Drivers Licenses

Nanonets is an AI-based workflow automation software centered around our revolutionary OCR engine. We have many pre-trained models to extract data from standard customer documents, Drivers Licenses being one of them.

We can help extract structured information from Drivers Licenses, including Name, Date of Birth, Sex, License Number, etc.

Note: Our pre-trained OCR model is optimized for US Drivers Licenses. For extracting data from Drivers Licenses of any other country, we recommend using our Zero-training OCR model, which can be set up within minutes and requires no training at all.

The fields we support for US Drivers Licenses out-of-the-box are as follows:

Field	Description
Issue_Date	Extracts the date the passport was issued on.
Height	Extracts the height of the individual.
Eye_Color	Extracts the eye color of the individual.
Name	Extracts the first name of the individual.
State	Extracts the resident state of the individual.
DOB	Extracts the date of birth of the individual.
Weight	Extracts the weight of the individual.
Sex	Extracts the sex of the individual, (M/F/X).
DD_No	Extracts the security code that identifies where and when the license was issued. It uniquely identifies each card that was issued to a given individual.
Expiry_Date	Extracts the security code that identifies where and when the license was issued. It uniquely identifies each card that was issued to a given individual.
Class	Denotes the class of vehicles the individual is authorized to drive. Class C is the most common. Other classes include Class A, B, D, H, N, P, S, T, X.
Address	Extracts the address of the individual.
License_No	Extracts the License number of the individual which acts as a unique identifier for the Drivers License.