EU License Plate OCR Python

The Python OCR SDK supports the License Plate API.

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


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(, input_doc)

# Print a summary of the API result

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

Output (RST):

:Mindee ID: f0f48232-2c80-4473-9c6f-88a09111b84d
:Filename: default_sample.jpg

:Product: mindee/license_plates v1.0
:Rotation applied: No

:License Plates: BY-323-YB

Page Predictions

Page 0
:License Plates: BY-323-YB

Field Types

Standard Fields

These fields are generic and used in several products.


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.


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


The following fields are extracted for License Plate V1:

License Plates

license_plates (List[StringField]): List of all license plates found in the image.

for license_plates_elem in result.document.inference.prediction.license_plates:


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