Extract Delivery Note with OCR Accuracy Comparison — AI vs Traditional OCR

Learn how to extract Delivery Note data programmatically using OCR Accuracy Comparison — AI vs Traditional OCR. Extract structured data from delivery notes (albaranes): supplier, items, quantities, dates. Includes code, field mapping, and API integration.

Extracting Delivery Note Data

Proof of delivery document (albaran in Spanish) detailing what was delivered. Used for inventory reconciliation and client billing.

Extracted Fields

supplier_name, supplier_nif, customer_name, document_number, issue_date, line_items, total_quantity, delivery_date, signature.

Integration with OCR Accuracy Comparison — AI vs Traditional OCR

Traditional OCR engines like Tesseract achieve 70-80 percent character accuracy on clean typed documents. Accuracy drops significantly with low-quality scans, unusual fonts, and handwritten content. AI vision models achieve 95-99 percent field-level accuracy because they understand document context and structure, not just individual characters.

Pricing

From 0.002 EUR per Delivery Note page. [See pricing](/tutorials/comparisons/volume-pricing).

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