Student ID cards OCR & data capturing
Enhance the effectiveness of your organisation with Optical Character Recognition and data extraction. Process Student ID cards automatically and securely with Klippa. Powered by machine learning.
Student ID card data extraction
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 Student ID cards.
Uploading Student ID cards to the API
The first step is always to provide a picture or a PDF file of a Student ID cards to our API. Usually this is done from a mobile app or a web application. The document can be send cropped or uncropped (with some kind of background). If it is send uncropped, the Klippa API will automatically crop the document. The Klippa SDK can also be used to handle the document capturing.
Image to text using OCR
As soon as the picture or PDF has been received it is converted to a TXT file. In this step all the text from the document is extracted, but it is still not 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. The JSON is then returned as output from the API. From here the Student ID cards can easily be processed into your database. Optionally additional data like the Student ID card picture or signature can also be extracted and provided via a URL.
Spend less on processing Student ID cards.
Process Student ID cards automatically within seconds. Simplify your KYC and onboarding.
Prevent manual data entry errors with high quality data extraction on Student ID cards.
Automatically recognise errors, duplicates and fraud.
What Student ID card fields are extracted?
Below the default extracted data fields (checkmarks) and automated checks (locks) are listed. These can be customised for each customer. On request additional fields can also be extracted.
Schedule a free online demonstration
Get a clear view of how Klippa can help make your document Student ID card processing more efficient. A demo takes just 30 minutes.
Frequently Asked Questions
What does it cost?Can Klippa process all types of Student ID cards with OCR?Can Klippa extract the Student ID card pictures?What Student ID cards are supported?How does Klippa check the authenticity?Is your Student ID card processing GDPR compliant?Can Klippa convert Student ID cards to CSV, XLSX, XML or JSON?
What does it cost?
The pricing structure for Student ID card recognition depends on the exact use case. Both pay per use and monthly licenses are available. Get in contact with our solution architects to get an exact quote.
Can Klippa process all types of Student ID cards with OCR?
One Student ID card can look very different from another Student ID card. There are many formats and templates in the world. In general, we support all these types and forms.
In case you wonder if we support a certain Student ID card or have any other question, feel free to contact us.
Can Klippa extract the Student ID card pictures?
Klippa always wants to be best in class in everything. Therefore we are also able to extract the pictures and signatures from Student ID cards, next to all the normal data fields. Extracting the pictures and signatures is optional and can be used for identity validation (KYC) use cases.
What Student ID cards are supported?
We are on a path to support all Student ID cards worldwide. Currently we support European, American, Russian and many Asian Student ID cards. If you have a specific type of Student ID cards you need OCR for, just reach out to us.
How does Klippa check the authenticity?
Next to normal data extraction on Student ID cards using OCR, Klippa offers an API and SDK for identity validation. This solution is called Klippa Identity Validation 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 Student ID cards and numerous other points. It also allows the comparison of two independent selfie pictures with the picture on the Student ID card, returning a matching score to validate if they are the same person.
Is your Student ID card processing 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.
In case you still have doubts, Klippa provides an option to mask sensitive data. You can read more about that on our data masking blog.
Can Klippa convert Student ID cards to CSV, XLSX, XML or JSON?
Yes we can. Klippa takes pictures of Student ID cards, 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 Student ID cards to CSV, XLSX or XML.
Please feel free to ask all your questions.
Get in touch by mail, phone or chat!
+31 50 2111631
Automated processing of Student ID cards
Eliminating manual entry is our vision. With Klippa manual processing of identity documents is coming to an end. No client or employee will have to typer over data anymore. With our OCR API it is possible to automate the identity document processing. The benefits you can harvest are reduced time consumption on processing, minimization of cost. Process bigger volumes even faster, with a tool than can easily scale-up and avoid any fraude. Klippa made it possible for you. Wether its processing documents like Student ID cards, passports, ID cards or driving licenses, we can definitely takeover.
What are the use cases?
We can automate any process with large amounts of Student ID cards. If time and quality is a factor, then we are definitely a good fit. For us automatic processing, classification and data extraction are common requests by our clients. Our solutions can be found in sectors such as e-commerce, banking, insurance, government and education.