Optical Character Recognition using PaddleOCR

Reading huge documents can be very tiring and very time taking. You must have seen many software or applications where you just click a picture and get key information from the document. This is done by a technique called Optical Character Recognition (OCR). Optical Character Recognition is one of the key researches in the field of AI in recent years. Optical Character Recognition is the process of recognizing text from an image by understanding and analyzing its underlying patterns. This blog post will focus on implementing and comparing various OCR algorithms provided by PaddleOCR using just a few lines of code. Optical Character Recognition is the technique that recognizes and converts text into a machine-readable format by analyzing and understanding its underlying patterns. OCR can recognize handwritten text, printed text and texts "in the wild". In short, OCR enables computers to read. But how does OCR work? OCR makes use of Deep learning and computer vision techniques.