OCR Studio's approach addresses this gap by analysing not only individual document fields but the overall visual consistency of the submitted identity document. A neural network identifies local anomalies by assessing whether specific regions deviate from the surrounding image structure. From a single document photograph, the system detects signs of tampering, extracts the date of birth from the authenticated document, and automatically calculates whether the holder meets the required age threshold. In addition, the entire verification process runs locally on the user's device (whether smartphone, tablet, or computer) without requiring an internet connection. Document images and personal data are neither stored nor transmitted to external servers, cloud platforms, or crowdsourcing services. According to the company, this architecture is designed to support compliance with GDPR and other European and international data protection frameworks, while allowing businesses to maintain full control over personal data handling. Moreover, through the process of combining document authenticity checks with automated age calculation in a single on-device pipeline, the system targets the compliance requirements of digital service providers operating in regulated content categories, including platforms subject to EU-level child protection obligations.