Our OCR Solution redefines document processing by automating data extraction from scanned images and PDFs with high accuracy, speed, and multilingual support for enterprise workflows.

Mobitech India Pvt. Ltd. approached us to develop a high-performance OCR (Optical Character Recognition) system capable of accurately parsing data from a wide range of documents commonly used for identity verification in India. From Aadhaar and PAN cards to Driving Licenses and Registration Certificates, the goal was to create a robust, AI-powered engine that could handle both structured and unstructured formats with precision.

Existing OCR solutions failed to meet the accuracy and localization needs of Indian document types. Variations in layouts, fonts, languages, and image quality created major hurdles in consistent data extraction. Mobitech needed a solution that could scale and adapt to these challenges while offering modular flexibility for integration across different products.

We built an intelligent OCR platform capable of scanning, reading, and extracting structured data from invoices, IDs, receipts, and official documents. The system uses advanced machine learning models to improve accuracy with every use and supports multiple languages. Key features include real-time text recognition, error detection, field tagging, and seamless integration with enterprise CRMs and databases.

This project pushed the boundaries of localized OCR development. By prioritizing Indian document types and real-world conditions, we delivered a solution that not only meets today’s demands but is future-ready. The modularity and accuracy of the system make it a valuable asset in digital identity workflows — and a strong example of how AI can streamline compliance-heavy processes.