Packing List OCR Data Extractor.

Accurately extract over 20+ data fields from multiple packing lists all at once, including line items, in 56 languages.




monthly users


documents processed

10+ years

of document IP

Affinda is trusted by some of the world's leading organisations

See our Packing List parser in action.

Our easy-to-use parser's interface is designed for everyone, with no training required for use.

Want to try the free tool?

Open this web page on a desktop device to upload your documents and see how it works for yourself.

What is a Packing List OCR data extractor?

A packing lists OCR data extractor is a specialised software tool that uses OCR technology to accurately capture and analyse data from packing lists. It identifies and reads text and numbers from the lists, converting them into digital format for efficient data management. Industries such as manufacturing, shipping, and e-commerce find immense value in this tool as it automates the process of information extraction from packing lists, eliminating the need for laborious manual data entry, and boosting operational efficiency.

The key benefits of a packing list OCR data extractor include faster data capture and processing, fewer human errors, full digitalisation of manual data extraction, and seamless integration into a variety of workflows. It is a powerful tool that enhances data quality, boosts productivity, saves time, and reduces costs for businesses in many different industries.

Automatically process your packing lists in four simple steps.

Step 1

Upload your documents to Affinda directly to our app, or by integrating with email or document management platforms

Step 2
Our OCR Packing List extractor will automatically scan, extract, label and categorise the data on the packing lists in seconds
Step 3
Export the data in a structured and usable format. Integrate our Packing List parser with any downstream system or platform to use your data where you need it most
Step 4

Need an AI data extractor customised to your specific business needs? Our expert team can build a model tailored to your business workflows that integrates seamlessly with existing processes.

Extract data from dozens of fields.

Our AI Packing List OCR solution automatically extracts data from over 20+ fields.

Exporter details

  • Company Name
  • Address
  • Phone Number

Consignee details

  • Company Name
  • Address
  • Phone Number

Packing list details

  • Method of Dispatch
  • Export Invoice Number
  • Export Invoice Date
  • Country of Origin
  • Country of Final Destination
  • Total Weight

Line-item details

  • Product Code
  • Description of Goods
  • Unit Quantity
  • Net Weight (kg)
  • Kind & Number of Packages
  • Gross Weight (kg)
  • Measurements (m2)

Don’t see the fields you need above?

Affinda makes it easy to add custom fields according to your bespoke requirements.
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Innovative features that set us apart from the rest.

Superior accuracy

Over 20+ fields extracted

Supports multiple file formats: PDF, JPG, PNG

Highly flexible and customisable

Supports over 56 languages

Upload and extract in bulk

Self-learning models improve over time

Seamless upstream and downstream integration

Streamline Packing List Management with Advanced Document Automation | AI OCR Data Extractor | Affinda

Businesses around the world use our Packing List OCR Extractor in different industries and use cases.

Manufacturing and retail companies use our Packing List OCR data extractor to ensure accurate inventory management and to automate product shipping processes.

Shipping and logistics companies leverage our Packing List OCR technology to efficiently extract data and keep accurate records, improving workflow and reducing time taken to process goods.

Warehouse management teams use our Packing List OCR data extractor to ensure correct goods are shipped and received, enhancing inventory accuracy while reducing the chances of issues during transport.

Need to automate your Packing List workflows? Contact us.

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We can build a solution for any document
workflow within weeks.

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