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. ImgFact gives reviewers a structured, documented first check instead of a judgement by eye.
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's forensic engine (IFE-5.0) runs three independent checks on every image. Each scan produces a verdict, a confidence score, and the reasons behind it: which checks found something and which did not. No single check can label an image AI-generated on its own.
Five free scans included. No credit card required. Built for professionals who need a credible, documented first-pass image review workflow.