The Java OCR SDK supports the Invoice Splitter API.

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

Quick-Start

import com.mindee.MindeeClient;
import com.mindee.input.LocalInputSource;
import com.mindee.parsing.common.AsyncPredictResponse;
import com.mindee.product.invoicesplitter.InvoiceSplitterV1;
import java.io.File;
import java.io.IOException;

public class SimpleMindeeClient {

  public static void main(String[] args) throws IOException, InterruptedException {
    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(new File(filePath));

    // Parse the file asynchronously
    AsyncPredictResponse<InvoiceSplitterV1> response = mindeeClient.enqueueAndParse(
        InvoiceSplitterV1.class,
        inputSource
    );

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

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

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

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

}

Output (RST):

########
Document
########
:Mindee ID: 15ad7a19-7b75-43d0-b0c6-9a641a12b49b
:Filename: default_sample.pdf

Inference
#########
:Product: mindee/invoice_splitter v1.2
:Rotation applied: No

Prediction
==========
:Invoice Page Groups:
  +--------------------------------------------------------------------------+
  | Page Indexes                                                             |
  +==========================================================================+
  | 0                                                                        |
  +--------------------------------------------------------------------------+
  | 1                                                                        |
  +--------------------------------------------------------------------------+

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.

Specific Fields

Fields which are specific to this product; they are not used in any other product.

Invoice Page Groups Field

List of page groups. Each group represents a single invoice within a multi-invoice document.

A InvoiceSplitterV1InvoicePageGroup implements the following attributes:

pageIndexes (List<Integer>): List of page indexes that belong to the same invoice (group).

Attributes

The following fields are extracted for Invoice Splitter V1:

Invoice Page Groups

invoicePageGroups(List<InvoiceSplitterV1InvoicePageGroup>): List of page groups. Each group represents a single invoice within a multi-invoice document.

for (invoicePageGroupsElem : result.getDocument().getInference().getPrediction().getInvoicePageGroups())
{
    System.out.println(invoicePageGroupsElem.value);
}

Questions?

Join our Slack