As AI image generation improves, finding deepfakes becomes harder. Expert tools struggle to reliably identify AI-generated images with 100% accuracy. Understanding the technical signs of deepfakes and using available detection tools can help identify synthetic content. When you find content you believe is a deepfake of you, the important step is not proving it is AI-generated, it is finding where your face appears online.

Visual signs of AI-generated images

Early deepfakes showed tell-tale signs: blurry edges around hair, inconsistent ear shapes, symmetry artifacts, and unnaturally smooth skin. Modern diffusion model-based AI has largely eliminated these obvious signs. Today's most reliable visual indicators include inconsistent lighting on faces vs. backgrounds, subtle jewelry or accessory inconsistencies, background repetition patterns, and irregular text or numbers in images.

Video deepfake detection

Video deepfakes show temporal artifacts, inconsistent eye blinking patterns, unnatural head movements, and color inconsistencies between face and neck. Audio deepfakes (voice cloning) may have robotic cadence or background noise artifacts. Real-time deepfake detection during video calls has become an active area of development.

Deepfake detection tools

Several tools provide automated deepfake detection: Microsoft's Video Authenticator, Intel's FakeCatcher, and various academic tools. Commercial platforms like Sensity AI provide professional-grade detection. Detection accuracy varies by model quality and image type, no tool is 100% reliable against the most advanced generation models.

What to do if you think you found a deepfake of yourself

You do not need to prove an image is AI-generated to find where your face appears online. Upload your face photo to ScanErase to scan all 200+ platforms. Your exposure report will help you identify where your face shows up, regardless of whether the content is authentic or synthetic.

Frequently asked questions

Can AI tools reliably find deepfakes?

Current AI detection tools achieve high accuracy on older deepfake models but struggle with the most recent diffusion model outputs. The technology is an ongoing arms race. For finding your face on platforms, you do not need to prove a deepfake is synthetic, you only need to identify the content.

What if a deepfake is so realistic that platforms say it might be real?

Finding your face on platforms applies regardless of whether content is authentic or AI-generated. Platforms cannot refuse to acknowledge the report by claiming they cannot determine if content is a deepfake.