FR Carte Nationale d'Identité
The Python SDK supports the Mindee V1 Carte Nationale d'Identité API.
Product Specifications
Endpoint Name
idcard_fr
Recommended Version
v2.0
Supports Polling/Webhooks
❌ No
Support Synchronous HTTP Calls
✔️ Yes
Geography
🇫🇷 France
Quick-Start
Using the sample below, we are going to illustrate how to extract the data that we want using the SDK.

Sample Code
#
# Install the Python client library by running:
# pip install mindee
#
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.
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)
Sample 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)Standard Fields
These fields are generic and used in several products.
BaseField
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 beNoneif 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, alwaysNonewhen at document-level.reconstructed (
bool): indicates whether an object was reconstructed (not extracted as the API gave it).
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.
A classification field's `value is always a `str`. {% endhint %}
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 beNone.
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 at document level.
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.
Possible values include:
'RECTO'
'VERSO'
'RECTO & VERSO'
for document_side_elem in result.document.document_side:
print(document_side_elem.value)Document Type
📄document_type (ClassificationField): The document type or format.
Possible values include:
'NEW'
'OLD'
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)Last updated
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