Multilingual OCR Document Digitization
Impact1M+ pages digitized
Pages Processed1M+
Languages6
Accuracy96%
Overview
Developed a large-scale OCR system for digitizing historical documents in multiple Indian languages including Hindi, Tamil, and Bengali. The system handles both printed and handwritten text with high accuracy.
The Challenge
The agency had millions of historical documents in various Indian languages and scripts that needed digitization. Standard OCR tools performed poorly on handwritten content and regional scripts.
The Solution
Fine-tuned transformer-based OCR models (TrOCR) on custom datasets for each language. Built preprocessing pipelines for image enhancement and layout analysis. Implemented human-in-the-loop validation for quality control.
Key Results
Digitized 1M+ pages of historical documents
96% character accuracy on printed text
Support for 6 Indian languages
Tech Stack
PythonTrOCRTesseractOpenCVFastAPIPostgreSQLAzure Blob