Doc Extraction
Document Extraction Pro delivers production-grade, confidence-aware extraction of structured business data (e.g., line items, totals, dates) from complex invoices, receipts, and multi-page PDFs—going beyond basic OCR to preserve layout semantics and validation-ready fidelity. It leverages Nanonets’ docstrange for high-accuracy markdown/JSON output with per-field confidence scoring, Veryfi’s documents-ai for real-time, domain-optimized financial document parsing, and Arya Model Router to dynamically route extraction tasks between models based on document complexity, cost constraints, and accuracy SLAs—ensuring optimal precision, latency, and token efficiency.
What this workflow covers
This page groups multiple AI agent skills into one practical workflow. Use it when you care about the outcome, not just a single tool name. Start with the recommended stack below, then open the related articles for examples and implementation ideas.
Suggested workflow
- 1Clarify the task and success criteria for Doc Extraction.
- 2Pick 3–5 complementary skills instead of relying on one generic tool.
- 3Run the workflow, review output quality, and replace weak skills with better matches.