Process financial documents using Amazon Bedrock Data Automation
Machine Learning Blog
This article demonstrates how Amazon Bedrock Data Automation (BDA) extracts data from financial documents using custom blueprints and foundation models.
- BDA automates extraction, validation, and analysis of financial documents with high accuracy
- Custom blueprints define extraction patterns tailored to specific organizational workflows
- Successfully extracted data from bank statements, W-2 forms, 1099-B forms, and vendor contracts
- BDA provides contextual understanding beyond OCR, recognizing relationships between document sections
- Output available in JSON, CSV, and raw data formats for diverse integration needs
- Built-in hallucination mitigation and visual grounding with confidence scores for explainability
Amazon Bedrock Data Automation enables financial institutions to automate document processing at scale, reducing manual data entry errors and streamlining downstream workflows like accounting reconciliation and tax processing.
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