invoice OCR

Barcode OCR

Enhance the effectiveness of your organization with Optical Character Recognition (OCR) and data extraction. Process barcodes safely and quickly with Klippa. Powered by machine learning.

Trusted by 1000+ brands worldwide

Start with an online demo or contact us.

What we can do with barcodes

Our machine learning technology can automate many business processes requiring barcodes via our APIs and SDKs.
Barcode scanning and recognition
Format conversion and scan quality improvement
Barcode extraction to text, CSV, XSLX or JSON
Data extraction on all types of barcodes
Classifying products with barcodes
(Cross) validating barcode data

Barcode field extraction

An image speaks more than a thousand words. Below is an example of the three steps our OCR engine takes to automatically extract barcodes from documents or products.

Uploading file to the API

The first step is providing a picture or a PDF file containing a barcode to our API. Usually this is done from a mobile app, email, FTP or web application.

Image to text using OCR

As soon as a picture or PDF has been received, each page is converted to a TXT file. In this step, all the text from the document and the information from the barcode is extracted, but it is not yet structured.

Getting JSON output from the API

The Klippa Parser takes the TXT gained from the OCR in step 2 and converts it into structured JSON using machine learning. The JSON is then returned as output from the API. The barcode is now extracted.

From here the field can easily be processed into your database. Whether you are processing barcodes for wholesale ordering, accounting, insurances or other purposes, Klippa is here to help.

The image on the left is a simplified example of the JSON response.
Reduce cost
Spend less on extracting barcodes by using Klippa.
Improve speed
Process barcodes automatically within seconds.
Reduce errors
Prevent manual data entry errors with high quality data extraction of barcodes.
Prevent fraud
Automatically recognize errors, duplicates and fraud.
Which objects can you scan for barcodes?
Below is a list of objects for which you can use barcode extraction. This is not an exhaustive list, but depends on what the client requires.
Insurance documents
Warranty certificates
Utility bills
Parcels and packages
Invoices and receipts
Pictures of products with a barcode
And many more documents
Identify fraudulent documents via crosschecks
Let's talk over the phone!
We love to explain more about Klippa via a short phone call. If you want us to call you back, just choose a date and time that suits you best. If you leave the date and time empty we will call you within 30 minutes!
We are available for calls in English, Spanish, French, German and Dutch during office hours (CEST timezone). You can reach us at +31 50 2111631.

Frequently Asked Questions

What does barcode OCR cost?
The pricing structure for Klippa barcode capturing depends on the amount of documents. Both pay per use and monthly licenses are available. Get in contact with our product specialists to get an exact quote.
What barcodes are supported?
Klippa supports both 1-Dimensional (1D) and 2-Dimensional (2D) barcodes. In general, we support all barcodes, including:

– Aztec
– CODABAR
– Code 128
– Code 39
– Code 93
– Data Matrix 
– European Article Numbers (EAN-13 & EAN-8)
– ITF (Interleaved Two of Five)
– MaxiCode
– PDF417
– Quick Response (QR) Code
– Universal Product Code (UPC-A & UPC-E) 
– Japanese Article Numbers (JANs)

In case you wonder if we support a certain barcode or have any other question, feel free to contact us.
What kind of clients are using Klippa?
Klippa’s engine extracts as much data as possible from barcodes via OCR and machine learning. We support many different types of clients, because our engine is so versatile. 

It is most commonly used by clients in the wholesale, retail, logistics, healthcare, automotive and insurance industry.
What languages does Klippa support?
All European languages are supported. Our engine performs best on documents in English, Dutch, Norwegian, Danish, Swedish, Finnish, Italian, Portuguese, Spanish, German, Hebrew and French. Other languages can be supported on request, we’d just need to train our machine learning models.
Is Klippa barcode capturing GDPR-compliant?
All the services that Klippa offers are fully GDPR-compliant. By default, we use ISO-certified servers within the European Union for processing. If you are not located within the EU, we can also set up servers in a region of choice. 

Next to that, a data processor agreement is in place. We do not store any of your or your customers’ data after processing.
Can Klippa convert documents to CSV, XLSX, XML or JSON?
Yes we can. Klippa takes pictures of documents, or their PDF equivalents, and converts them to readable text using OCR. From there we use machine learning to turn the text into structured data. Most of the time we use JSON for this, but depending on your preferences we can also convert documents to CSV, XLSX or XML.

 Schedule a free online demonstration

Get a clear view of how Klippa can help make your barcode processing more efficient. A demo takes just 30 minutes.

Questions?
Please feel free to ask all your questions.
 Get in touch by email, phone or chat!
+31 50 2111631

What is a barcode?

A barcode is a machine-readable form of information in a visual format. It is often an image consisting of a series of numbers with parallel black and white lines that a scanner can read. When scanned, the barcode reveals information about a product.

Barcodes provide an efficient way for organizations to deal with purchase, inventory tracking, supply chain management, verification, and invoice processes.

There are two types of barcodes: 1-Dimensional (1D) barcodes such as EANs and 2-Dimensional (2D) barcodes such as Quick Response (QR) codes. The advantage of 2D barcodes lie in their ability to hold more data than 1D codes.  

With Klippa OCR, you can digitize documents with barcodes and store files digitally. By automating barcode processing, you can increase efficiency while reducing human errors.