Risk Forensics: Dual-Engine AI to Triage Your Liabilities

Our dual-engine approach combines reverse image search (which checks against billions of indexed images) with Vision AI (which detects manipulated versions). This produces significantly more accurate results than either method alone. We explicitly show you the evidence behind each score so you can verify the assessment.

Yes. Our Vision AI is specifically designed to detect images that have been flipped, resized, cropped, color-adjusted, or filtered. Enforcement agencies like PicRights use the same kind of technology to find infringements—our engine matches their capability to level the playing field.

Your scored inventory becomes a prioritized work queue. Filter by "High Risk" to focus on the images that need immediate attention. For each flagged image, you can investigate the source, locate or purchase the license, upload proof to the Proof Vault, and update the compliance status.

Yes. Our Vision AI flags images containing recognizable faces, corporate logos, and trademarked landmarks. These assets often require additional model or property releases beyond standard stock licenses, representing a separate category of legal exposure.

Yes. We use two signals together—a visual model that spots semi-transparent overlays and a text read of any embedded wording—to flag stock-agency and copyright watermarks across roughly 50 providers, including Getty, Shutterstock, and Dreamstime. When the watermark text is readable, we also surface the likely source library so you can prioritize that image. Treat a detected watermark as strong origin evidence to investigate, not as a verdict that an image is unlicensed. The named source is inferred from the text we could read in the image—it is a best-effort identification, not verified provenance—and very small, low-contrast, or image-only marks can be missed.

It extracts the text rendered inside your image pixels—embedded credit lines like “© John Smith Photography” or “Image: Getty,” “sample” and “proof” overlays, copyright notices, and stock-ID strings—and makes that text searchable and filterable in your report. Because this text lives in the pixels rather than the page HTML or alt text, a standard site audit never sees it, and it often survives even after metadata is removed. The presence of text is a forensic signal to act on, not proof of infringement; stylized, rotated, or low-resolution text may be missed or misread.