ImgFact is an image evidence intelligence platform designed for legal teams, insurance investigators, real estate professionals, and financial institutions. We built it because professionals working with image evidence needed a serious first-pass forensic workflow — not a consumer AI toy.
AI-generated images have reached a level of photorealism that makes visual inspection unreliable. Insurance investigators are reviewing claim photos that look completely genuine but contain subtle generation artifacts invisible to the human eye. ImgFact exists to close that gap.
Photorealistic synthetic and manipulated images are increasingly difficult to detect by eye. ImgFact gives review teams a structured first-pass workflow: analyze the image, inspect the supporting signals, document the result, and decide whether the matter should proceed, pause, or escalate for expert review. The goal is not to replace a forensic expert — it is to give every reviewer a defensible, documented starting point.
ImgFact was created by Priyadarshi Gavali, a software developer and MS candidate in Computer Information Systems (Business Intelligence Systems) at Colorado State University. The platform was built after observing firsthand how AI-generated and manipulated images were entering professional workflows — insurance claims, legal proceedings, real estate transactions — without any structured verification process. ImgFact is the forensic workflow that should have existed already.
ImgFact runs a hybrid forensic engine (IFE-4.7) that combines classical image forensics with AI-assisted visual analysis. Every scan produces a verdict, confidence score, and a full breakdown of the signals that drove it.
Five free scans included. No credit card required. Built for professionals who need a credible, documented first-pass image review workflow.
5 free scans. No credit card required.