Evolution of Data Extraction: From Optical Character Recognition (OCR) to Intelligent Document Processing (IDP)
By SortSpoke — Data extraction technology has evolved greatly over the years. For a long time, Optical Character Recognition (OCR) technology was the only reliable option beyond manual data entry. OCR systems identify characters in images or photos of text and convert them into a machine-readable format so that other software packages can save, edit, and search the data. This technology laid the groundwork for more advanced Intelligent Document Processing (IDP). IDP systems go beyond simple character recognition by using machine learning (ML) to provide high-quality data extraction in addition to contextual understanding and workflow automation support. Advanced IDP systems can process structured and unstructured data, an important capability for driving digital transformation within insurance providers, streamlining operations, and enhancing efficiency. In short, OCR turns pictures of words into text; IDP turns text into actionable data. This guide explores the evolution of data extraction from its OCR roots to modern AI-powered IDP systems. It gives you the context to decide which technology is best for your agency’s data extraction needs. What is OCR? Optical Character Recognition is a technology that converts text from scanned documents, images, or photos into machine-readable text. This enables the digitization of printed materials like books...