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Optical character recognition (OCR) has long been utilized by companies to convert images of documents into text by scanning characters individually. However, the advent of artificial intelligence has led to the development of intelligent document processing (IDP), which significantly enhances the capabilities of OCR. IDP not only converts documents into structured data quickly but also comprehends the context and meaning of the information within them, such as identifying names, dates, and signatures—something OCR cannot do. Furthermore, IDP improves over time by integrating machine learning, pattern recognition, robotic process automation, and various forms of recognition, enabling it to automatically classify and validate data.
