The Java OCR SDK supports the Carte Grise API.

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

Quick-Start

import com.mindee.MindeeClient;
import com.mindee.input.LocalInputSource;
import com.mindee.parsing.common.PredictResponse;
import com.mindee.product.fr.cartegrise.CarteGriseV1;
import java.io.File;
import java.io.IOException;

public class SimpleMindeeClient {

  public static void main(String[] args) throws IOException {
    String apiKey = "my-api-key";
    String filePath = "/path/to/the/file.ext";

    // Init a new client
    MindeeClient mindeeClient = new MindeeClient(apiKey);

    // Load a file from disk
    LocalInputSource inputSource = new LocalInputSource(filePath);

    // Parse the file
    PredictResponse<CarteGriseV1> response = mindeeClient.parse(
        CarteGriseV1.class,
        inputSource
    );

    // Print a summary of the response
    System.out.println(response.toString());

    // Print a summary of the predictions
//  System.out.println(response.getDocument().toString());

    // Print the document-level predictions
//    System.out.println(response.getDocument().getInference().getPrediction().toString());

    // Print the page-level predictions
//    response.getDocument().getInference().getPages().forEach(
//        page -> System.out.println(page.toString())
//    );
  }

}

Output (RST):

########
Document
########
:Mindee ID: 4443182b-57c1-4426-a288-01b94f226e84
:Filename: default_sample.jpg

Inference
#########
:Product: mindee/carte_grise v1.1
:Rotation applied: Yes

Prediction
==========
:a: AB-123-CD
:b: 1998-01-05
:c1: DUPONT YVES
:c3: 27 RUE DES ROITELETS 59169 FERIN LES BAINS FRANCE
:c41: 2 DELAROCHE
:c4a: EST LE PROPRIETAIRE DU VEHICULE
:d1:
:d3: MODELE
:e: VFS1V2009AS1V2009
:f1: 1915
:f2: 1915
:f3: 1915
:g: 3030
:g1: 1307
:i: 2009-12-04
:j: N1
:j1: VP
:j2: AA
:j3: CI
:p1: 1900
:p2: 90
:p3: GO
:p6: 6
:q: 006
:s1: 5
:s2:
:u1: 77
:u2: 3000
:v7: 155
:x1: 2011-07-06
:y1: 17835
:y2:
:y3: 0
:y4: 4
:y5: 2.5
:y6: 178.35
:Formula Number: 2009AS05284
:Owner's First Name: YVES
:Owner's Surname: DUPONT
:MRZ Line 1:
:MRZ Line 2: CI<<MARQUES<<<<<<<MODELE<<<<<<<2009AS0528402

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

Page 0
------
:a: AB-123-CD
:b: 1998-01-05
:c1: DUPONT YVES
:c3: 27 RUE DES ROITELETS 59169 FERIN LES BAINS FRANCE
:c41: 2 DELAROCHE
:c4a: EST LE PROPRIETAIRE DU VEHICULE
:d1:
:d3: MODELE
:e: VFS1V2009AS1V2009
:f1: 1915
:f2: 1915
:f3: 1915
:g: 3030
:g1: 1307
:i: 2009-12-04
:j: N1
:j1: VP
:j2: AA
:j3: CI
:p1: 1900
:p2: 90
:p3: GO
:p6: 6
:q: 006
:s1: 5
:s2:
:u1: 77
:u2: 3000
:v7: 155
:x1: 2011-07-06
:y1: 17835
:y2:
:y3: 0
:y4: 4
:y5: 2.5
:y6: 178.35
:Formula Number: 2009AS05284
:Owner's First Name: YVES
:Owner's Surname: DUPONT
:MRZ Line 1:
:MRZ Line 2: CI<<MARQUES<<<<<<<MODELE<<<<<<<2009AS0528402

Field Types

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:

confidence (Double): the confidence score of the field prediction.
boundingBox (Polygon): contains exactly 4 relative vertices (points) coordinates of a right rectangle containing the field in the document.
polygon (Polygon): contains the relative vertices coordinates (polygon extends List<Point>) of a polygon containing the field in the image.
pageId (Integer): the ID of the page, always null when at document-level.

Note: A Point simply refers to a List of Double.

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

StringField

The text field StringField extends BaseField, but also implements:

value (String): corresponds to the field value.
rawValue (String): corresponds to the raw value as it appears on the document.

DateField

The date field DateField extends BaseField, but also implements:

value (LocalDate): an accessible representation of the value as a Java object. Can be null.

Attributes

The following fields are extracted for Carte Grise V1:

a

a: The vehicle's license plate number.

System.out.println(result.getDocument().getInference().getPrediction().getA().value);

b

b: The vehicle's first release date.

System.out.println(result.getDocument().getInference().getPrediction().getB().value);

c1

c1: The vehicle owner's full name including maiden name.

System.out.println(result.getDocument().getInference().getPrediction().getC1().value);

c3

c3: The vehicle owner's address.

