Document Extraction
Guides, tutorials, and real-world workflows for composable document and image processing.
Human in the Loop: Using Confidence Scores to Build Reliable Document Extraction
Fully automated document extraction fails without human oversight. Per-field confidence scores let you automate the obvious cases and route uncertain ones for human review.
Extracting Structured Data from Scanned Documents: OCR Plus Field Validation
Scanned PDFs need more than OCR. Define a schema, extract typed fields with confidence scores, and validate results automatically — no regex, no templates.
Process Invoices in n8n Without Burning LLM Credits on Every Document
Most n8n invoice workflows chain OCR and LLM services that bill per token. Iteration Layer extracts structured invoice data at a fixed credit cost per document.
Best Document Extraction APIs in 2026
A developer's guide to document extraction APIs — from OCR engines to structured extraction platforms. What each tool does, where it fits, and what it costs.
Parse Documents Inside Claude and Cursor with MCP — No Code Required
Use MCP to parse invoices, contracts, and receipts directly from Claude Desktop or Cursor. No code, no server, no pipeline.
Extract IBANs, Currencies, and Addresses from Financial Documents — Validated, Not Just Strings
Purpose-built field types for financial documents. IBAN validation, structured addresses, currency amounts with codes.
The Complete Guide to Document Parsing in 2026
From regex to AI extraction — the complete guide to parsing documents programmatically. Methods, tools, and code examples.