Amazon Bedrock Data Automation (BDA) speeds up processing for documents, images, video, and audio. The service removes manual steps like classification and validation, letting teams focus on insights rather than data prep.

Two key use cases show BDA’s potential. In mortgage lending, it breaks down large PDFs into individual files, classifying and extracting data with minimal errors. For medical claims, BDA pulls fields from forms and integrates with Bedrock Agents for verification.

Organizations can configure standard outputs or build custom blueprints for specific needs. Granularity ranges from word-level extraction to full summaries. Pre-built schemas exist for common documents like paystubs and insurance cards.

Developers should explore the updated workshop notebooks on GitHub. The service supports flexible formats including markdown and CSV. BDA also integrates with Aurora and Knowledge Bases for deeper workflows.