Package com.azure.ai.formrecognizer

Class FormRecognizerAsyncClient

java.lang.Object
com.azure.ai.formrecognizer.FormRecognizerAsyncClient
public final class FormRecognizerAsyncClient extends Object

This class provides an asynchronous client to connect to the Form Recognizer Azure Cognitive Service.

This client provides asynchronous methods to perform:

  1. Custom Form Analysis: Extraction and analysis of data from forms and documents specific to distinct business data and use cases. Use the custom trained model by passing its modelId into the beginRecognizeCustomForms method.
  2. Prebuilt Model Analysis: Analyze receipts, business cards, invoices and other documents with supported prebuilt models Use the beginRecognizeReceipts method to recognize receipt information.
  3. Layout Analysis: Extraction and analysis of text, selection marks, tables, and bounding box coordinates, from forms and documents. Use beginRecognizeContent method tpo perform layout analysis.
  4. Polling and Callbacks: It includes mechanisms for polling the service to check the status of an analysis operation or registering callbacks to receive notifications when the analysis is complete.

Note: This client only supports FormRecognizerServiceVersion.V2_1 and lower. Recommended to use a newer service version, DocumentAnalysisClient and DocumentModelAdministrationClient.

Refer to the Migration guide to use API versions 2022-08-31 and up.

Service clients are the point of interaction for developers to use Azure Form Recognizer. FormRecognizerClient is the synchronous service client and FormRecognizerAsyncClient is the asynchronous service client. The examples shown in this document use a credential object named DefaultAzureCredential for authentication, which is appropriate for most scenarios, including local development and production environments. Additionally, we recommend using managed identity for authentication in production environments. You can find more information on different ways of authenticating and their corresponding credential types in the Azure Identity documentation".

Sample: Construct a FormRecognizerClient with DefaultAzureCredential

The following code sample demonstrates the creation of a FormRecognizerAsyncClient, using the `DefaultAzureCredentialBuilder` to configure it.

 FormRecognizerAsyncClient formRecognizerAsyncClient = new FormRecognizerClientBuilder()
     .endpoint("{endpoint}")
     .credential(new DefaultAzureCredentialBuilder().build())
     .buildAsyncClient();

Further, see the code sample below to use AzureKeyCredential for client creation.

 FormRecognizerAsyncClient formRecognizerAsyncClient = new FormRecognizerClientBuilder()
     .credential(new AzureKeyCredential("{key}"))
     .endpoint("{endpoint}")
     .buildAsyncClient();
See Also:

  • Method Details

    • beginRecognizeCustomFormsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomFormsFromUrl(String modelId, String formUrl)
      Recognizes form data from documents using optical character recognition (OCR) and a custom trained model with or without labels.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String formUrl = "{form_url}";
 String modelId = "{custom_trained_model_id}";

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      modelId - The UUID string format custom trained model Id to be used.
      formUrl - The URL of the form to analyze.
      Returns:
      A PollerFlux that polls the recognize custom form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If formUrl, modelId is null.

    • beginRecognizeCustomFormsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomFormsFromUrl(String modelId, String formUrl, RecognizeCustomFormsOptions recognizeCustomFormsOptions)
      Recognizes form data from documents using optical character recognition (OCR) and a custom trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String formUrl = "{formUrl}";
 String modelId = "{model_id}";
 boolean includeFieldElements = true;

 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl,
     new RecognizeCustomFormsOptions()
         .setFieldElementsIncluded(includeFieldElements)
         .setPollInterval(Duration.ofSeconds(10)))
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      modelId - The UUID string format custom trained model Id to be used.
      formUrl - The source URL to the input form.
      recognizeCustomFormsOptions - The additional configurable options that may be passed when recognizing custom forms.
      Returns:
      A PollerFlux that polls the recognize custom form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If formUrl, modelId is null.

    • beginRecognizeCustomForms

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomForms(String modelId, Flux<ByteBuffer> form, long length)
      Recognizes form data from documents using optical character recognition (OCR) and a custom trained model with or without labels.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Note that the data passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File form = new File("{local/file_path/fileName.jpg}");
 String modelId = "{custom_trained_model_id}";
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer = toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(form.toPath())));

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomForms(modelId, buffer, form.length())
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      modelId - The UUID string format custom trained model Id to be used.
      form - The data of the form to recognize form information from.
      length - The exact length of the data.
      Returns:
      A PollerFlux that polls the recognize custom form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If form, modelId is null.

    • beginRecognizeCustomForms

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomForms(String modelId, Flux<ByteBuffer> form, long length, RecognizeCustomFormsOptions recognizeCustomFormsOptions)
      Recognizes form data from documents using optical character recognition (OCR) and a custom trained model with or without labels.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Note that the data passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File form = new File("{local/file_path/fileName.jpg}");
 String modelId = "{custom_trained_model_id}";
 boolean includeFieldElements = true;
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer = toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(form.toPath())));

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomForms(modelId, buffer, form.length(),
     new RecognizeCustomFormsOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setFieldElementsIncluded(includeFieldElements)
         .setPollInterval(Duration.ofSeconds(5)))
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldName, formField) -> {
             System.out.printf("Field text: %s%n", fieldName);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      modelId - The UUID string format custom trained model Id to be used.
      form - The data of the form to recognize form information from.
      length - The exact length of the data.
      recognizeCustomFormsOptions - The additional configurable options that may be passed when recognizing custom forms.
      Returns:
      A PollerFlux that polls the recognize custom form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If form, modelId is null.

    • beginRecognizeContentFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContentFromUrl(String formUrl)
      Recognizes content/layout data from documents using optical character recognition (OCR).

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String formUrl = "{formUrl}";
 formRecognizerAsyncClient.beginRecognizeContentFromUrl(formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(formPage -> {
         System.out.printf("Page Angle: %s%n", formPage.getTextAngle());
         System.out.printf("Page Dimension unit: %s%n", formPage.getUnit());
         // Table information
         System.out.println("Recognized Tables: ");
         formPage.getTables().forEach(formTable ->
             formTable.getCells().forEach(recognizedTableCell ->
                 System.out.printf("%s ", recognizedTableCell.getText())));
     });
      Parameters:
      formUrl - The URL of the form to analyze.
      Returns:
      A PollerFlux that polls the recognize content operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If formUrl is null.

    • beginRecognizeContentFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContentFromUrl(String formUrl, RecognizeContentOptions recognizeContentOptions)
      Recognizes layout data from documents using optical character recognition (OCR) and a custom trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Content recognition supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language in the options.

      Code sample

       String formUrl = "{formUrl}";
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeContentFromUrl(formUrl,
     new RecognizeContentOptions().setPollInterval(Duration.ofSeconds(5)))
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(formPage -> {
         System.out.printf("Page Angle: %s%n", formPage.getTextAngle());
         System.out.printf("Page Dimension unit: %s%n", formPage.getUnit());
         // Table information
         System.out.println("Recognized Tables: ");
         formPage.getTables().forEach(formTable ->
             formTable.getCells().forEach(recognizedTableCell ->
                 System.out.printf("%s ", recognizedTableCell.getText())));
     });
      Parameters:
      formUrl - The source URL to the input form.
      recognizeContentOptions - The additional configurable options that may be passed when recognizing content/layout on a form.
      Returns:
      A PollerFlux that polls the recognized content/layout operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If formUrl is null.

    • beginRecognizeContent

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContent(Flux<ByteBuffer> form, long length)
      Recognizes content/layout data using optical character recognition (OCR).

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Note that the data passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File form = new File("{local/file_path/fileName.jpg}");
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer = toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(form.toPath())));

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeContent(buffer, form.length())
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(formPage -> {
         System.out.printf("Page Angle: %s%n", formPage.getTextAngle());
         System.out.printf("Page Dimension unit: %s%n", formPage.getUnit());
         // Table information
         System.out.println("Recognized Tables: ");
         formPage.getTables().forEach(formTable ->
             formTable.getCells().forEach(recognizedTableCell ->
                 System.out.printf("%s ", recognizedTableCell.getText())));
     });
      Parameters:
      form - The data of the form to recognize content information from.
      length - The exact length of the data.
      Returns:
      A PollerFlux polls the recognize content operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If form is null.

    • beginRecognizeContent

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContent(Flux<ByteBuffer> form, long length, RecognizeContentOptions recognizeContentOptions)
      Recognizes content/layout data using optical character recognition (OCR).

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Note that the data passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Content recognition supports auto language identification and multilanguage documents, so only provide a language code if you would like to force the documented to be processed as that specific language in the options.

      Code sample

       File form = new File("{local/file_path/fileName.jpg}");
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer = toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(form.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeContent(buffer, form.length(),
     new RecognizeContentOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setPollInterval(Duration.ofSeconds(5)))
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(formPage -> {
         System.out.printf("Page Angle: %s%n", formPage.getTextAngle());
         System.out.printf("Page Dimension unit: %s%n", formPage.getUnit());
         // Table information
         System.out.println("Recognized Tables: ");
         formPage.getTables().forEach(formTable -> formTable.getCells().forEach(recognizedTableCell ->
             System.out.printf("%s ", recognizedTableCell.getText())));
     });
      Parameters:
      form - The data of the form to recognize content information from.
      length - The exact length of the data.
      recognizeContentOptions - The additional configurable options that may be passed when recognizing content/layout on a form.
      Returns:
      A PollerFlux polls the recognize content operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If form is null.

    • beginRecognizeReceiptsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceiptsFromUrl(String receiptUrl)
      Recognizes receipt data using optical character recognition (OCR) and a prebuilt receipt trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a receipt.

      Code sample

       String formUrl = "{form_url}";
 String modelId = "{custom_trained_model_id}";

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      receiptUrl - The URL of the receipt to analyze.
      Returns:
      A PollerFlux that polls the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If receiptUrl is null.

    • beginRecognizeReceiptsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceiptsFromUrl(String receiptUrl, RecognizeReceiptsOptions recognizeReceiptsOptions)
      Recognizes receipt data using optical character recognition (OCR) and a prebuilt receipt trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String formUrl = "{form_url}";
 String modelId = "{custom_trained_model_id}";

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      receiptUrl - The source URL to the input receipt.
      recognizeReceiptsOptions - The additional configurable options that may be passed when analyzing a receipt.
      Returns:
      A PollerFlux that polls the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If receiptUrl is null.

