Automate administrative process and foolproof KYC & AML compliance with AI-powered identity card OCR. 
Reduce your turnaround time by up to 70%
Ensure accuracy with automated data extraction

Trusted by 1000+ brands worldwide

Start with an online demo or contact us.

Unlock ID Card OCR Functionalities

Leverage Klippa’s OCR for ID card processing. Save time, reduce operational costs and easily scale-up with ID card recognition.

Streamline Administrative Processes 
with ID OCR Technology

Enhance image quality with our scanning ID card SDK
Eliminate manual data entry by instantly transforming relevant information into searchable text
Seamlessly convert text to JSON and other formats
Experience effortless and error-free ID card data extraction 

Go Beyond ID Card Recognition

Comply with KYC & AML regulations with accurate ID card verification
Detect fraudulent attempts with AI algorithms
Protect personal information with instant data anonymization
OCR software

OCR for ID Cards in 3 Steps

Stay at the forefront of document processing by effortlessly integrating our ID card OCR via API or SDK. Discover how Klippa’s OCR ID card data extraction works in three simple steps. 

Scan ID cards with a scanner SDK or upload them through our ID card OCR API

First, a picture or PDF of the identity card is provided to the identity card OCR API. This document can be provided by sending it from the mobile- or the web application.

The image can be sent both cropped (without background) or cropped (with background). If you send the image uncropped, the API will automatically crop this document.

The Klippa SDK can be used to optimize the quality of the image. The ID card scanner SDK reads the document and optimizes brightness and enhances the grayscale for the best ID document data capture. 

Convert the image of the ID card into text

As soon as the image is received by our ID card OCR software, it is converted into a TXT file. The data from the ID card is extracted from the image, but not yet structured.

Receive JSON output from the API

In the final step, the Klippa Parser takes the TXT file and converts it into structured (machine readable) JSON. This JSON file is then returned to the API as output. After these steps, the ID card can easily be processed in the database of the company. 

Compatible With Your Favorite Tools

See all of our 50+ integrations.

Which Data Fields Can Be Identified with Klippa’s ID Card OCR?

Below are the examples of data fields that can be extracted. The number of fields is fully customizable. Need additional OCR ID card fields? Just ask!
ID Photo
Document Number
Full Name
Date of Birth
Place of Birth
Date of Issue
Location of Issue
Valid Through
Machine Readable Zone (MRZ)
…and many more fields!
Utilize image hashing to find duplicates
Identify fraudulent documents with cross-checks
Validate identity by comparing selfie with the passport picture

Enjoy the Benefits of Identity Card OCR

Reduce Cost
Automate document processing with Klippa’s OCR ID card scanner to reduce cost.
Improve Speed
Extract data from ID cards to simplify and speed-up KYC and onboarding.
Prevent Fraud
Detect fraud attempts, duplicates, and errors in an instant with Klippa’s AI algorithms.
Minimize Errors
Prevent errors caused by manual data entry with precise identity card OCR.

Implement Document Conversion in Your Workflow

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.”
Leon Backbier
IT Manager, Banijay Benelux
Let’s begin!
Discover the power of Klippa’s OCR identity card solution, as our experts help you to revolutionize ID card scanning and processing.

Frequently Asked Questions

How much does ID card OCR cost?

The pricing structure for Klippa’s ID card OCR depends on the amount of fields and the document volume to be processed.

Get in touch with our product specialists for a quote.

Can Klippa’s ID OCR process MRZ from all ID cards?

MRZ (Machine Readable Zone) is available in three different formats, called Type 1, Type 2 and Type 3. 

In contrast to passports, not all ID cards have an MRZ. If they do have an MRZ, most of the time MRZ type 1 is used. This consists of three lines, each 30 characters long. 

Klippa supports MRZ reading for all MRZ types, so the short answer is yes; ID card OCR for MRZ is possible!

Can Klippa’s ID OCR extract ID pictures and signatures?

We are able to extract the pictures and signatures from ID cards, next to all the normal data fields.

Extracting the pictures and signatures is optional when it comes to ID card recognition. It’s commonly needed for KYC (Know Your Customer) use cases.

What use cases are supported by Klippa’s ID card OCR? 

We can automate any process that requires validating large amounts of ID cards and other identity documents like passportsdriving licenses or residence permits

If time and quality are important factors for you, then we are a good fit. We help our clients with automatic processing, classification and data extraction.

In case of ID card OCR, it can be used for digital client onboarding, streamlining administrative processes or for KYC (Know Your Customer) compliance in many different industries.

Which ID cards does Klippa’s ID OCR support?

We are on a path to support all ID cards worldwide. Currently, we provide support for all Latin languages. Our software is already being used by clients all over the world to process many different types of documents.

You can find information for your country on our Global Identity Verification page. If you have a specific case, don’t hesitate to contact us.

How does Klippa’s ID OCR check the authenticity of ID cards?

Next to normal data extraction with ID card OCR, Klippa offers an API and an ID card scanning SDK for identity validation. This solution is called Klippa Identity Verification and is used for KYC and remote customer onboarding.

It goes a step further than just the OCR API and actually checks the picture quality, validity of the ID card and numerous other points. It also allows the comparison of two independent selfie pictures with the picture on the passport, returning a matching score to validate if they are the same person.

We assist in conducting KYC checks for various sectors such as KYC for banking, gambling, marketplaces, traveling, car rentals, healthcare and more. Feel free to contact us if you want to know how we can help with your unique case.

Is Klippa ID card recognition 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 ID card 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.