“Intelligent document processing (IDP) solutions extract data to support automation of high-volume, repetitive document processing tasks and for analysis and insight. IDP uses natural language technologies and computer vision to extract data from structured and unstructured content, especially from documents, to support automation and augmentation.”  – Gartner
The goal of Amazon’s intelligent document processing (IDP) is to automate the processing of large amounts of documents using machine learning (ML) in order to increase productivity, reduce costs associated with human labor, and provide a seamless user experience. Customers spend a significant amount of time and effort identifying documents and extracting critical information from them for various use cases. Today, Amazon Comprehend supports classification for plain text documents, which requires you to preprocess documents in semi-structured formats (scanned, digital PDF or images such as PNG, JPG, TIFF) and then use the plain text output to run inference with your custom classification model.

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