Intelligent document processing (IDP) has seen widespread adoption across enterprise and government organizations. Gartner estimates the IDP market will grow more than 100% year over year, and is projected to reach $4.8 billion in 2022.
IDP helps transform structured, semi-structured, and unstructured data from a variety of document formats into actionable information. Processing unstructured data has become much easier with the advancements in optical character recognition (OCR), machine learning (ML), and natural language processing (NLP).
IDP techniques have grown tremendously, allowing us to extract, classify, identify, and process unstructured data. With AI/ML powered services such as Amazon Textract, Amazon Transcribe, and Amazon Comprehend, building an IDP solution has become much easier and doesn’t require specialized AI/ML skills.
In this post, we demonstrate how to use Amazon Textract to extract meaningful, actionable data from a wide range of complex multi-format PDF files. PDF files are challenging; they can have a variety

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