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Intelligent OCR System for Handwritten Government Document Digitization
The project Intelligent OCR System for Handwritten Government Document Digitization proposes a digital approach for transforming handwritten government records into structured and editable text. This traditional practice increases processing time, creates dependency on human effort, and makes searching, storing, and reusing document content difficult. To address these limitations, the proposed system introduces an OCR-driven document digitization framework that automates handwritten text extraction and organizes the processed output in digital form.The system is implemented as a web application using HTML, CSS, and JavaScript for the user interface, FastAPI for backend services, and MongoDB Atlas for persistent data storage. For handwritten text recognition, the system integrates Gemini Vision OCR, and a translation component is included to convert extracted text into English when needed. The core methods used in the project include OCR-based text recognition, image preprocessing for improving input quality, translation of extracted text, database-based record management, and document export generation. The proposed solution minimizes manual work, improves accessibility of handwritten records, and supports faster retrieval and reuse of document content.
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