Best Delivery Note OCR Software in 2026

August 6, 2026

We tested the leading tools on the market to create this list of the best delivery note OCR software in 2026. Read on to discover our top picks.

1. Lido

The best delivery note OCR software in 2026 is Lido. It extracts line items, quantities, and shipping details from any delivery note format with the highest accuracy.

★ Editor's Choice
50 free pages | www.lido.app
9.4/10
AI-powered delivery note extraction. Lido reads item descriptions, quantities, weights, addresses, and reference numbers from any delivery note format, outputting structured data to spreadsheets.
Score Breakdown
Accuracy
9.8
Ease of Use
9.6
Pricing
9.2
Integrations
9.0
Versatility
9.5
Support
9.2
Pros
  • Extracts data from any delivery note format without templates
  • Handles handwritten, printed, and digital notes equally
  • Processes scanned and photographed field documents
  • SOC 2 Type II compliant
Cons
  • No built-in logistics or warehouse management
Verdict

The best delivery note extraction tool. Lido handles the format diversity across carriers and suppliers.

Best for: Logistics, warehouse, and receiving teams processing delivery notes from many sources
Not for: Organizations needing a full WMS or TMS with built-in document processing

2. PackageX

Custom pricing | packagex.io
6.8/10
Logistics intelligence platform with OCR for shipping labels, delivery notes, and package tracking. PackageX handles mailroom and receiving automation.
Score Breakdown
Accuracy
7.5
Ease of Use
8.0
Pricing
5.0
Integrations
7.5
Versatility
6.0
Support
7.0
Pros
  • Purpose-built for logistics and receiving
  • Shipping label and package OCR
  • Mailroom automation features
Cons
  • Custom pricing
  • Focused on mailroom and receiving
  • Limited to logistics document types
Verdict

A solid logistics-focused option for mailroom and receiving automation.

Best for: Organizations needing mailroom automation with delivery tracking
Not for: Teams needing general delivery note extraction for reconciliation

3. ABBYY Vantage

Custom pricing | abbyy.com
7.2/10
Enterprise document intelligence for processing logistics documents. ABBYY handles degraded delivery notes and complex multi-item documents.
Score Breakdown
Accuracy
9.0
Ease of Use
5.5
Pricing
4.5
Integrations
7.5
Versatility
9.0
Support
8.0
Pros
  • Industry-leading OCR on degraded delivery documents
  • Handles complex multi-item delivery notes
  • Pre-trained skills for logistics documents
Cons
  • Enterprise pricing
  • Complex implementation
  • No logistics-specific workflow
Verdict

The strongest OCR for degraded delivery notes. Requires significant investment.

Best for: Large logistics operations processing degraded or complex delivery documents
Not for: Smaller teams with straightforward delivery note needs

4. Google Document AI

Pay-as-you-go | cloud.google.com
7.0/10
Google's document AI platform with custom processor training for delivery note extraction pipelines.
Score Breakdown
Accuracy
8.0
Ease of Use
4.5
Pricing
7.0
Integrations
7.5
Versatility
8.0
Support
7.0
Pros
  • Custom processor training for delivery note formats
  • Pay-as-you-go pricing
  • Strong structured extraction
Cons
  • Requires developer resources
  • No pre-built delivery note model
  • Complex GCP setup
Verdict

A capable API for engineering teams building custom delivery note extraction.

Best for: Development teams building custom logistics document pipelines
Not for: Non-technical teams needing a ready-to-use solution

5. Nanonets

From $0.30/page | nanonets.com
7.1/10
AI document extraction with pre-trained models for common document types. Nanonets handles delivery notes with configurable extraction templates.
Score Breakdown
Accuracy
7.5
Ease of Use
7.5
Pricing
6.5
Integrations
7.0
Versatility
7.0
Support
7.0
Pros
  • Pre-trained models for common logistics documents
  • No-code setup for simple formats
  • API and Zapier integration
Cons
  • Template-based extraction struggles with new formats
  • Per-page pricing adds up at volume
  • Less accurate than top competitors
Verdict

A decent option for teams with standardized delivery note formats.

