Extract Cmr with PDF to JSON: Extract Data from PDF Invoices Using OCR API

Learn how to extract Cmr data programmatically using PDF to JSON: Extract Data from PDF Invoices Using OCR API. 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 PDF to JSON: Extract Data from PDF Invoices Using OCR API

PDF invoices are one of the most common yet frustrating formats in business. They lock critical data—line items, totals, tax amounts, and vendor information—inside a layout designed for humans, not machines. Converting PDF invoices to structured JSON unlocks that data for accounting software, ERP systems, and analytics pipelines.

A modern OCR API transforms the problem. Instead of manually re-keying dozens or hundreds of invoices, you submit each PDF to an OCR endpoint that returns a clean JSON object. From there, your application can validate totals, flag discrepancies, and post entries to your ledger—all without human intervention.

Businesses that automate invoice data extraction cut processing costs by up to 80% and reduce errors from manual entry. The shift from paper or PDF to structured JSON is the foundation of any modern accounts payable workflow.

Pricing

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

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