AI OCR, IDP and Document Recognition

Manual passport verification is a slow and costly process prone to human error. Artificial intelligence technologies fully automate verification: systems recognize the document in less than a second, extract data via AI-OCR with an accuracy of up to 99%, validate it against official databases, and biometrically match the owner's face with the photo in the passport. In this article, we take a detailed look at each stage of automatic online verification — from image requirements to the final decision on identity verification.

In KYC processes, even minimal errors in AI OCR and MRZ verification turn into serious consequences: the rejection of legitimate customers, rising operating costs for manual verification, and the risk of letting forged documents through. An accuracy of 98% means two incorrect results for every hundred checks — a critical figure for financial services with thousands of registrations daily. In this article we break down the nature of typical AI OCR and MRZ validation problems, explain the mechanisms behind them, and offer practical methods of prevention at each stage of remote identification.