Optical Character Recognition
Optical Character Recognition (OCR) is a technology that converts different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. It works by analyzing the shapes and patterns of characters in an image and translating them into machine-encoded text. This enables automated data extraction from physical or digital documents without manual typing.
Developers should learn OCR when building applications that need to process documents, automate data entry, digitize archives, or extract text from images for search indexing. Specific use cases include invoice processing systems, automated form filling, license plate recognition, and making scanned books searchable. It's essential for projects involving document management, compliance automation, or any system that bridges physical and digital information.