FormRecognizerClient Class

  • java.lang.Object
    • com.azure.ai.formrecognizer.FormRecognizerClient

public final class FormRecognizerClient

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

This client provides synchronous 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(InputStream form, long length) 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.

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 FormRecognizerClient, using the `DefaultAzureCredentialBuilder` to configure it.

FormRecognizerClient formRecognizerClient = new FormRecognizerClientBuilder()
     .endpoint("{endpoint}")
     .credential(new DefaultAzureCredentialBuilder().build())
     .buildClient();

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

FormRecognizerClient formRecognizerClient = new FormRecognizerClientBuilder()
     .credential(new AzureKeyCredential("{key}"))
     .endpoint("{endpoint}")
     .buildClient();

Method Summary

Modifier and Type Method and Description
SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCards(InputStream businessCard, long length)

Recognizes business card data from the provided document data using optical character recognition (OCR) and a prebuilt trained business card model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCards(InputStream businessCard, long length, RecognizeBusinessCardsOptions recognizeBusinessCardsOptions, Context context)

Recognizes business card data from the provided document data using optical character recognition (OCR) and a prebuilt trained business card model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCardsFromUrl(String businessCardUrl)

Recognizes business card data from document using optical character recognition (OCR) and a prebuilt business card trained model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeBusinessCardsFromUrl(String businessCardUrl, RecognizeBusinessCardsOptions recognizeBusinessCardsOptions, Context context)

Recognizes business card data from documents using optical character recognition (OCR) and a prebuilt business card trained model.

SyncPoller<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContent(InputStream form, long length)

Recognizes layout data using optical character recognition (OCR) and a custom trained model.

SyncPoller<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContent(InputStream form, long length, RecognizeContentOptions recognizeContentOptions, Context context)

Recognizes content/layout data from the provided document data using optical character recognition (OCR).

SyncPoller<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContentFromUrl(String formUrl)

Recognizes content/layout data from documents using optical character recognition (OCR).

SyncPoller<FormRecognizerOperationResult,List<FormPage>> beginRecognizeContentFromUrl(String formUrl, RecognizeContentOptions recognizeContentOptions, Context context)

Recognizes content/layout data using optical character recognition (OCR).

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomForms(String modelId, InputStream form, long length)

Recognizes form data from documents using optical character recognition (OCR) and a custom trained model with or without labels.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomForms(String modelId, InputStream form, long length, RecognizeCustomFormsOptions recognizeCustomFormsOptions, Context context)

Recognizes form data from documents using optical character recognition (OCR) and a custom trained model.

SyncPoller<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.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeCustomFormsFromUrl(String modelId, String formUrl, RecognizeCustomFormsOptions recognizeCustomFormsOptions, Context context)

Recognizes form data from documents using optical character recognition (OCR) and a custom trained model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocuments(InputStream 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.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocuments(InputStream identityDocument, long length, RecognizeIdentityDocumentOptions recognizeIdentityDocumentOptions, Context context)

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.

SyncPoller<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.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeIdentityDocumentsFromUrl(String identityDocumentUrl, RecognizeIdentityDocumentOptions recognizeIdentityDocumentOptions, Context context)

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.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoices(InputStream invoice, long length)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained invoice model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoices(InputStream invoice, long length, RecognizeInvoicesOptions recognizeInvoicesOptions, Context context)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained invoice model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoicesFromUrl(String invoiceUrl)

Recognizes invoice data from document using optical character recognition (OCR) and a prebuilt invoice trained model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeInvoicesFromUrl(String invoiceUrl, RecognizeInvoicesOptions recognizeInvoicesOptions, Context context)

Recognizes invoice data from documents using optical character recognition (OCR) and a prebuilt invoice trained model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceipts(InputStream receipt, long length)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained receipt model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceipts(InputStream receipt, long length, RecognizeReceiptsOptions recognizeReceiptsOptions, Context context)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained receipt model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceiptsFromUrl(String receiptUrl)

Recognizes receipt data from document using optical character recognition (OCR) and a prebuilt receipt trained model.

SyncPoller<FormRecognizerOperationResult,List<RecognizedForm>> beginRecognizeReceiptsFromUrl(String receiptUrl, RecognizeReceiptsOptions recognizeReceiptsOptions, Context context)

Recognizes receipt data from documents using optical character recognition (OCR) and a prebuilt receipt trained model.

Methods inherited from java.lang.Object

Method Details

beginRecognizeBusinessCards

public SyncPoller<>> beginRecognizeBusinessCards(InputStream businessCard, long length)

Recognizes business card data from the provided document data using optical character recognition (OCR) and a prebuilt trained business card 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

File businessCard = new File("{local/file_path/fileName.jpg}");
 byte[] fileContent = Files.readAllBytes(businessCard.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {
     formRecognizerClient.beginRecognizeBusinessCards(targetStream, businessCard.length()).getFinalResult()
         .forEach(recognizedBusinessCard -> {
             Map<String, FormField> recognizedFields = recognizedBusinessCard.getFields();
             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 business card to recognize business card information from.
length - The exact length of the data.

