Extract Cmr with What is OCR? Complete Guide to AI Document Extraction for Logistics

Learn how to extract Cmr data programmatically using What is OCR? Complete Guide to AI Document Extraction for Logistics. 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 What is OCR? Complete Guide to AI Document Extraction for Logistics

Optical Character Recognition (OCR) is a technology that converts printed or handwritten text from scanned documents, PDFs, and images into machine-readable digital data. In its simplest form, OCR identifies letters, numbers, and symbols in an image and translates them into encoded text that computers can process, search, and store. Modern OCR has evolved far beyond basic text recognition — today's AI-powered OCR engines use deep learning and neural networks to understand document layout, extract key fields, and even interpret contextual meaning.

For logistics companies dealing with mountains of paper documents like bills of lading, packing lists, and customs forms, OCR eliminates manual data entry and dramatically accelerates workflows. Rather than having staff type information from printed documents into ERP systems, OCR captures the data in seconds. Combined with intelligent document processing (IDP), OCR can classify document types automatically and route extracted data to the correct systems. To see how OCR applies to a key transport document, read our guide on [CMR document OCR](/tutorials/cmr-ocr).

Pricing

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

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