Verification of identity with artificial intelligence (OCR)

Verification of identity with artificial intelligence

Eliminate mistakes and typos and simplify and accelerate the process of identity verification of your employees and customers.

No more need to copy data from ID cards or other documents into your banking systems. All you have to do is scan the ID card or take a photo of it with your mobile phone and the data from the document will be accurately loaded into your corporate systems with a single click.

At branches as well as locally

From now on your personal bankers or relationship managers can merely scan the client’s ID card and all data will be automatically loaded into corporate forms, without any errors – leaving your staff free to actually focus on the purpose of the client’s visit.

The best part? Your client doesn’t even have to visit the branch. Do you need to work fully digitally because you provide consumer loans online? Or have you made an appointment with a client outside the bank? We can even provide remote identity verification. All the client needs to do is use their mobile phone to take a photo of themselves together with their identity card and send the photograph to the bank or financial institution. Our artificial intelligence-based solution evaluates whether the person holding the card in their hand is its actual owner.

90%

90% of all input errors can be prevented by automated data conversion from scanned or photographed identity documents (OCR).

None

Example of identity verification using AI.

Extracting text from image data

We are highly skilled at working with ID cards in the Czech Republic and identification cards valid in the EU. We use artificial intelligence for this purpose, including self-learning mechanisms. Companies such as Zonky, Kamali, and Tatra Billing rely on us.

Do you also want to do away with typos in Birth ID Numbers, names, and birthdates? Contact us today.

Get more info today, start implementing tomorrow.

Thank you

We will contact you as soon as possible.

Dagmar Bínová

Big Data Science Lead

Dagmar Bínová