Optical Character Recognition (OCR) has come a long way from simple rule-based systems. Modern AI models, particularly deep learning architectures like Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers, are transforming how we extract text from images and documents. This evolution brings unprecedented accuracy and the ability to understand complex layouts and semantics, moving beyond mere character recognition to true document intelligence.