Delivery Notes API

Delivery Note OCR & Data Extraction

A delivery note, also called a dispatch note, packing slip, or proof of delivery (POD), accompanies goods from the warehouse to the recipient. It records what was shipped, what was received, and who signed for it. In logistics operations, these documents are the single source of truth for goods receipt, invoice matching, and carrier performance tracking. The problem is that most delivery notes still arrive as paper, scanned PDFs, or mobile phone photos: crumpled, creased, and different from every supplier. ByteIt's AI engine reads delivery notes and POD documents as they arrive, extracts the fields your systems need, from dates and quantities to signatures and exception notes, and returns structured data ready for your ERP, WMS, or accounting workflow.

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Extractable fields

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Use cases

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FAQs answered

Benefits

Cut goods-receipt processing from hours to minutes by eliminating manual rekeying of delivery data

Resolve delivery disputes in seconds with digitised, searchable proof-of-delivery records

Improve carrier performance visibility with real-time confirmation of delivery dates and quantities

Reduce invoice reconciliation delays by matching delivery note data against purchase orders automatically

How it works

  1. Step 1

    Upload

    Send the document to the API as a file or a URL no special formatting required.

  2. Step 2

    The engine reads the document

    The engine analyzes the page layout and identifies the content that matters. The engine reads each delivery note or POD and identifies header fields (delivery date, docket number, buyer and seller details, PO reference), line-item data (SKU, description, ordered and delivered quantities), and delivery confirmation signals (signature status, back-ordered goods, comments and exceptions), all without templates or layout training.

  3. Step 3

    Structured JSON is returned

    Every extracted element comes back as structured JSON, positioned and typed, ready to feed into downstream systems.

  4. Step 4

    Confidence-based review

    Each field carries a confidence score, so low-confidence results can be routed for human review instead of trusted blindly.

Extractable fields

DateDocket NumberName and Address of the BuyerName, Address and Contact Details of the SellerBuyer's Purchase Order Number (PO)Date of OrderDate of DeliveryDescription and Code of GoodsQuantity Ordered and DeliveredLine Item Details (SKU, description, quantities, unit of measure)Back-Ordered GoodsComments or Special Mentions+ many more

Features

Reads delivery notes, dispatch notes, packing slips, and proof-of-delivery forms from PDFs, scans, and photographs

Extracts line-item tables including SKU, description, quantity ordered, quantity delivered, and unit of measure

Captures signature presence, delivery exceptions, and handwritten annotations alongside printed fields

Handles crumpled, stained, low-resolution, or partially illegible documents using vision-based AI with confidence scoring

Outputs structured JSON, CSV, or Excel data via REST API for direct ingestion into WMS, ERP, or workflow automation tools

Use cases

Goods Receipt and Inventory Update

When a delivery arrives at the warehouse, the delivery note or POD is scanned and processed immediately. ByteIt extracts item codes, quantities delivered, and delivery date, then pushes the data into the warehouse management system to update stock levels in real time. No waiting for a clerk to type through a stack of paper.

Invoice-to-PO-Delivery Three-Way Matching

Accounts payable teams reconcile supplier invoices against purchase orders and delivery notes to approve payment. ByteIt extracts quantities delivered and order references from the delivery note so the matching logic can compare what was ordered, what was shipped, and what was received, flagging discrepancies for review before payment is released.

Proof of Delivery Verification and Dispute Resolution

Customer service teams field disputes about short shipments, damaged goods, or late deliveries. Digitised POD records let them pull up the signed delivery note in seconds, confirm the recipient name, delivery timestamp, and any exception comments noted at the door, replacing days of paper chasing with a single search.

Carrier Performance and On-Time Delivery Analytics

Logistics analysts track carrier reliability by comparing planned delivery dates against actual signed delivery timestamps extracted from PODs. With delivery note data flowing into a dashboard in near-real time, teams can identify underperforming carriers, renegotiate terms, and improve last-mile visibility without manual data collection.

ERP and Workflow Automation Integration

Extracted delivery note data can be routed into ERPs, accounting software, or operational dashboards using workflow automation tools such as n8n, Zapier, or Make, removing the need for manual CSV exports and file transfers between systems.

LIVE DEMO

Try it yourself

Upload a sample delivery note or POD in PDF, JPG, or PNG format and see the extracted fields returned instantly, no setup or configuration required.

Sample document: Delivery_note

Select a document and press Parse

Want to run it on your own documents?

Ready to dive in? Request a key to get started.

Business advantages

Frequently asked questions

What file formats does ByteIt support for delivery notes?

ByteIt accepts PDF, Word (DOCX), Excel (XLSX), and image formats including JPG and PNG. Delivery notes arrive in all of these, paper scans, mobile photos, emailed PDFs, and the engine handles them without format conversion.

Can ByteIt read low-quality scans or photos of delivery notes?

Yes. The AI vision models are designed for real-world document conditions: creased paper, low-resolution photographs, partial smudging, and faded photocopies. Confidence scoring flags uncertain fields so your team can verify only the edge cases instead of reviewing every document.

How do I integrate delivery note extraction into my systems?

ByteIt provides a REST API that returns structured JSON, CSV, or Excel data. You can also connect extracted data into your ERP or WMS using workflow automation tools such as n8n, Zapier, or Make. A Python SDK is available for direct integration.

Does ByteIt extract line-item tables from delivery notes?

Yes. The engine captures line-item data including SKU codes, item descriptions, quantity ordered, quantity delivered, unit of measure, and back-ordered goods, preserving the table structure so downstream systems can consume it without manual reconstruction.

What is the pricing for the delivery note extraction API?

ByteIt offers a free Build plan with 1,000 credits per month, a Scale plan at 260 € per month for 25,000 credits with parallel processing and team API keys, and custom Enterprise plans with flexible volumes, VPC or on-premise deployment, and dedicated support.

Does it handle multi-page delivery notes?

Yes. ByteIt processes multi-page documents and consolidates extracted fields across pages. This is useful when a delivery note runs to multiple sheets or when a POD form includes attached exception reports.

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