Automated Optical Character Recognition System for Digital Document Transformation
The system must accept image uploads of various formats, preprocess images for quality enhancement, detect and recognize text regions, classify recognized text into relevant categories, and apply NLP techniques to extract structured information. The platform should support batch processing, provide visual outputs, and deliver clean, meaningful textual data for downstream use.
Deep learning frameworks such as TensorFlow or PyTorch for model development., Computer Vision techniques for text detection, recognition, and image preprocessing., Natural Language Processing tools for text cleaning and data extraction....