Multi Receipts Detector
Multi Receipts Detector
The Java SDK supports the Mindee V1 Multi Receipts Detector API.
Product Specifications
Endpoint Name
multi_receipts_detector
Recommended Version
v1.1
Supports Polling/Webhooks
❌ No
Support Synchronous HTTP Calls
✔️ Yes
Geography
🌐 Global
Quick-Start
Using the sample below, we are going to illustrate how to extract the data that we want using the SDK.

Sample Code
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())
// );
}
}
Sample 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 (polygonextendsList<Point>) of a polygon containing the field in the image.pageId (
Integer): the ID of the page, alwaysnullwhen at document-level.
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 (polygonextendsList<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);
}Last updated
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