    • beginRecognizeReceipts

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceipts(Flux<ByteBuffer> receipt, long length)
      Recognizes receipt data using optical character recognition (OCR) and a prebuilt receipt trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a receipt. Note that the receipt passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       String formUrl = "{form_url}";
 String modelId = "{custom_trained_model_id}";

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      receipt - The data of the document to recognize receipt information from.
      length - The exact length of the data.
      Returns:
      A PollerFlux that polls the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If receipt is null.

    • beginRecognizeReceipts

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceipts(Flux<ByteBuffer> receipt, long length, RecognizeReceiptsOptions recognizeReceiptsOptions)
      Recognizes receipt data from documents using optical character recognition (OCR) and a prebuilt receipt trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a receipt. Note that the receipt passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       String formUrl = "{form_url}";
 String modelId = "{custom_trained_model_id}";

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      receipt - The data of the document to recognize receipt information from.
      length - The exact length of the data.
      recognizeReceiptsOptions - The additional configurable options that may be passed when analyzing a receipt.
      Returns:
      A PollerFlux that polls the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If receipt is null.

    • beginRecognizeBusinessCardsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCardsFromUrl(String businessCardUrl)
      Recognizes business card data using optical character recognition (OCR) and a prebuilt business card trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a business card.

      Code sample

       String formUrl = "{form_url}";
 String modelId = "{custom_trained_model_id}";

 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl)
     // if training polling operation completed, retrieve the final result.
     .flatMap(AsyncPollResponse::getFinalResult)
     .flatMap(Flux::fromIterable)
     .subscribe(recognizedForm -> recognizedForm.getFields()
         .forEach((fieldText, formField) -> {
             System.out.printf("Field text: %s%n", fieldText);
             System.out.printf("Field value data text: %s%n", formField.getValueData().getText());
             System.out.printf("Confidence score: %.2f%n", formField.getConfidence());
         }));
      Parameters:
      businessCardUrl - The source URL to the input business card.
      Returns:
      A PollerFlux that polls the recognize business card operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If businessCardUrl is null.

    • beginRecognizeBusinessCardsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCardsFromUrl(String businessCardUrl, RecognizeBusinessCardsOptions recognizeBusinessCardsOptions)
      Recognizes business card data using optical character recognition (OCR) and a prebuilt business card trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a business card.

      Code sample

       String businessCardUrl = "{business_card_url}";
 boolean includeFieldElements = true;
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeBusinessCardsFromUrl(businessCardUrl,
     new RecognizeBusinessCardsOptions()
         .setFieldElementsIncluded(includeFieldElements))
     .setPollInterval(Duration.ofSeconds(5))
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedBusinessCards -> {
         for (int i = 0; i < recognizedBusinessCards.size(); i++) {
             RecognizedForm recognizedBusinessCard = recognizedBusinessCards.get(i);
             Map<String, FormField> recognizedFields = recognizedBusinessCard.getFields();
             System.out.printf("----------- Recognized Business Card page %d -----------%n", i);
             FormField contactNamesFormField = recognizedFields.get("ContactNames");
             if (contactNamesFormField != null) {
                 if (FieldValueType.LIST == contactNamesFormField.getValue().getValueType()) {
                     List<FormField> contactNamesList = contactNamesFormField.getValue().asList();
                     contactNamesList.stream()
                         .filter(contactName -> FieldValueType.MAP == contactName.getValue().getValueType())
                         .map(contactName -> {
                             System.out.printf("Contact name: %s%n", contactName.getValueData().getText());
                             return contactName.getValue().asMap();
                         })
                         .forEach(contactNamesMap -> contactNamesMap.forEach((key, contactName) -> {
                             if ("FirstName".equals(key)) {
                                 if (FieldValueType.STRING == contactName.getValue().getValueType()) {
                                     String firstName = contactName.getValue().asString();
                                     System.out.printf("\tFirst Name: %s, confidence: %.2f%n",
                                         firstName, contactName.getConfidence());
                                 }
                             }
                             if ("LastName".equals(key)) {
                                 if (FieldValueType.STRING == contactName.getValue().getValueType()) {
                                     String lastName = contactName.getValue().asString();
                                     System.out.printf("\tLast Name: %s, confidence: %.2f%n",
                                         lastName, contactName.getConfidence());
                                 }
                             }
                         }));
                 }
             }
             FormField jobTitles = recognizedFields.get("JobTitles");
             if (jobTitles != null) {
                 if (FieldValueType.LIST == jobTitles.getValue().getValueType()) {
                     List<FormField> jobTitlesItems = jobTitles.getValue().asList();
                     jobTitlesItems.forEach(jobTitlesItem -> {
                         if (FieldValueType.STRING == jobTitlesItem.getValue().getValueType()) {
                             String jobTitle = jobTitlesItem.getValue().asString();
                             System.out.printf("Job Title: %s, confidence: %.2f%n",
                                 jobTitle, jobTitlesItem.getConfidence());
                         }
                     });
                 }
             }
         }
     });
      Parameters:
      businessCardUrl - The source URL to the input business card.
      recognizeBusinessCardsOptions - The additional configurable options that may be passed when analyzing a business card.
      Returns:
      A PollerFlux that polls the recognize business card operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If businessCardUrl is null.

