
AWS intelligent document processing enhanced with generative AI enables automated classification, extraction, and enrichment of documents at scale using foundation models, reducing manual effort and errors while improving accuracy and speed.


<div><p>This article explains how to enhance intelligent document processing (IDP) with generative AI using AWS services like Amazon Textract and foundation models.</p><ul><li>Generative AI automates document classification, extraction, and enrichment without manual training</li><li>Amazon Textract extracts text from documents; foundation models normalize fields and summarize data</li><li>Event-driven serverless architecture uses Lambda, Step Functions, and EventBridge for automation</li><li>Foundation models flag errors like missing digits and transform varying formats to standard templates</li><li>Sample application demonstrates document summarization workflow using SageMaker endpoints</li><li>Distributed map feature enables large-scale parallel document processing at reduced costs</li></ul><p>AWS IDP with generative AI enables organizations to process documents faster, more accurately, and cost-effectively at scale.</p></div>


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