The Python OCR SDK supports the Carte Nationale d'Identité API.

Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
Carte Nationale d'Identité 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.fr.IdCardV2, 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: d33828f1-ef7e-4984-b9df-a2bfaa38a78d
:Filename: default_sample.jpg

Inference
#########
:Product: mindee/idcard_fr v2.0
:Rotation applied: Yes

Prediction
==========
:Nationality:
:Card Access Number: 175775H55790
:Document Number:
:Given Name(s): Victor
                Marie
:Surname: DAMBARD
:Alternate Name:
:Date of Birth: 1994-04-24
:Place of Birth: LYON 4E ARRONDISSEM
:Gender: M
:Expiry Date: 2030-04-02
:Mrz Line 1: IDFRADAMBARD<<<<<<<<<<<<<<<<<<075025
:Mrz Line 2: 170775H557903VICTOR<<MARIE<9404246M5
:Mrz Line 3:
:Date of Issue: 2015-04-03
:Issuing Authority: SOUS-PREFECTURE DE BELLE (02)

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

Page 0
------
:Document Type: OLD
:Document Sides: RECTO & VERSO
:Nationality:
:Card Access Number: 175775H55790
:Document Number:
:Given Name(s): Victor
                Marie
:Surname: DAMBARD
:Alternate Name:
:Date of Birth: 1994-04-24
:Place of Birth: LYON 4E ARRONDISSEM
:Gender: M
:Expiry Date: 2030-04-02
:Mrz Line 1: IDFRADAMBARD<<<<<<<<<<<<<<<<<<075025
:Mrz Line 2: 170775H557903VICTOR<<MARIE<9404246M5
:Mrz Line 3:
:Date of Issue: 2015-04-03
:Issuing Authority: SOUS-PREFECTURE DE BELLE (02)

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.

ClassificationField

The classification field ClassificationField does not implement all the basic BaseField attributes. It only implements value, confidence and page_id.

Note: a classification field's value is always a str`.

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.

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 Carte Nationale d'Identité V2:

Alternate Name

alternate_name (StringField): The alternate name of the card holder.

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

Issuing Authority

authority (StringField): The name of the issuing authority.

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

Date of Birth

birth_date (DateField): The date of birth of the card holder.

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

Place of Birth

birth_place (StringField): The place of birth of the card holder.

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

Card Access Number

card_access_number (StringField): The card access number (CAN).

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

Document Number

document_number (StringField): The document number.

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

Document Sides

📄document_side (ClassificationField): The sides of the document which are visible.

for document_side_elem in result.document.document_side:
    print(document_side_elem.value)

Document Type

📄document_type (ClassificationField): The document type or format.

for document_type_elem in result.document.document_type:
    print(document_type_elem.value)

Expiry Date

expiry_date (DateField): The expiry date of the identification card.

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

Gender

gender (StringField): The gender of the card holder.

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

Given Name(s)

given_names (List[StringField]): The given name(s) of the card holder.

for given_names_elem in result.document.inference.prediction.given_names:
    print(given_names_elem.value)

Date of Issue

issue_date (DateField): The date of issue of the identification card.

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

Mrz Line 1

mrz1 (StringField): The Machine Readable Zone, first line.

print(result.document.inference.prediction.mrz1.value)

Mrz Line 2

mrz2 (StringField): The Machine Readable Zone, second line.

print(result.document.inference.prediction.mrz2.value)

Mrz Line 3

mrz3 (StringField): The Machine Readable Zone, third line.

print(result.document.inference.prediction.mrz3.value)

Nationality

nationality (StringField): The nationality of the card holder.

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

Surname

surname (StringField): The surname of the card holder.

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

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