Quick answer
AI-generated images can contain visual artifacts, metadata inconsistencies, and statistical patterns that detection tools evaluate as probabilistic signals.
Upload any photo and get a five-signal forensic report: AI generation probability, deepfake risk, metadata integrity, image origin, and semantic consistency. Covers Midjourney, DALL-E 3, Stable Diffusion, Flux, Imagen, and more.
An AI image detector doesn't look at a photo the way a person does. It runs the file through several independent checks simultaneously — examining pixel statistics, compression patterns, embedded metadata, face regions, and visual semantics — then combines those signals into an overall probability estimate.
The result is not a binary yes or no. It is a weighted report that shows which signals triggered, how strong each one is, and what confidence level the system assigns. That lets you decide how much weight to put on the finding.
PhotoProof AI runs five checks in parallel on every uploaded image. Because each check is independent, a strong signal from one can reinforce a weaker result from another — and a single failure is less likely to produce a wrong verdict.
Despite improving rapidly, AI-generated images still leave traces. Hands are the most common tell — fingers that merge, extra joints, palm proportions that don't follow anatomy. Ears often show similar distortion. Text embedded in images is frequently garbled. Backgrounds sometimes repeat the same texture patch in ways real photography never does.
None of these signs are definitive alone. A real photo with unusual hands can look suspicious. A carefully refined AI image may pass visual inspection. That is why forensic analysis across multiple signals matters more than eye-checking alone.
No AI image detector reaches 100% accuracy. Detection gets harder when images are compressed, resized, converted, or processed through another tool after generation. A JPEG saved at low quality loses some of the subtle artifact patterns that detection relies on.
Accuracy depends on image quality and how the image was produced. Uncompressed AI images from known generators like Midjourney or DALL-E show clear signals. Low-resolution screenshots of AI images, or images edited after generation, produce lower confidence results. No public detector claims perfect accuracy.
Yes. Running AI output through upscalers, applying photo filters, or manually editing AI images in traditional tools can reduce detection signals. PhotoProof AI uses five independent signals to make this harder — defeating all five simultaneously is more difficult than defeating one.
The forensic signals are calibrated against Midjourney v5 through v7, DALL-E 2 and 3, Stable Diffusion 1.5 through SDXL and SD3, Flux.1, Adobe Firefly, Google Imagen 3, and several others. Coverage expands as we calibrate against new model releases.
PhotoProof AI accepts JPG, PNG, and WEBP files. For best results, upload the original uncompressed file. Screenshots and heavily re-saved JPEGs reduce signal quality.
Images are processed temporarily for analysis. We do not train on uploaded images or sell access to them. Reports save probability scores and findings, but not the original pixel data.
No. PhotoProof AI generates probability reports for screening and research. They are not certified forensic expert reports and are not suitable as standalone legal evidence.
Create an account to get 3 free analysis credits. Every image gets all five forensic signals in one report.
AI-generated images can contain visual artifacts, metadata inconsistencies, and statistical patterns that detection tools evaluate as probabilistic signals.
AI-generated images can contain visual artifacts, metadata inconsistencies, and statistical patterns that detection tools evaluate as probabilistic signals.
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