The Java OCR SDK supports the Multi Receipts Detector API.

Using the sample below, we are going to illustrate how to extract the data that we want using the OCR SDK.
Multi Receipts Detector sample

Quick-Start

import com.mindee.MindeeClient;
import com.mindee.input.LocalInputSource;
import com.mindee.parsing.common.PredictResponse;
import com.mindee.product.multireceiptsdetector.MultiReceiptsDetectorV1;
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<MultiReceiptsDetectorV1> response = mindeeClient.parse(
        MultiReceiptsDetectorV1.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: d7c5b25f-e0d3-4491-af54-6183afa1aaab
:Filename: default_sample.jpg

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

Prediction
==========
:List of Receipts: Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.

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

Page 0
------
:List of Receipts: Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.
                   Polygon with 4 points.

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.

PositionField

The position field PositionField implements:

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

Attributes

The following fields are extracted for Multi Receipts Detector V1:

List of Receipts

receipts: Positions of the receipts on the document.

for (receiptsElem : result.getDocument().getInference().getPrediction().getReceipts())
{
    System.out.println(receiptsElem.polygon);
    System.out.println(receiptsElem.quadrangle);
    System.out.println(receiptsElem.rectangle);
    System.out.println(receiptsElem.boundingBox);
}

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