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Intelligent document processing According to Fortune Business Insights , the intelligent document processing industry is projected to grow from USD 10.57 IDP is powering critical workflows across industries and enabling businesses to scale with speed and accuracy. billion in 2025 to USD 66.68
Document processing has witnessed significant advancements with the advent of Intelligent Document Processing (IDP). With IDP, businesses can transform unstructured data from various document types into structured, actionable insights, dramatically enhancing efficiency and reducing manual efforts.
However, they’re unable to gain insights such as using the information locked in the documents for large language models (LLMs) or search until they extract the text, forms, tables, and other structured data. The AWS CDK construct provides a resilient and flexible framework to process your documents and build an end-to-end IDP pipeline.
Solution overview To solve this problem, you can identify one or more unique metadata information that is associated with the documents being indexed and searched. In Amazon Kendra, you provide document metadata attributes using custom attributes.
Intelligent document processing (IDP) is a technology that automates the processing of high volumes of unstructured data, including text, images, and videos. Naturallanguageprocessing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience.
Most observations are simple name/value pair assertions with some metadata, but some observations group other observations together logically, or could even be multi-component observations. For more information, refer to How do I turn on HealthLake’s integrated naturallanguageprocessing feature.
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