Best for: Teams processing delivery notes in consistent, predictable formats
Not for: Teams processing diverse delivery note formats from many suppliers

6. Extend.ai

Custom pricing | extend.ai
6.6/10
AI document extraction startup focused on logistics and supply chain documents. Extend handles shipping documents with custom field extraction.
Score Breakdown
Accuracy
7.5
Ease of Use
7.0
Pricing
5.5
Integrations
6.5
Versatility
6.5
Support
6.5
Pros
  • Focused on logistics and supply chain documents
  • Custom field extraction configuration
  • Growing platform
Cons
  • Smaller startup with limited track record
  • Custom pricing
  • Narrower feature set than established platforms
Verdict

A newer logistics-focused extraction option. Less established than competitors.

Best for: Teams wanting a logistics-focused extraction tool and comfortable with a newer platform
Not for: Teams needing an established, proven extraction platform

Need to extract data from delivery notes at scale?

Join hundreds of teams growing faster by automating the busywork with Lido.

How to Choose Delivery Note OCR Software

Delivery note OCR ranges from general extraction tools to logistics-specific platforms. Choose based on your document diversity and technical resources.

Format diversity. Delivery notes come in every format from handwritten slips to structured digital documents. Lido handles all formats. Template-based tools need setup per format.

Integration needs. PackageX integrates with mailroom workflows. Google Document AI requires custom development. Lido outputs to spreadsheets for universal import.

Budget. Lido offers a free tier. Nanonets has per-page pricing. Google charges pay-as-you-go. Everything else is custom priced.

Now that you know the strengths of each tool, you can choose the one that fits your receiving workflow.

Frequently asked questions

What data can OCR extract from a delivery note?

Delivery note OCR can extract item descriptions, quantities delivered, delivery dates, carrier and driver information, recipient names and signatures, condition notes, reference numbers such as PO numbers and BOL numbers, and shipper and consignee addresses. The specific fields depend on the tool and the delivery note format, but most modern OCR platforms can capture both printed and handwritten text from standard delivery note layouts.

Can OCR read handwritten delivery notes?

Yes, but accuracy varies widely between tools. Lido and ABBYY Vantage have the strongest handwriting recognition capabilities among the tools reviewed here. Lido processes over 360,000 handwritten driver tickets per year for a single customer, which demonstrates production-grade handwriting accuracy. General-purpose OCR engines like Google Document AI can read handwriting but typically require custom training to achieve high accuracy on messy field documents.

How do I match delivery note data to purchase orders automatically?

Extract your delivery note data into a structured format like a spreadsheet, then match key fields (item codes, quantities, PO reference numbers) against your purchase order records. The most common approach is to use a shared reference number such as the PO number that appears on both documents. Flag any rows where the delivered quantity does not match the ordered quantity, where items appear on one document but not the other, or where item descriptions differ. Tools that output to spreadsheets make this matching step easier to automate than tools that output to proprietary dashboards.

What is the difference between a delivery note and a bill of lading?

A bill of lading is a legal contract between a shipper and carrier that describes what is being transported and serves as a receipt for the shipment. A delivery note is a confirmation document that describes what was actually received at the destination. Bills of lading travel with the shipment. Delivery notes are generated or signed at the point of delivery. In a complete receiving workflow, you might OCR both documents: the bill of lading when the shipment arrives and the delivery note once the goods are inspected and accepted.

How much does delivery note OCR software cost?

Pricing ranges from free tiers to enterprise contracts. Lido offers 50 free pages per month with paid plans that scale by volume. Nanonets starts at $499 per month for its professional tier. Google Document AI charges per page processed through its cloud API. ABBYY Vantage and PackageX typically require contacting sales for enterprise pricing. For most organizations that process under 1,000 delivery notes per month, a tool with a free tier or pay-per-page pricing will be more cost-effective than an enterprise platform with a flat annual license.

Ready to grow your business with document automation, not headcount?

Join hundreds of teams growing faster by automating the busywork with Lido.