Extract Data with On-demand and Batch Pipelines Dynamically

AWS published an engineering guide for an intelligent document processing pipeline on Amazon Bedrock that lets a business choose speed or savings for each document. On-demand inference returns extracted fields within seconds for urgent work, while batch inference runs documents in bulk at a price 50% lower than the on-demand path. With parallelism turned on, the batch pipeline handles 1,000 documents within 15 minutes and uses Claude Sonnet 4 to read the pages.