Consignment Note OCR Data Extractor.

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

500+

customers

30,000+

monthly users

50M+

documents processed

10+ years

of document IP

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

See our Consignment Note 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 Consignment Note OCR data extractor?

A Consignment Note OCR data extractor is a sophisticated tool that leverages optical character recognition (OCR) technology to extract essential data from consignment or shipping notes. This technology works by scanning or photographing a consignment note, identifying text and numbers on it, and transforming this information into a digital and machine-readable format. This process, powered by the AI capabilities of Affinda's OCR technology, automates manual data entry, thus reducing errors and ensuring increased efficiency. Once processed, the data is then structured for optimal usage by freight and transportation companies, e-commerce businesses, or any industry dealing with goods shipment.

There are several notable advantages associated with using a Consignment Note OCR data extractor. Firstly, instant data capture reduces processing time and greatly enhances productivity. Secondly, mitigating the risk of manual errors through automation increases overall operational accuracy. Thirdly, the transformation from manual document handling to a complete digital procedure results in significant resource and time savings. Lastly, thanks to its design, the Consignment Note OCR seamlessly integrates into various workflows, significantly improving overall data quality and proving particularly effective in cost reduction.

Automatically process your consignment notes 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 Consignment Note extractor will automatically scan, extract, label and categorise the data on the consignment notes in seconds

Step 3

Export the data in a structured and usable format. Integrate our Consignment Note 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 Consignment Note OCR solution automatically extracts data from over 20+ fields.

Consignment Note details

Description
Quantity
Consignment Note Code
Concentration
Hazard Code
EWC Code

‍

Don’t see the fields you need above?

Affinda makes it easy to add custom fields according to your bespoke requirements.

Get in TOUCH

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

Businesses around the world use our Consignment Note OCR Extractor in different industries and use cases.

Courier organisations rely on our Consignment Note OCR data extractor to fast-track package delivery processing, increasing efficiency and accuracy in parcel tracking.

International trade businessesuse our Consignment Note OCR Technology to expedite the tracking and documentation process of goods during transport, reducing errors and increasing operational efficiency.

Warehouse management teams use our Consignment Note AI-powered OCR data extractor to accurately record consignment note particulars, thereby improving storage and retrieval methods.

Need to automate your Consignment Note workflows? Contact us.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

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

All Document Types

Ready to get started?

book a Demo