    • beginRecognizeBusinessCards

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCards(Flux<ByteBuffer> businessCard, long length)
      Recognizes business card data using optical character recognition (OCR) and a prebuilt business card trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a business card. Note that the businessCard passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File businessCard = new File("{local/file_path/fileName.jpg}");
 Flux<ByteBuffer> buffer = toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(businessCard.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeBusinessCards(buffer, businessCard.length())
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedBusinessCards -> {
         for (int i = 0; i < recognizedBusinessCards.size(); i++) {
             RecognizedForm recognizedForm = recognizedBusinessCards.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             System.out.printf("----------- Recognized Business Card page %d -----------%n", i);
             FormField contactNamesFormField = recognizedFields.get("ContactNames");
             if (contactNamesFormField != null) {
                 if (FieldValueType.LIST == contactNamesFormField.getValue().getValueType()) {
                     List<FormField> contactNamesList = contactNamesFormField.getValue().asList();
                     contactNamesList.stream()
                         .filter(contactName -> FieldValueType.MAP == contactName.getValue().getValueType())
                         .map(contactName -> {
                             System.out.printf("Contact name: %s%n", contactName.getValueData().getText());
                             return contactName.getValue().asMap();
                         })
                         .forEach(contactNamesMap -> contactNamesMap.forEach((key, contactName) -> {
                             if ("FirstName".equals(key)) {
                                 if (FieldValueType.STRING == contactName.getValue().getValueType()) {
                                     String firstName = contactName.getValue().asString();
                                     System.out.printf("\tFirst Name: %s, confidence: %.2f%n",
                                         firstName, contactName.getConfidence());
                                 }
                             }
                             if ("LastName".equals(key)) {
                                 if (FieldValueType.STRING == contactName.getValue().getValueType()) {
                                     String lastName = contactName.getValue().asString();
                                     System.out.printf("\tLast Name: %s, confidence: %.2f%n",
                                         lastName, contactName.getConfidence());
                                 }
                             }
                         }));
                 }
             }
             FormField jobTitles = recognizedFields.get("JobTitles");
             if (jobTitles != null) {
                 if (FieldValueType.LIST == jobTitles.getValue().getValueType()) {
                     List<FormField> jobTitlesItems = jobTitles.getValue().asList();
                     jobTitlesItems.forEach(jobTitlesItem -> {
                         if (FieldValueType.STRING == jobTitlesItem.getValue().getValueType()) {
                             String jobTitle = jobTitlesItem.getValue().asString();
                             System.out.printf("Job Title: %s, confidence: %.2f%n",
                                 jobTitle, jobTitlesItem.getConfidence());
                         }
                     });
                 }
             }
         }
     });
      Parameters:
      businessCard - The data of the document to recognize business card information from.
      length - The exact length of the data.
      Returns:
      A PollerFlux that polls the recognize business card operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If businessCard is null.

    • beginRecognizeBusinessCards

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCards(Flux<ByteBuffer> businessCard, long length, RecognizeBusinessCardsOptions recognizeBusinessCardsOptions)
      Recognizes business card data from documents using optical character recognition (OCR) and a prebuilt business card trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a business card. Note that the businessCard passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File businessCard = new File("{local/file_path/fileName.jpg}");
 boolean includeFieldElements = true;
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer = toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(businessCard.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeBusinessCards(buffer, businessCard.length(),
     new RecognizeBusinessCardsOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setFieldElementsIncluded(includeFieldElements))
     .setPollInterval(Duration.ofSeconds(5))
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedBusinessCards -> {
         for (int i = 0; i < recognizedBusinessCards.size(); i++) {
             RecognizedForm recognizedForm = recognizedBusinessCards.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             System.out.printf("----------- Recognized Business Card page %d -----------%n", i);
             FormField contactNamesFormField = recognizedFields.get("ContactNames");
             if (contactNamesFormField != null) {
                 if (FieldValueType.LIST == contactNamesFormField.getValue().getValueType()) {
                     List<FormField> contactNamesList = contactNamesFormField.getValue().asList();
                     contactNamesList.stream()
                         .filter(contactName -> FieldValueType.MAP == contactName.getValue().getValueType())
                         .map(contactName -> {
                             System.out.printf("Contact name: %s%n", contactName.getValueData().getText());
                             return contactName.getValue().asMap();
                         })
                         .forEach(contactNamesMap -> contactNamesMap.forEach((key, contactName) -> {
                             if ("FirstName".equals(key)) {
                                 if (FieldValueType.STRING == contactName.getValue().getValueType()) {
                                     String firstName = contactName.getValue().asString();
                                     System.out.printf("\tFirst Name: %s, confidence: %.2f%n",
                                         firstName, contactName.getConfidence());
                                 }
                             }
                             if ("LastName".equals(key)) {
                                 if (FieldValueType.STRING == contactName.getValue().getValueType()) {
                                     String lastName = contactName.getValue().asString();
                                     System.out.printf("\tLast Name: %s, confidence: %.2f%n",
                                         lastName, contactName.getConfidence());
                                 }
                             }
                         }));
                 }
             }
             FormField jobTitles = recognizedFields.get("JobTitles");
             if (jobTitles != null) {
                 if (FieldValueType.LIST == jobTitles.getValue().getValueType()) {
                     List<FormField> jobTitlesItems = jobTitles.getValue().asList();
                     jobTitlesItems.forEach(jobTitlesItem -> {
                         if (FieldValueType.STRING == jobTitlesItem.getValue().getValueType()) {
                             String jobTitle = jobTitlesItem.getValue().asString();
                             System.out.printf("Job Title: %s, confidence: %.2f%n",
                                 jobTitle, jobTitlesItem.getConfidence());
                         }
                     });
                 }
             }
         }
     });
      Parameters:
      businessCard - The data of the document to recognize business card information from.
      length - The exact length of the data.
      recognizeBusinessCardsOptions - The additional configurable options that may be passed when analyzing a business card.
      Returns:
      A PollerFlux that polls the recognize business card operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If businessCard is null.

    • beginRecognizeIdentityDocumentsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocumentsFromUrl(String identityDocumentUrl)
      Analyze identity documents using optical character recognition (OCR) and a prebuilt model trained on identity documents model to extract key information from passports and US driver licenses. See here for fields found on an identity document.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String idDocumentUrl = "idDocumentUrl";
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeIdentityDocumentsFromUrl(idDocumentUrl)
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedIDDocumentResult -> {
         for (int i = 0; i < recognizedIDDocumentResult.size(); i++) {
             RecognizedForm recognizedForm = recognizedIDDocumentResult.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             System.out.printf("----------- Recognized license info for page %d -----------%n", i);

             FormField firstNameField = recognizedFields.get("FirstName");
             if (firstNameField != null) {
                 if (FieldValueType.STRING == firstNameField.getValue().getValueType()) {
                     String firstName = firstNameField.getValue().asString();
                     System.out.printf("First Name: %s, confidence: %.2f%n",
                         firstName, firstNameField.getConfidence());
                 }
             }

             FormField lastNameField = recognizedFields.get("LastName");
             if (lastNameField != null) {
                 if (FieldValueType.STRING == lastNameField.getValue().getValueType()) {
                     String lastName = lastNameField.getValue().asString();
                     System.out.printf("Last name: %s, confidence: %.2f%n",
                         lastName, lastNameField.getConfidence());
                 }
             }

             FormField countryRegionFormField = recognizedFields.get("CountryRegion");
             if (countryRegionFormField != null) {
                 if (FieldValueType.STRING == countryRegionFormField.getValue().getValueType()) {
                     String countryRegion = countryRegionFormField.getValue().asCountryRegion();
                     System.out.printf("Country or region: %s, confidence: %.2f%n",
                         countryRegion, countryRegionFormField.getConfidence());
                 }
             }

             FormField dateOfExpirationField = recognizedFields.get("DateOfExpiration");
             if (dateOfExpirationField != null) {
                 if (FieldValueType.DATE == dateOfExpirationField.getValue().getValueType()) {
                     LocalDate expirationDate = dateOfExpirationField.getValue().asDate();
                     System.out.printf("Document date of expiration: %s, confidence: %.2f%n",
                         expirationDate, dateOfExpirationField.getConfidence());
                 }
             }

             FormField documentNumberField = recognizedFields.get("DocumentNumber");
             if (documentNumberField != null) {
                 if (FieldValueType.STRING == documentNumberField.getValue().getValueType()) {
                     String documentNumber = documentNumberField.getValue().asString();
                     System.out.printf("Document number: %s, confidence: %.2f%n",
                         documentNumber, documentNumberField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      identityDocumentUrl - The source URL to the input identity document.
      Returns:
      A PollerFlux that polls the recognize identity document operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If identityDocumentUrl is null.

    • beginRecognizeIdentityDocumentsFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocumentsFromUrl(String identityDocumentUrl, RecognizeIdentityDocumentOptions recognizeIdentityDocumentOptions)
      Analyze identity documents using optical character recognition (OCR) and a prebuilt model trained on identity documents model to extract key information from passports and US driver licenses. See here for fields found on an identity document.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String licenseDocumentUrl = "licenseDocumentUrl";
 boolean includeFieldElements = true;
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeIdentityDocumentsFromUrl(licenseDocumentUrl,
     new RecognizeIdentityDocumentOptions()
         .setFieldElementsIncluded(includeFieldElements))
     .setPollInterval(Duration.ofSeconds(5))
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedIDDocumentResult -> {
         for (int i = 0; i < recognizedIDDocumentResult.size(); i++) {
             RecognizedForm recognizedForm = recognizedIDDocumentResult.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             System.out.printf("----------- Recognized license info for page %d -----------%n", i);

