Uses machine vision, AI, proprietary rules, and a rich document library to verify the authenticity of ID documents such as driver's licenses, state IDs, and passports. It corrects issues like bad angles, blurriness, and light reflection, and processes documents in 0.9 seconds on average. The solution extracts data from barcodes, checks templates against official versions, validates fonts and data consistency, and ensures images are not doctored. It is designed to prevent identity fraud and enhance security for organizations by providing efficient and accurate identity verification.