Amazon Bedrock automates document extraction refinement in minutes
Give it 3–10 example docs and BDA optimizes extraction instructions automatically.
Extracting structured data from unstructured documents (invoices, contracts, tax forms) remains a challenge for enterprises. Accuracy drops when documents deviate from expected templates, vendor formats vary, or scan quality is poor. Traditionally, teams manually iterate on extraction instructions — testing phrasings, comparing results, adjusting — a process that can take weeks per document type, especially when handling hundreds of vendors.
Amazon Bedrock Data Automation’s new blueprint instruction optimization automates this refinement loop. Provide three to ten representative documents with expected values (ground truth), and BDA analyzes discrepancies between its extractions and your truth, then refines the natural language instructions for each field. The workflow runs in minutes via the Amazon Bedrock console or API, with no separate fine-tuning required. Best practices include including edge cases and focusing on fields where extraction has been challenging. This feature directly improves accuracy for fields like purchase order numbers, dates, and totals, enabling faster deployment of intelligent document processing pipelines.
- Refines extraction instructions using 3–10 example documents with ground truth values.
- Reduces manual iteration from weeks to minutes, handling format and layout variations.
- No separate model fine-tuning required; runs via Amazon Bedrock console or API.
Why It Matters
Speeds up document processing automation for enterprises dealing with diverse vendor formats and edge cases.