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Custom OCR Java (Deprecated)

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This product is still supported, but is considered to be deprecated. If you are looking for the docTI API documentation, you can find it here.

Quick Start

String path = "/path/to/the/file.ext";
LocalInputSource inputSource = new LocalInputSource(path);
CustomEndpoint myEndpoint = new CustomEndpoint(
    "wnine",
    "john",
    // "1.1" // optional
);

MindeeClient mindeeClient = new MindeeClient(apiKey);
  
PredictResponse<CustomV1> response = mindeeClient
    .parse(inputSource, myEndpoint);

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

If the version argument is set, you'll be required to update it every time a new model is trained.
This is probably not needed for development but essential for production use.

The CustomV1 Object

The CustomV1 object contains the results of document-level and page-level predictions.

All the fields which are present in the API builder are available.

The fields are defined when creating your custom API.

Document-Level Predictions

The document-level predictions are ultimately contained in the CustomV1Document object.

The predictions are stored in two properties: classificationFields and fields.

Both are a Map where the key is a String of the name of the field.

For the values:

  • classificationFields have a ClassificationField object as value, each containing a single String value.
  • fields have a ListField object as value, each containing a list of all String values extracted for this field.

Here are some example usages:

String path = "/path/to/the/file.ext";
LocalInputSource inputSource = new LocalInputSource(path);

PredictResponse<CustomV1> response = mindeeClient
    .parse(CustomV1.class, inputSource);

CustomV1 inference = response.getDocument().getInference();
  
// === Getting a single field === \\

ListField employerName = inference.getPrediction().getFields().get("employer_name");

// get the field as a string
System.out.println(employerName.toString());

// get the field as a string with a custom separator
System.out.println(employerName.getContentsString("_"));

// get the list of string values in the field
System.out.println(employerName.getContentsList());

// == Getting all fields === \\

for (Map.Entry<String, ListField> entry : inference.getPrediction().getFields().entrySet()) {
  ListField field = entry.getValue();

  // Not really needed, just showing that the method exists ;-)
  if (field.isEmpty()) {
      continue;
  }

  // We can print directly as in the single field example above ...
  System.out.println(field.toString());

  // ... or go through each value
  for (ListFieldValue value : field.getValues()) {

    // The actual value (word)
    System.out.println(value.getContent());

    // The page on which the value was found
    System.out.println(value.getPageId());
  }
}

Page-Level Predictions

The page-level predictions are ultimately contained in the CustomV1Page object.

In the response, there is a list of these objects, each one representing a single page.

The prediction results are stored as a key-value HashMap<String, ListField>.

Here are some example usages:

String path = "/path/to/the/file.ext";
LocalInputSource inputSource = new LocalInputSource(path);

PredictResponse<CustomV1> response = mindeeClient
    .parse(CustomV1.class, inputSource);

CustomV1 inference = response.getDocument().getInference();
  
for (Page<CustomV1Page> page : inference.getPages()) {
  CustomV1Page pagePrediction = page.getPrediction();

  for (Map.Entry<String, ListField> entry : pagePrediction.entrySet()) {
    ListField field = entry.getValue();
    
    // get the field as a string
    System.out.println(field.toString());

    // get the field as a string with a custom separator
    System.out.println(field.getContentsString("_"));

    // get the list of strings in the field
    System.out.println(field.getContentsList());
  }
}

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Updated 5 months ago