IDP relies on artificial
intelligence (AI) and machine learning (ML) algorithms to extract data from documents containing semi-structured
or unstructured data. The technology combines optical character recognition (OCR), natural language processing
(NLP), and ML to automate the capture, extraction, and classification of data from various document
types.
Intelligent document processing begins by scanning or photographing documents, which are then converted into
machine-readable text using OCR. The text is analyzed and processed using NLP algorithms, which can understand
the context and meaning of the text. The system can then extract data from the text using machine learning algorithms, which can recognize patterns and make predictions based on previous examples and
training data. This allows the system to extract information such as customer names, invoice numbers, or
contract terms, and convert it into structured data that can be easily accessed and analyzed.