Employer statement OCR & data capturing

Enhance the effectiveness of your organization with Optical Character Recognition and data extraction. Process employer statements automatically and securely with Klippa. 
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All of the possibilities for employer statements

Our machine learning technology can automate many business processes related to employer statements via our APIs and SDKs.
Employer statement scanning
Converting document types and improving the quality of images
Converting data from employer statements to searchable text and structured XML, CSV, XLSX or JSON
Employer statement data capturing
Classifying  employer statements and data
Employer statement management
Workflow optimization

Data extraction from employer statements

An image speaks more than a thousand words. Below is an example of the three steps our OCR engine takes to automatically extract data from employer statements.

Uploading employer statements to the API

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

The document can be sent cropped or uncropped (with some kind of background). If it is sent uncropped, the Klippa API will automatically crop the document.

Image to text using OCR

As soon as a picture or PDF of an employer statement has been received, each page is converted to a TXT file. In this step all the text from the document 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 employer statement is now searchable and important data fields like mentioned experience- or skill entries, or  addresses, and more have been extracted.

From here the employer statement can easily be processed into your database or stored as a searchable PDF. 

The image on the left is a simplified example of the JSON response.
Reduce costs
Use Klippa and spend less money on processing employer statements.
Improve speed
Automatically convert employer statements into digital searchable text. Find case files based on keywords, categories, names and more.
 Reduce errors
Prevent misreading and other human errors with high quality data extraction on employer statements.
Prevent fraud
Automatically recognize errors, duplicates, and fraud.
What employer statement details are extracted?
Below the default extracted data fields (checkmarks) and automated checks (locks) are listed. These can be tailormade to your needs. On request, additional fields can be extracted.
Document type
Image quality
Country of origin
Employer statement language
Employer name
Employee salary
Working hours
Contract starting date and term
Searchable text
Dates and validity
And many more options
Find duplicates via image hashing
Identify fraudulent documents via Photoshop detection
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 pick a date and time that suits you best.
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We are available for calls in English, Spanish, French, German and Dutch during office hours (CET time zone). You can reach us at +44 330 828 0642.

Frequently Asked Questions

What does employer statement OCR cost?
The pricing structure for Klippa employer statement capturing depends on the amount of fields, the document volume and the page count. Both pay per use and monthly licenses are available. Get in contact with our solution architects to get an exact quote.
What types of employer statement can be processed automatically?
There are many types of employer statements. Most statements involve employee mortgage applications for lenders. Other examples are employer statements for insurance claims, disability claims, but also general directive statements from employer to employee. All of these can be made searchable and processed into structured data like JSON, XML, CSV or XLSX by Klippa.

Did you know that apart from employer statements, Klippa OCR can scan other types of HR documents, such as motivational letters, proof of employment, and resumes? Contact us for more information.
What are common use cases?
Data extraction on employer statements can be done for various reasons. The most common case is the employer statement involving mortgage application. All statement data can be digitized and made searchable, which allows you to quickly determine certain data fields in the application. This makes it easier, more reliable and quickly detects cases of fraud.
What languages does Klippa support?
We support all languages in the Latin, Greek and Hebrew alphabet. Other languages can be supported on request by training our machine learning models.
Is Klippa employer statement capturing GDPR compliant?
All the services that Klippa offers are fully GDPR compliant. Not only do we have ISO certified servers within the European Union for processing, we can also set up servers in other countries to conform to local legislation. A data processor agreement is in place. We do not store any applicant data after processing.
Please feel free to ask questions.
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