Optical Character Recognition

Optical Character Recognition focuses on converting printed or handwritten text from images, scanned documents, and PDFs into machine-readable and editable digital formats. It enables organizations to automate data extraction, reduce manual data entry, and improve document processing efficiency. This training explains how OCR systems work using image preprocessing, text detection, character segmentation, and pattern recognition techniques. It also covers machine learning and deep learning approaches for improving recognition accuracy, including handling different fonts, languages, and noisy images. You will learn how enterprises use OCR in document digitization, invoice processing, identity verification, and data entry automation. The course also highlights best practices for building accurate, scalable, and production-ready OCR solutions.