Document processing automation involves using technology to streamline the handling, categorization, and extraction of data from documents. This process typically uses tools like optical character recognition (OCR) and machine learning algorithms to quickly convert physical or digital documents into structured, actionable data. By automating repetitive tasks, document processing automation reduces manual effort, increases speed, and minimizes human errors. It’s widely used in industries such as finance, healthcare, and legal services to enhance efficiency and improve accuracy in managing large volumes of documents.
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