             FormField firstNameField = recognizedFields.get("FirstName");
             if (firstNameField != null) {
                 if (FieldValueType.STRING == firstNameField.getValue().getValueType()) {
                     String firstName = firstNameField.getValue().asString();
                     System.out.printf("First Name: %s, confidence: %.2f%n",
                         firstName, firstNameField.getConfidence());
                 }
             }

             FormField lastNameField = recognizedFields.get("LastName");
             if (lastNameField != null) {
                 if (FieldValueType.STRING == lastNameField.getValue().getValueType()) {
                     String lastName = lastNameField.getValue().asString();
                     System.out.printf("Last name: %s, confidence: %.2f%n",
                         lastName, lastNameField.getConfidence());
                 }
             }

             FormField countryRegionFormField = recognizedFields.get("CountryRegion");
             if (countryRegionFormField != null) {
                 if (FieldValueType.STRING == countryRegionFormField.getValue().getValueType()) {
                     String countryRegion = countryRegionFormField.getValue().asCountryRegion();
                     System.out.printf("Country or region: %s, confidence: %.2f%n",
                         countryRegion, countryRegionFormField.getConfidence());
                 }
             }

             FormField dateOfExpirationField = recognizedFields.get("DateOfExpiration");
             if (dateOfExpirationField != null) {
                 if (FieldValueType.DATE == dateOfExpirationField.getValue().getValueType()) {
                     LocalDate expirationDate = dateOfExpirationField.getValue().asDate();
                     System.out.printf("Document date of expiration: %s, confidence: %.2f%n",
                         expirationDate, dateOfExpirationField.getConfidence());
                 }
             }

             FormField documentNumberField = recognizedFields.get("DocumentNumber");
             if (documentNumberField != null) {
                 if (FieldValueType.STRING == documentNumberField.getValue().getValueType()) {
                     String documentNumber = documentNumberField.getValue().asString();
                     System.out.printf("Document number: %s, confidence: %.2f%n",
                         documentNumber, documentNumberField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      identityDocumentUrl - The source URL to the input identity document.
      recognizeIdentityDocumentOptions - The additional configurable options that may be passed when analyzing an identity document.
      Returns:
      A PollerFlux that polls the analyze identity document operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If identityDocumentUrl is null.

    • beginRecognizeIdentityDocuments

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocuments(Flux<ByteBuffer> identityDocument, long length)
      Analyze identity documents using optical character recognition (OCR) and a prebuilt model trained on identity documents model to extract key information from passports and US driver licenses. See here for fields found on an identity document.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Note that the identityDocument passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File license = new File("local/file_path/license.jpg");
 Flux<ByteBuffer> buffer =
     toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(license.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeIdentityDocuments(buffer, license.length())
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedIDDocumentResult -> {
         for (int i = 0; i < recognizedIDDocumentResult.size(); i++) {
             RecognizedForm recognizedForm = recognizedIDDocumentResult.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             System.out.printf("----------- Recognized license info for page %d -----------%n", i);

             FormField firstNameField = recognizedFields.get("FirstName");
             if (firstNameField != null) {
                 if (FieldValueType.STRING == firstNameField.getValue().getValueType()) {
                     String firstName = firstNameField.getValue().asString();
                     System.out.printf("First Name: %s, confidence: %.2f%n",
                         firstName, firstNameField.getConfidence());
                 }
             }

             FormField lastNameField = recognizedFields.get("LastName");
             if (lastNameField != null) {
                 if (FieldValueType.STRING == lastNameField.getValue().getValueType()) {
                     String lastName = lastNameField.getValue().asString();
                     System.out.printf("Last name: %s, confidence: %.2f%n",
                         lastName, lastNameField.getConfidence());
                 }
             }

             FormField countryRegionFormField = recognizedFields.get("CountryRegion");
             if (countryRegionFormField != null) {
                 if (FieldValueType.STRING == countryRegionFormField.getValue().getValueType()) {
                     String countryRegion = countryRegionFormField.getValue().asCountryRegion();
                     System.out.printf("Country or region: %s, confidence: %.2f%n",
                         countryRegion, countryRegionFormField.getConfidence());
                 }
             }

             FormField dateOfExpirationField = recognizedFields.get("DateOfExpiration");
             if (dateOfExpirationField != null) {
                 if (FieldValueType.DATE == dateOfExpirationField.getValue().getValueType()) {
                     LocalDate expirationDate = dateOfExpirationField.getValue().asDate();
                     System.out.printf("Document date of expiration: %s, confidence: %.2f%n",
                         expirationDate, dateOfExpirationField.getConfidence());
                 }
             }

             FormField documentNumberField = recognizedFields.get("DocumentNumber");
             if (documentNumberField != null) {
                 if (FieldValueType.STRING == documentNumberField.getValue().getValueType()) {
                     String documentNumber = documentNumberField.getValue().asString();
                     System.out.printf("Document number: %s, confidence: %.2f%n",
                         documentNumber, documentNumberField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      identityDocument - The data of the document to recognize identity document information from.
      length - The exact length of the data.
      Returns:
      A PollerFlux that polls the recognize identity document operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If identityDocument is null.

