not a truth test
Content Credentials are cryptographically bound provenance records that can contain assertions about a file’s origin, modifications, and AI use. They are designed to convey provenance, not judge whether a scene is true. As the Coalition for Content Provenance and Authenticity (C2PA) explains, “Content Credentials do not provide value judgments about whether a given set of provenance data is ‘true’, but instead merely whether the provenance information is well-formed and free from tampering, valid and trusted (in that the signer of the Content Credential is associated with a known trust list).” Credentials complement fact-checking and media literacy; they are not a cure-all for misinformation. C2PA and Content Credentials Explainer, specification 2.2
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Legal disclosure rules depend on where you are
The European Commission’s Article 50 FAQ discusses deepfakes, machine-readable marking, and separate disclosure obligations in the context of the EU AI Act. Those obligations are EU-specific; they should not be treated as a global rule. European Commission FAQ on transparency obligations under Article 50 of the AI Act
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