Document Verification System

ABSTRACT The Document Verification System is a web-based solution developed to streamline and enhance the process of verifying official documents with accuracy and efficiency. Built using modern web technologies including HTML, CSS, JavaScript, Node.js and integrated with Optical Character Recognition (OCR) capabilities, the system aims to automate and simplify document validation. Users can upload scanned copies or images of documents such as ID proofs, academic certificates, or business records. The system utilizes OCR to extract text content from the uploaded files and cross-verifies the extracted data with predefined databases or input patterns. Our platform offers a clean and interactive UI that ensures an intuitive experience for users at all technical levels. The key features of the system include document upload, real-time text extraction using OCR, validation checks for authenticity, and feedback generation. It highlights inconsistencies in documents, flags potential forgeries, and provides users with detailed verification reports. If a document fails verification, suggestions or next steps (like manual review or re-upload) are provided. This project is especially useful for institutions, HR departments, academic bodies, and service providers who regularly handle document submissions and need a reliable way to verify them. It ensures accuracy, reduces manual workload, and prevents fraud through automated and intelligent processing. The primary goal is to offer a secure, scalable, and user-friendly document verification solution.