Extract Cmr with OCR for Logistics: Automate Invoices, CMRs, Delivery Notes & Customs

Learn how to extract Cmr data programmatically using OCR for Logistics: Automate Invoices, CMRs, Delivery Notes & Customs. 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 for Logistics: Automate Invoices, CMRs, Delivery Notes & Customs

Logistics companies process thousands of documents daily — freight invoices, CMR consignment notes, delivery confirmations, and customs declarations. Each document type arrives in a different format, often from different carriers or suppliers, making manual data extraction slow, error-prone, and expensive. A single mismatched field on a CMR can delay cross-border shipments or trigger customs audits. OCR technology tailored for logistics solves this by automatically capturing key fields — sender, receiver, shipment reference, pallet count, weight, incoterms, and charges — from scanned PDFs, photos, and digital files. By routing documents through an OCR pipeline before they reach your ERP or TMS, you eliminate the bottleneck of manual keying and free your operations team to focus on exceptions rather than data entry.

Pricing

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

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