Extract Cmr with Batch OCR Processing: Extract Multiple Documents at Scale

Learn how to extract Cmr data programmatically using Batch OCR Processing: Extract Multiple Documents at Scale. 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 Batch OCR Processing: Extract Multiple Documents at Scale

Processing a single document with OCR is straightforward. But when you have hundreds or thousands of invoices, receipts, or contracts arriving daily, sequential processing becomes a bottleneck. Batch OCR processing solves this by handling multiple documents concurrently, dramatically reducing total processing time.

A well-designed batch OCR system lets you submit documents in bulk, process them in parallel, and retrieve results asynchronously. This is essential for accounts payable departments, document digitization projects, and any workflow where document volume scales over time.

Batch processing also simplifies monitoring and error handling. Instead of managing hundreds of individual API calls, you submit one batch job and track its progress from a single dashboard. Failed documents can be automatically retried or flagged for manual review.

Pricing

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

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