    • beginRecognizeIdentityDocuments

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocuments(Flux<ByteBuffer> identityDocument, long length, RecognizeIdentityDocumentOptions recognizeIdentityDocumentOptions)
      Analyze identity documents using optical character recognition (OCR) and a prebuilt model trained on identity documents model to extract key information from passports and US driver licenses. See here for fields found on an identity document.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Note that the identityDocument passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File licenseDocument = new File("local/file_path/license.jpg");
 boolean includeFieldElements = true;
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer =
     toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(licenseDocument.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeIdentityDocuments(buffer,
     licenseDocument.length(),
     new RecognizeIdentityDocumentOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setFieldElementsIncluded(includeFieldElements))
     .setPollInterval(Duration.ofSeconds(5))
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedIDDocumentResult -> {
         for (int i = 0; i < recognizedIDDocumentResult.size(); i++) {
             RecognizedForm recognizedForm = recognizedIDDocumentResult.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             System.out.printf("----------- Recognized license info for page %d -----------%n", i);

             FormField firstNameField = recognizedFields.get("FirstName");
             if (firstNameField != null) {
                 if (FieldValueType.STRING == firstNameField.getValue().getValueType()) {
                     String firstName = firstNameField.getValue().asString();
                     System.out.printf("First Name: %s, confidence: %.2f%n",
                         firstName, firstNameField.getConfidence());
                 }
             }

             FormField lastNameField = recognizedFields.get("LastName");
             if (lastNameField != null) {
                 if (FieldValueType.STRING == lastNameField.getValue().getValueType()) {
                     String lastName = lastNameField.getValue().asString();
                     System.out.printf("Last name: %s, confidence: %.2f%n",
                         lastName, lastNameField.getConfidence());
                 }
             }

             FormField countryRegionFormField = recognizedFields.get("CountryRegion");
             if (countryRegionFormField != null) {
                 if (FieldValueType.STRING == countryRegionFormField.getValue().getValueType()) {
                     String countryRegion = countryRegionFormField.getValue().asCountryRegion();
                     System.out.printf("Country or region: %s, confidence: %.2f%n",
                         countryRegion, countryRegionFormField.getConfidence());
                 }
             }

             FormField dateOfExpirationField = recognizedFields.get("DateOfExpiration");
             if (dateOfExpirationField != null) {
                 if (FieldValueType.DATE == dateOfExpirationField.getValue().getValueType()) {
                     LocalDate expirationDate = dateOfExpirationField.getValue().asDate();
                     System.out.printf("Document date of expiration: %s, confidence: %.2f%n",
                         expirationDate, dateOfExpirationField.getConfidence());
                 }
             }

             FormField documentNumberField = recognizedFields.get("DocumentNumber");
             if (documentNumberField != null) {
                 if (FieldValueType.STRING == documentNumberField.getValue().getValueType()) {
                     String documentNumber = documentNumberField.getValue().asString();
                     System.out.printf("Document number: %s, confidence: %.2f%n",
                         documentNumber, documentNumberField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      identityDocument - The data of the document to recognize identity document information from.
      length - The exact length of the data.
      recognizeIdentityDocumentOptions - The additional configurable options that may be passed when analyzing an identity document.
      Returns:
      A PollerFlux that polls the recognize identity document operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If identityDocument is null.

    • beginRecognizeInvoicesFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoicesFromUrl(String invoiceUrl)
      Recognizes invoice data using optical character recognition (OCR) and a prebuilt invoice trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a invoice.

      Code sample

       String invoiceUrl = "invoice_url";
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeInvoicesFromUrl(invoiceUrl)
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedInvoices -> {
         for (int i = 0; i < recognizedInvoices.size(); i++) {
             RecognizedForm recognizedForm = recognizedInvoices.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             FormField customAddrFormField = recognizedFields.get("CustomerAddress");
             if (customAddrFormField != null) {
                 if (FieldValueType.STRING == customAddrFormField.getValue().getValueType()) {
                     System.out.printf("Customer Address: %s%n", customAddrFormField.getValue().asString());
                 }
             }
             FormField invoiceDateFormField = recognizedFields.get("InvoiceDate");
             if (invoiceDateFormField != null) {
                 if (FieldValueType.DATE == invoiceDateFormField.getValue().getValueType()) {
                     LocalDate invoiceDate = invoiceDateFormField.getValue().asDate();
                     System.out.printf("Invoice Date: %s, confidence: %.2f%n",
                         invoiceDate, invoiceDateFormField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      invoiceUrl - The URL of the invoice to analyze.
      Returns:
      A PollerFlux that polls the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If invoiceUrl is null.

