Delivery note OCR API that reads every line, ordered and delivered

A delivery note, called a packing slip in the US and a delivery docket in Australia, is the document that travels with a shipment and lists what it contains. It is issued by the supplier and usually shows the delivery note number, the related order or purchase order number, the supplier and customer details, the delivery address and date, and each item delivered with its reference, description and quantity. Unlike an invoice, it doesn’t usually show prices. Mindee extracts all these fields, including every line item, and returns them as structured JSON for your ERP or warehouse management system.

Not exactly. A delivery note (or packing slip) is a commercial document for the recipient: it lists the items and quantities in the delivery so they can be checked on arrival. A packing list is mainly a shipping document. Used in international trade and freight, it details how the goods are packed, with the number of packages, their content, weights and dimensions, for carriers and customs. In practice, some suppliers combine the two. Mindee recognizes both types of documents and extracts the relevant fields from each.

When goods arrive, the warehouse checks the delivery against the purchase order and records what was actually received, usually in a goods received note. Done manually, this means retyping every line of the delivery note. With Mindee, the delivery note is photographed or scanned at reception, its line items are extracted and compared automatically with the purchase order, and shortages, surplus items or unexpected references are flagged immediately. The goods receipt is then recorded in your ERP in seconds and can be used for three-way matching when the invoice arrives.

Yes. In industries such as food, pharmaceuticals, healthcare and manufacturing, delivery notes often include batch or lot numbers, serial numbers and expiry dates for each item, and these details must be recorded for traceability and recalls. Mindee extracts them line by line, together with the item reference and quantity, even on long, multi-page delivery notes. Your teams no longer need to copy these codes by hand, which is slow and a frequent source of errors, and your stock records stay accurate from the moment goods arrive.

Yes, your data is highly secured and protected during the entire conversion process. As an enterprise-grade OCR solution, Mindee takes data privacy very seriously. Here are the key security measures in place:

• Certified compliance: Mindee's infrastructure is SOC 2 Type II certified and fully GDPR compliant, ensuring strict industry standards for data protection.
• Encryption: All documents and extracted data are fully encrypted both in transit (during the API call) and at rest.
• Data localization: You have control over where your data is processed, with the option to host and process your data on either EU or US servers.
• Strict privacy: Mindee respects data confidentiality. Your processed documents are not shared with third parties, and your private data is not used to train global AI models.

In short, your sensitive documents are processed in a secure, isolated environment and remain completely under your control.

We provide a 14 days free trial so you can fully test any of our OCR models — no credit card required. After this, we offer different pricing tiers depending of the volume of pages processed and the features you might need. See the pricing page for more information.

The supported document formats are:

• PDF (application/pdf) – While technically a document format rather than an image, it is natively supported for all extraction models.
• JPEG / JPG (image/jpeg)
• PNG (image/png) – Must be non-animated.
• WebP (image/webp)
• TIFF / TIF (image/tiff) – Both single-page and multi-page TIFFs are supported and processed similarly to PDFs.
• HEIC (image/heic) – Apple's High-Efficiency Image Container format.

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📌 Important technical limitations to keep in mind:

To ensure the OCR pipeline runs smoothly and successfully returns your JSON, make sure your files adhere to the following constraints:

• Maximum file size: 100 MB per file.
• Maximum page count: Up to 200 pages per document.
• File state: The files cannot be encrypted, and PDFs must not be password-protected.