Extracting data from unstructured invoices is crucial for efficient business operations. Popular methods include Optical Character Recognition (OCR), which converts printed or handwritten text into digital data, and Intelligent Document Processing (IDP), which leverages AI to understand and categorize invoice content. Natural Language Processing (NLP) enhances these methods by interpreting context. Machine Learning models can be trained to identify patterns and automate data extraction. Additionally, Robotic Process Automation (RPA) integrates these technologies to streamline the entire process, improving accuracy and reducing manual effort.

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