Amazon Bedrock Data Automation extracts financial docs with AI blueprints
Automate extraction from bank statements, W-2s, and contracts with 99% accuracy
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Deep Dive
Amazon Bedrock Data Automation (BDA) uses foundation models to extract, validate, and analyze financial documents—going beyond OCR by understanding context and relationships. Custom blueprints let users define extraction fields and validation rules for bank statements, W-2 forms, 1099-B forms, and vendor contracts. Output is available in JSON, CSV, and raw data formats, with built-in hallucination mitigation and confidence scores for explainability.
Key Points
- Custom blueprints define extraction fields and validation rules for each document type (bank statements, W-2s, 1099-Bs, contracts).
- Output supports JSON, CSV, and raw data formats for flexible integration into downstream workflows.
- Built-in visual grounding provides confidence scores for extracted fields, reducing hallucination risks.
Why It Matters
Financial firms can slash manual processing costs while increasing accuracy for thousands of diverse documents daily.