The Python OCR SDK supports the Driver License API.

Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
Driver License sample

Quick-Start

from mindee import Client, PredictResponse, product

# Init a new client
mindee_client = Client(api_key="my-api-key")

# Load a file from disk
input_doc = mindee_client.source_from_path("/path/to/the/file.ext")

# Load a file from disk and parse it.
# The endpoint name must be specified since it cannot be determined from the class.
result: PredictResponse = mindee_client.parse(product.eu.DriverLicenseV1, input_doc)

# Print a summary of the API result
print(result.document)

# Print the document-level summary
# print(result.document.inference.prediction)

Output (RST):

########
Document
########
:Mindee ID: b19cc32e-b3e6-4ff9-bdc7-619199355d54
:Filename: default_sample.jpg

Inference
#########
:Product: mindee/eu_driver_license v1.0
:Rotation applied: Yes

Prediction
==========
:Country Code: FR
:Document ID: 13AA00002
:Driver License Category: AM A1 B1 B D BE DE
:Last Name: MARTIN
:First Name: PAUL
:Date Of Birth: 1981-07-14
:Place Of Birth: Utopiacity
:Expiry Date: 2018-12-31
:Issue Date: 2013-01-01
:Issue Authority: 99999UpiaCity
:MRZ: D1FRA13AA000026181231MARTIN<<9
:Address:

Page Predictions
================

Page 0
------
:Photo: Polygon with 4 points.
:Signature: Polygon with 4 points.
:Country Code: FR
:Document ID: 13AA00002
:Driver License Category: AM A1 B1 B D BE DE
:Last Name: MARTIN
:First Name: PAUL
:Date Of Birth: 1981-07-14
:Place Of Birth: Utopiacity
:Expiry Date: 2018-12-31
:Issue Date: 2013-01-01
:Issue Authority: 99999UpiaCity
:MRZ: D1FRA13AA000026181231MARTIN<<9
:Address:

Field Types

Standard Fields

These fields are generic and used in several products.

BasicField

Each prediction object contains a set of fields that inherit from the generic BaseField class.
A typical BaseField object will have the following attributes:

value (Union[float, str]): corresponds to the field value. Can be None if no value was extracted.
confidence (float): the confidence score of the field prediction.
bounding_box ([Point, Point, Point, Point]): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.
polygon (List[Point]): contains the relative vertices coordinates (Point) of a polygon containing the field in the image.
page_id (int): the ID of the page, is None when at document-level.
reconstructed (bool): indicates whether an object was reconstructed (not extracted as the API gave it).

Note: A Point simply refers to a List of two numbers ([float, float]).

Aside from the previous attributes, all basic fields have access to a custom __str__ method that can be used to print their value as a string.

DateField

Aside from the basic BaseField attributes, the date field DateField also implements the following:

date_object (Date): an accessible representation of the value as a python object. Can be None.

PositionField

The position field PositionField does not implement all the basic BaseField attributes, only bounding_box, polygon and page_id. On top of these, it has access to:

rectangle ([Point, Point, Point, Point]): a Polygon with four points that may be oriented (even beyond canvas).
quadrangle ([Point, Point, Point, Point]): a free polygon made up of four points.

StringField

The text field StringField only has one constraint: its value is an Optional[str].

Page-Level Fields

Some fields are constrained to the page level, and so will not be retrievable to through the document.

Attributes

The following fields are extracted for Driver License V1:

Address

address (StringField): EU driver license holders address

print(result.document.inference.prediction.address.value)

Driver License Category

category (StringField): EU driver license holders categories

print(result.document.inference.prediction.category.value)

Country Code

country_code (StringField): Country code extracted as a string.

print(result.document.inference.prediction.country_code.value)

Date Of Birth

date_of_birth (DateField): The date of birth of the document holder

print(result.document.inference.prediction.date_of_birth.value)

Document ID

document_id (StringField): ID number of the Document.

print(result.document.inference.prediction.document_id.value)

Expiry Date

expiry_date (DateField): Date the document expires

print(result.document.inference.prediction.expiry_date.value)

First Name

first_name (StringField): First name(s) of the driver license holder

print(result.document.inference.prediction.first_name.value)

Issue Authority

issue_authority (StringField): Authority that issued the document

print(result.document.inference.prediction.issue_authority.value)

Issue Date

issue_date (DateField): Date the document was issued

print(result.document.inference.prediction.issue_date.value)

Last Name

last_name (StringField): Last name of the driver license holder.

print(result.document.inference.prediction.last_name.value)

MRZ

mrz (StringField): Machine-readable license number

print(result.document.inference.prediction.mrz.value)

Photo

📄photo (PositionField): Has a photo of the EU driver license holder

for photo_elem in result.document.photo:
    print(photo_elem.polygon)

Place Of Birth

place_of_birth (StringField): Place where the driver license holder was born

print(result.document.inference.prediction.place_of_birth.value)

Signature

📄signature (PositionField): Has a signature of the EU driver license holder

for signature_elem in result.document.signature:
    print(signature_elem.polygon)

Questions?

Join our Slack