OCR for Payslips
Extract and parse data from payslips with AI-powered OCR software. Transform financial processes with automated processing.
Trusted by 1000+ brands worldwide
Ensure flawless data extraction
Accurately capture predefined labels from payslips with Artificial Intelligence.
Accelerated workflows with lightning-fast OCR
Reduce turnaround time with real-time feedback. Send and receive data instantly.
Simpler operations, less manual data entry
Automate your financial workflows, prevent errors, and enjoy time savings.
How it works
Process Payslips in Just a Few Steps
Instantly capture and convert your payslips into any structured format for easier integration. Always get the best results with automatic edge detection for more accurate processing.
Send Your Payslips
Scan your payslips with our mobile scanning SDK or upload them to our platform in any of these formats:
.jpg, .jpeg, .png, .pdf, .doc, .docx, .xlsx, .heic, .webp, and more.Extract Data
Choose which data fields you want to extract, such as the bank account, employee name, or gross salary to name a few.
Receive Formatted Output
Thanks to machine learning, you can have your data in a structured format like JSON, XML, or CSV.
Forward Your Data
After transforming your data into a structured format, you can then forward it to your software of choice for further processing.
What Data Fields You Can Capture with Klippa’s Payslip OCR
Here are a few examples of data fields you can extract. All fields can be fully customizable to your needs. Need to extract additional fields? Let us know!
Klippa DocHorizon
Payslip OCR Features
Our machine learning technology can automate many payslip related business processes via our IDP platform, APIs and SDKs.
Payslip scanning and parsing
Format conversion to structured data
Image to text and JSON with OCR
Data extraction from payslips
Document classification
(Cross) validating payslip data
Financial workflow automation
Fraud detection
How to Implement
Automate Payslip Processing With Software
Klippa provides easy integration via our platform, API, or SDK, and broad compatibility with major platforms and tools. Our well-documented solutions guarantee a hassle-free and smooth experience.
Low-Code Platform
Easily create & automate your entire document workflow on one IDP platform.
API Integration
Connect our document conversion module to your own application(s) via API.
Mobile Scanning SDK
Employ our SDKs to empower your mobile applications with smart scanning.
We Take Your Data Privacy & Security Seriously
“It is extremely pleasant to work together with a party that is as ambitious as we are. The willingness and speed with which Klippa implemented specific modifications for us is impressive.”
Let’s begin!
Discover the power of Klippa’s Payslip OCR, as our experts help you revolutionize your document processing.
Frequently Asked Questions
How much does W-9 form processing cost?How does payslip scanning work?Is it possible to extract additional payslip data fields?What languages does Klippa support?What are common use cases for payslip text extraction?Is Klippa’s payslip processing GDPR-compliant?How can I integrate Klippa’s payslip OCR?
How much does W-9 form processing cost?
The pricing structure for Klippa depends on the amount of fields and the scanning volume. Both pay per use and monthly licenses are available. Get in contact with our solution architects to get an exact quote.
How does payslip scanning work?
You can use our OCR SDK scanner for direct scanning or upload photos and PDFs to our OCR API, starting the process with a simple action and then letting technology take over.Klippa’s software then analyzes the light and dark patterns that make up the letters and numbers to convert the scanned image into text. After that, data fields are identified and extracted from the payslip.
Is it possible to extract additional payslip data fields?
Klippa can extract any field that you see on a document. Besides the information that you can see, Klippa can classify and validate information that you can not even see on the document. So whatever your use case for payslip processing is, just reach out to us.
Did you know that apart from payslips, Klippa’s OCR can scan other types of financial documents, such as credit card statements, bank statements, and SEPA authorizations? Contact us for more information.
What languages does Klippa support?
Currently, Klippa supports all Latin languages. Our engine performs best on forms in English, Dutch, Norwegian, Danish, Swedish, Finnish, Italian, Portuguese, Spanish, German, and French.
However, other languages can be supported on request. We’re open to training our machine learning models. If you have a specific case, don’t hesitate to contact us.
What are common use cases for payslip text extraction?
Common use cases are payment automation, administrative process automation, loan application automation and accounts payable automation. In many cases RPA is also involved in the process.
Is Klippa’s payslip processing GDPR-compliant?
By default, Klippa does not store any customer data. Data is always processed under a data processing agreement (DPA) and all services from Klippa are compliant with GDPR. All data transfer is done via secure SSL connections.
Our servers are ISO-certified and by default located in Amsterdam, the Netherlands. Getting a custom server on a location of choice is possible in any location worldwide.
On a regular base, our security is tested via third-party penetration testing to ensure state-of-the-art security at all times.
How can I integrate Klippa’s Payslip OCR?
Our API can be implemented into any software, web or mobile solution that you may be using. The main source of communication is JSON, so it is independent of specific programming languages.
Our mobile SDKs have been built using native IOS (Swift) and native Android (Kotlin). This means they can be implemented into native apps, but they can also be wrapped for cross-platform languages such as Xamarin, ReactNative, Nativescript, Flutter, PhoneGap, Cordova, Ionic and more.
Klippa’s solution is made in a developer-friendly way. It is well-documented, so that developers can have all the information they need to successfully implement our API.