    • beginRecognizeInvoicesFromUrl

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoicesFromUrl(String invoiceUrl, RecognizeInvoicesOptions recognizeInvoicesOptions)
      Recognizes invoice data using optical character recognition (OCR) and a prebuilt invoice trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      Code sample

       String invoiceUrl = "invoice_url";
 boolean includeFieldElements = true;
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeInvoicesFromUrl(invoiceUrl,
     new RecognizeInvoicesOptions()
         .setFieldElementsIncluded(includeFieldElements))
     .setPollInterval(Duration.ofSeconds(5))
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedInvoices -> {
         for (int i = 0; i < recognizedInvoices.size(); i++) {
             RecognizedForm recognizedForm = recognizedInvoices.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             FormField customAddrFormField = recognizedFields.get("CustomerAddress");
             if (customAddrFormField != null) {
                 if (FieldValueType.STRING == customAddrFormField.getValue().getValueType()) {
                     System.out.printf("Customer Address: %s%n", customAddrFormField.getValue().asString());
                 }
             }
             FormField invoiceDateFormField = recognizedFields.get("InvoiceDate");
             if (invoiceDateFormField != null) {
                 if (FieldValueType.DATE == invoiceDateFormField.getValue().getValueType()) {
                     LocalDate invoiceDate = invoiceDateFormField.getValue().asDate();
                     System.out.printf("Invoice Date: %s, confidence: %.2f%n",
                         invoiceDate, invoiceDateFormField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      invoiceUrl - The source URL to the input invoice.
      recognizeInvoicesOptions - The additional configurable options that may be passed when analyzing a invoice.
      Returns:
      A PollerFlux that polls the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If invoiceUrl is null.

    • beginRecognizeInvoices

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoices(Flux<ByteBuffer> invoice, long length)
      Recognizes invoice data using optical character recognition (OCR) and a prebuilt invoice trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a invoice. Note that the invoice passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File invoice = new File("local/file_path/invoice.jpg");
 Flux<ByteBuffer> buffer =
     toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(invoice.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeInvoices(buffer, invoice.length())
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedInvoices -> {
         for (int i = 0; i < recognizedInvoices.size(); i++) {
             RecognizedForm recognizedForm = recognizedInvoices.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             FormField customAddrFormField = recognizedFields.get("CustomerAddress");
             if (customAddrFormField != null) {
                 if (FieldValueType.STRING == customAddrFormField.getValue().getValueType()) {
                     System.out.printf("Customer Address: %s%n", customAddrFormField.getValue().asString());
                 }
             }
             FormField invoiceDateFormField = recognizedFields.get("InvoiceDate");
             if (invoiceDateFormField != null) {
                 if (FieldValueType.DATE == invoiceDateFormField.getValue().getValueType()) {
                     LocalDate invoiceDate = invoiceDateFormField.getValue().asDate();
                     System.out.printf("Invoice Date: %s, confidence: %.2f%n",
                         invoiceDate, invoiceDateFormField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      invoice - The data of the document to recognize invoice information from.
      length - The exact length of the data.
      Returns:
      A PollerFlux that polls the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If invoice is null.

    • beginRecognizeInvoices

      public com.azure.core.util.polling.PollerFlux<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoices(Flux<ByteBuffer> invoice, long length, RecognizeInvoicesOptions recognizeInvoicesOptions)
      Recognizes invoice data from documents using optical character recognition (OCR) and a prebuilt invoice trained model.

      The service does not support cancellation of the long running operation and returns with an error message indicating absence of cancellation support.

      See here for fields found on a invoice. Note that the invoice passed must be replayable if retries are enabled (the default). In other words, the Flux must produce the same data each time it is subscribed to.

      Code sample

       File invoice = new File("local/file_path/invoice.jpg");
 boolean includeFieldElements = true;
 // Utility method to convert input stream to Byte buffer
 Flux<ByteBuffer> buffer =
     toFluxByteBuffer(new ByteArrayInputStream(Files.readAllBytes(invoice.toPath())));
 // if training polling operation completed, retrieve the final result.
 formRecognizerAsyncClient.beginRecognizeInvoices(buffer,
     invoice.length(),
     new RecognizeInvoicesOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setFieldElementsIncluded(includeFieldElements))
     .setPollInterval(Duration.ofSeconds(5))
     .flatMap(AsyncPollResponse::getFinalResult)
     .subscribe(recognizedInvoices -> {
         for (int i = 0; i < recognizedInvoices.size(); i++) {
             RecognizedForm recognizedForm = recognizedInvoices.get(i);
             Map<String, FormField> recognizedFields = recognizedForm.getFields();
             FormField customAddrFormField = recognizedFields.get("CustomerAddress");
             if (customAddrFormField != null) {
                 if (FieldValueType.STRING == customAddrFormField.getValue().getValueType()) {
                     System.out.printf("Customer Address: %s%n", customAddrFormField.getValue().asString());
                 }
             }
             FormField invoiceDateFormField = recognizedFields.get("InvoiceDate");
             if (invoiceDateFormField != null) {
                 if (FieldValueType.DATE == invoiceDateFormField.getValue().getValueType()) {
                     LocalDate invoiceDate = invoiceDateFormField.getValue().asDate();
                     System.out.printf("Invoice Date: %s, confidence: %.2f%n",
                         invoiceDate, invoiceDateFormField.getConfidence());
                 }
             }
         }
     });
      Parameters:
      invoice - The data of the document to recognize invoice information from.
      length - The exact length of the data.
      recognizeInvoicesOptions - The additional configurable options that may be passed when analyzing a invoice.
      Returns:
      A PollerFlux that polls the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.
      Throws:
      FormRecognizerException - If recognize operation fails and the AnalyzeOperationResult returned with an OperationStatus.FAILED.
      NullPointerException - If invoice is null.