AI-generated portraits have become remarkably convincing. From social media catfishing to fake LinkedIn profiles, synthetic faces are appearing everywhere online. Websites like ThisPersonDoesNotExist demonstrated years ago how convincing AI-generated faces could be, and today's models have raised the bar even further. But no matter how advanced the technology gets, there are still patterns and tells you can learn to recognize.
Two main approaches power most AI-generated faces today. StyleGAN, developed by NVIDIA, works by mapping random noise through a series of transformations to produce photorealistic images. Diffusion models, used in tools like Stable Diffusion and Midjourney, take a different approach by starting with pure noise and gradually refining it into a coherent image. Both methods can produce stunning results, but each leaves behind subtle fingerprints that trained observers can detect.
If you want to understand the technical side in more detail, check out our guide on how AI image generators work.
Even the best AI portrait generators leave clues. Here are the key areas to examine:
For a broader overview of detection techniques across all image types, see our article on how to spot AI-generated images.
Fake portraits are not just a curiosity. They power romance scams, fake reviews, political disinformation campaigns, and fraudulent business profiles. Being able to distinguish real faces from synthetic ones is a practical skill that protects you from manipulation. The stakes are real, and the ability to critically evaluate portrait images is becoming as important as basic media literacy.
Want to see how AI detection fits into the bigger picture? Read about why AI detection matters in our blog.
Think you can tell a real face from an AI-generated one? Put your skills to the test with our portrait challenges in the Which One is AI app.
You might also be interested in our challenges for celebrity deepfake detection and AI fashion model photos, which apply many of the same principles to more specialized contexts.
The easiest giveaway is often the background and hair boundary. AI portraits frequently show smeared or warped areas where hair meets the background, along with strange floating strands or abrupt transitions that look unnatural.
Yes. Early GAN-generated faces had obvious artifacts, but modern diffusion models produce highly realistic results. However, subtle tells remain if you know where to look, such as asymmetric ears, inconsistent jewelry, and irregular skin pore patterns.
Yes. Because AI-generated faces are entirely synthetic, they will not match any existing image in a reverse search. This means reverse image search cannot confirm a face is real, but it can help rule out known stock photos or stolen images.
Teeth are complex structures with precise geometry, translucency, and individual variation. AI models often struggle to render them correctly, resulting in blurred boundaries between teeth, extra or merged teeth, or an unnatural uniformity across the entire row.