Amazon Bedrock Data Automation (BDA) is designed to extract meaningful insights from complex documents, addressing limitations of traditional OCR systems. Organizations process millions of documents daily, from insurance claims to medical records, but conventional methods struggle with contextual understanding and data validation. BDA overcomes these challenges by automating tasks like classification, extraction, and validation through a unified API. This service supports file formats such as PDFs and scanned documents, with the ability to handle up to 500 MB per request, making it suitable for large-scale operations. By integrating generative AI with orchestrated workflows, BDA transforms document processing workflows with minimal development effort. Source: awsml
The input processing layer forms the foundation of the solution, managing document reception and routing through Amazon S3 buckets. When documents arrive, BDA splits them along logical boundaries, classifies sections, and matches them to predefined blueprints. This intelligent routing eliminates the need for manual sorting and model orchestration. AWS Step Functions orchestrates the workflow, providing visibility and control throughout the process. The system records metadata in Amazon DynamoDB for tracking and audit trails, including file type, size, submission time, and processing status. Page count analysis helps optimize processing strategies, with BDA handling documents up to 3,000 pages. The workflow launches asynchronous BDA jobs using the InvokeDataAutomationAsync API, enabling efficient resource utilization and concurrent processing of thousands of documents. Source: awsml
The extraction and storage layer is central to the solution, where BDA serves as the core engine for transforming raw content into structured data. BDA offers two output options: standard output, which provides summaries and generative insights, and custom output with blueprints for specific document types. Blueprints define extraction fields, formats, and instructions, allowing precise control over output. Projects can include up to 40 blueprints, enabling the processing of diverse document types like invoices and contracts within a single workflow. BDA also supports cross-region inference, visual grounding, and confidence scores for accuracy. Source: awsml
