Extract Cmr with OCR Accuracy Comparison — AI vs Traditional OCR

Learn how to extract Cmr data programmatically using OCR Accuracy Comparison — AI vs Traditional OCR. Step-by-step tutorial to extract structured data from CMR international consignment notes. Includes code, field mapping, and API integration.

Extracting Cmr Data

A CMR (Convention Merchandises Routiers) is the international consignment note used for road freight across Europe. 24 standardized fields covering sender, receiver, carrier, goods, weight, signatures.

Extracted Fields

Upload your CMR (PDF or photo). System auto-detects document type and selects the best model. Handwritten CMRs use Gemini native PDF vision.

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 Cmr page. [See pricing](/tutorials/comparisons/volume-pricing).

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