Delivery note OCR API
Extract items, quantities and signatures from delivery notes and packing slips to match goods received against orders.
Result
Your Markdown or JSON shows up here.
What makes delivery notes hard to read
- Handwritten quantities and ticks next to printed rows
- Signatures and stamps over the table
- Photos taken on site in poor light
What you can pull out
delivery-note fields
{
"delivery_note_number": "DN-55102",
"po_number": "PO-88213",
"supplier": "Steelform Industries",
"delivery_date": "2026-11-04",
"items[]": "sku, description, qty_shipped, qty_received",
"received_by": "J. Patel",
"signature_present": "true"
}Best models for delivery notes
1Gemini FlashGeneral vision model with strong handwriting and layout understanding at a low price.
google/gemini-flash3 credits / page2Azure Document IntelligenceAzure layout model with tables, selection marks and prebuilt invoice and ID readers.azure/document-intelligence15 credits / page3Amazon TextractAWS OCR with form key-value pairs, tables and per-word confidence scores.aws/textract6 credits / pageCall it from your code
curl https://api.ocrrouter.ai/v1/ocr \
-H "Authorization: Bearer $OCRROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-flash",
"file_url": "https://example.com/invoice.pdf",
"format": "json"
}'