System.out.println(result.getDocument().getInference().getPrediction().getC3().value);

c41

c41: Number of owners of the license certificate.

System.out.println(result.getDocument().getInference().getPrediction().getC41().value);

c4a

c4A: Mentions about the ownership of the vehicle.

System.out.println(result.getDocument().getInference().getPrediction().getC4A().value);

d1

d1: The vehicle's brand.

System.out.println(result.getDocument().getInference().getPrediction().getD1().value);

d3

d3: The vehicle's commercial name.

System.out.println(result.getDocument().getInference().getPrediction().getD3().value);

e

e: The Vehicle Identification Number (VIN).

System.out.println(result.getDocument().getInference().getPrediction().getE().value);

f1

f1: The vehicle's maximum admissible weight.

System.out.println(result.getDocument().getInference().getPrediction().getF1().value);

f2

f2: The vehicle's maximum admissible weight within the license's state.

System.out.println(result.getDocument().getInference().getPrediction().getF2().value);

f3

f3: The vehicle's maximum authorized weight with coupling.

System.out.println(result.getDocument().getInference().getPrediction().getF3().value);

Formula Number

formulaNumber: The document's formula number.

System.out.println(result.getDocument().getInference().getPrediction().getFormulaNumber().value);

g

g: The vehicle's weight with coupling if tractor different than category M1.

System.out.println(result.getDocument().getInference().getPrediction().getG().value);

g1

g1: The vehicle's national empty weight.

System.out.println(result.getDocument().getInference().getPrediction().getG1().value);

i

i: The car registration date of the given certificate.

System.out.println(result.getDocument().getInference().getPrediction().getI().value);

j

j: The vehicle's category.

System.out.println(result.getDocument().getInference().getPrediction().getJ().value);

j1

j1: The vehicle's national type.

System.out.println(result.getDocument().getInference().getPrediction().getJ1().value);

j2

j2: The vehicle's body type (CE).

System.out.println(result.getDocument().getInference().getPrediction().getJ2().value);

j3

j3: The vehicle's body type (National designation).

System.out.println(result.getDocument().getInference().getPrediction().getJ3().value);

MRZ Line 1

mrz1: Machine Readable Zone, first line.

System.out.println(result.getDocument().getInference().getPrediction().getMrz1().value);

MRZ Line 2

mrz2: Machine Readable Zone, second line.

System.out.println(result.getDocument().getInference().getPrediction().getMrz2().value);

Owner's First Name

ownerFirstName: The vehicle's owner first name.

System.out.println(result.getDocument().getInference().getPrediction().getOwnerFirstName().value);

Owner's Surname

ownerSurname: The vehicle's owner surname.

System.out.println(result.getDocument().getInference().getPrediction().getOwnerSurname().value);

p1

p1: The vehicle engine's displacement (cm3).

System.out.println(result.getDocument().getInference().getPrediction().getP1().value);

p2

p2: The vehicle's maximum net power (kW).

System.out.println(result.getDocument().getInference().getPrediction().getP2().value);

p3

p3: The vehicle's fuel type or energy source.

System.out.println(result.getDocument().getInference().getPrediction().getP3().value);

p6

p6: The vehicle's administrative power (fiscal horsepower).

System.out.println(result.getDocument().getInference().getPrediction().getP6().value);

q

q: The vehicle's power to weight ratio.

System.out.println(result.getDocument().getInference().getPrediction().getQ().value);

s1

s1: The vehicle's number of seats.

System.out.println(result.getDocument().getInference().getPrediction().getS1().value);

s2

s2: The vehicle's number of standing rooms (person).

System.out.println(result.getDocument().getInference().getPrediction().getS2().value);

u1

u1: The vehicle's sound level (dB).

System.out.println(result.getDocument().getInference().getPrediction().getU1().value);

u2

u2: The vehicle engine's rotation speed (RPM).

System.out.println(result.getDocument().getInference().getPrediction().getU2().value);

v7

v7: The vehicle's CO2 emission (g/km).

System.out.println(result.getDocument().getInference().getPrediction().getV7().value);

x1

x1: Next technical control date.

System.out.println(result.getDocument().getInference().getPrediction().getX1().value);

y1

y1: Amount of the regional proportional tax of the registration (in euros).

System.out.println(result.getDocument().getInference().getPrediction().getY1().value);

y2

y2: Amount of the additional parafiscal tax of the registration (in euros).

System.out.println(result.getDocument().getInference().getPrediction().getY2().value);

y3

y3: Amount of the additional CO2 tax of the registration (in euros).

System.out.println(result.getDocument().getInference().getPrediction().getY3().value);

y4

y4: Amount of the fee for managing the registration (in euros).

System.out.println(result.getDocument().getInference().getPrediction().getY4().value);

y5

y5: Amount of the fee for delivery of the registration certificate in euros.

System.out.println(result.getDocument().getInference().getPrediction().getY5().value);

y6

y6: Total amount of registration fee to be paid in euros.

System.out.println(result.getDocument().getInference().getPrediction().getY6().value);

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