AWS Bedrock Data Automation extracts insights from complex documents at scale
Process up to 3,000 pages per request with contextual understanding.
Deep Dive
Amazon Bedrock Data Automation (BDA) extracts meaningful insights from multimodal content (documents, images, videos) and understands document context, validates extracted data, and provides confidence scores—unlike traditional OCR. It supports up to 3,000 pages and 500 MB per API request. BDA automates classification, extraction, and validation, removing the need for manual document sorting. The solution uses Step Functions for orchestration and records document metadata in Amazon DynamoDB for tracking and audit trails.
Key Points
- BDA supports up to 3,000 pages and 500 MB per single API request.
- Extracts context and relationships, not just text — with confidence scoring.
- Integrates with AWS Step Functions and DynamoDB for automated, auditable workflows.
Why It Matters
Automates document processing at scale, reducing manual bottlenecks and costs for enterprises.