How To Detect AI Generated Face Images
Patrick Bushe · May 1, 2026
AI-generated faces range from older "this person does not exist" style images, made with GAN models such as StyleGAN, to faces from newer diffusion models that look like real snapshots. Each leaves different clues.
Clues in the face
- Eyes: reflections that differ between the two eyes, irises with odd shapes, or pupils that aren't round.
- Teeth: too many, uneven, or merging into one band.
- Ears: mismatched shapes, or earlobes that blend into hair or jaw.
- Skin: unnaturally smooth, with pores that look painted or absent.
- Symmetry: one side of glasses, earrings or a collar that doesn't match the other.
Clues around the face
- Hair: strands that dissolve into the background, or a hairline that blurs.
- Background: abstract smears, warped objects or meaningless shapes.
- Other people: background faces that are distorted.
- Accessories: hats and glasses merging with the head.
GAN faces vs newer models
GAN-made faces typically show one person, centered, with the eyes in almost exactly the same position in every image, and a blurry background. Line up several suspect profile photos and the matching eye position is a giveaway. Newer models create varied angles, lighting and settings, so that trick doesn't work on them.
Better checks than looking
- Metadata: on an original file, AI Image Detector (made by Patrick Bushe, who runs this site) flags AI generator names and AI tags when you right-click the image in Chrome. Profile photos on social sites have usually been stripped.
- Reverse image search: stolen photos turn up elsewhere; AI faces usually don't.
- Context: does the person appear in other photos, videos or with friends?
- Visual detectors: services trained on AI faces can help, though accuracy varies.
See AI profile pictures and AI celebrity photos.
Related Answers
More guides on similar topics
AI Image Detection Tool For Journalists
Tools and a workflow for journalists checking if images are AI-generated: provenance, reverse search, InVID, detectors and reporting uncertainty.
ai image detector for content moderationAI Image Detector For Content Moderation
How moderation teams detect AI-generated images: provenance signals, detection APIs, risk-based policies, human review, appeals and the legal rules.
ai image detector for marketplace sellersAI Image Detector For Marketplace Sellers
Why marketplace sellers should check images for AI, how to vet supplier photos, platform rules on AI, and how to use AI images without misleading buyers.
how to detect ai generated fashion photosHow To Detect AI Generated Fashion Photos
How to spot AI-generated fashion photos and AI models: fabric, fit and hand clues, checking the brand's disclosures and why it matters when you shop.
how to detect ai generated images at scaleHow To Detect AI Generated Images At Scale
How teams check thousands of images for AI: reading provenance data first, detection APIs, thresholds, human review queues and measuring error rates.
how to detect ai generated images onlineHow To Detect AI Generated Images Online
Free online tools for checking whether an image is AI-generated, what each kind of tool actually tests, and how to read the results without being misled.