Returns:

A SyncPoller<T,U> 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.

beginRecognizeBusinessCards

public SyncPoller<>> beginRecognizeBusinessCards(InputStream businessCard, long length, RecognizeBusinessCardsOptions recognizeBusinessCardsOptions, Context context)

Recognizes business card data from the provided document data using optical character recognition (OCR) and a prebuilt trained business card 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

File businessCard = new File("{local/file_path/fileName.jpg}");
 boolean includeFieldElements = true;
 byte[] fileContent = Files.readAllBytes(businessCard.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {
     for (RecognizedForm recognizedForm : formRecognizerClient.beginRecognizeBusinessCards(targetStream,
         businessCard.length(),
         new RecognizeBusinessCardsOptions()
             .setContentType(FormContentType.IMAGE_JPEG)
             .setFieldElementsIncluded(includeFieldElements),
         Context.NONE).setPollInterval(Duration.ofSeconds(5))
         .getFinalResult()) {
         Map<String, FormField> recognizedFields = recognizedForm.getFields();
         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 business card to recognize business card information from.
length - The exact length of the data.
recognizeBusinessCardsOptions - The additional configurable RecognizeBusinessCardsOptions that may be passed when analyzing a business card.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> 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.

beginRecognizeBusinessCardsFromUrl

public SyncPoller<>> beginRecognizeBusinessCardsFromUrl(String businessCardUrl)

Recognizes business card data from document 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}";
 formRecognizerClient.beginRecognizeBusinessCardsFromUrl(businessCardUrl)
     .getFinalResult()
     .forEach(recognizedBusinessCard -> {
         Map<String, FormField> recognizedFields = recognizedBusinessCard.getFields();
         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.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize business card operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeBusinessCardsFromUrl

public SyncPoller<>> beginRecognizeBusinessCardsFromUrl(String businessCardUrl, RecognizeBusinessCardsOptions recognizeBusinessCardsOptions, Context context)

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.

Code sample

String businessCardUrl = "{business_card_url}";
 formRecognizerClient.beginRecognizeBusinessCardsFromUrl(businessCardUrl,
     new RecognizeBusinessCardsOptions()
         .setFieldElementsIncluded(true), Context.NONE)
     .setPollInterval(Duration.ofSeconds(5)).getFinalResult()
     .forEach(recognizedBusinessCard -> {
         Map<String, FormField> recognizedFields = recognizedBusinessCard.getFields();
         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 RecognizeBusinessCardsOptions that may be passed when analyzing a business card.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize business card operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeContent

public SyncPoller<>> beginRecognizeContent(InputStream form, long length)

Recognizes layout data 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

File form = new File("{local/file_path/fileName.pdf}");
 byte[] fileContent = Files.readAllBytes(form.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {
     formRecognizerClient.beginRecognizeContent(targetStream, form.length())
         .getFinalResult()
         .forEach(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()
                 .stream()
                 .flatMap(formTable -> formTable.getCells().stream())
                 .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 SyncPoller<T,U> that polls the recognize content operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.

beginRecognizeContent

public SyncPoller<>> beginRecognizeContent(InputStream form, long length, RecognizeContentOptions recognizeContentOptions, Context context)

Recognizes content/layout data from the provided document 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

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 RecognizeContentOptions.

Code sample

File form = new File("{file_source_url}");
 byte[] fileContent = Files.readAllBytes(form.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {

     for (FormPage formPage : formRecognizerClient.beginRecognizeContent(targetStream, form.length(),
         new RecognizeContentOptions()
             .setPollInterval(Duration.ofSeconds(5)), Context.NONE)
         .getFinalResult()) {
         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()
             .stream()
             .flatMap(formTable -> formTable.getCells().stream())
             .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 RecognizeContentOptions that may be passed when recognizing content/layout on a form.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> that polls the recognize content operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.

beginRecognizeContentFromUrl

public SyncPoller<>> 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 = "{form_url}";
 formRecognizerClient.beginRecognizeContentFromUrl(formUrl)
     .getFinalResult()
     .forEach(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()
             .stream()
             .flatMap(formTable -> formTable.getCells().stream())
             .forEach(recognizedTableCell -> System.out.printf("%s ", recognizedTableCell.getText()));
     });

Parameters:

formUrl - The URL of the form to analyze.

Returns:

A SyncPoller<T,U> that polls the recognize content form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.

beginRecognizeContentFromUrl

public SyncPoller<>> beginRecognizeContentFromUrl(String formUrl, RecognizeContentOptions recognizeContentOptions, Context context)

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.

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 RecognizeContentOptions.

Code sample

String formPath = "{file_source_url}";
 formRecognizerClient.beginRecognizeContentFromUrl(formPath,
     new RecognizeContentOptions()
         .setPollInterval(Duration.ofSeconds(5)), Context.NONE)
     .getFinalResult()
     .forEach(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()
             .stream()
             .flatMap(formTable -> formTable.getCells().stream())
             .forEach(recognizedTableCell -> System.out.printf("%s ", recognizedTableCell.getText()));
     });

Parameters:

formUrl - The source URL to the input form.
recognizeContentOptions - The additional configurable RecognizeContentOptions that may be passed when recognizing content/layout on a form.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> that polls the recognize layout operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of FormPage.

beginRecognizeCustomForms

public SyncPoller<>> beginRecognizeCustomForms(String modelId, InputStream 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.

Code sample

File form = new File("{local/file_path/fileName.jpg}");
 String modelId = "{custom_trained_model_id}";
 byte[] fileContent = Files.readAllBytes(form.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {

     formRecognizerClient.beginRecognizeCustomForms(modelId, targetStream, form.length())
         .getFinalResult()
         .stream()
         .map(RecognizedForm::getFields)
         .forEach(formFieldMap -> formFieldMap.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 SyncPoller<T,U> 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.

beginRecognizeCustomForms

public SyncPoller<>> beginRecognizeCustomForms(String modelId, InputStream form, long length, RecognizeCustomFormsOptions recognizeCustomFormsOptions, Context context)

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

File form = new File("{local/file_path/fileName.jpg}");
 String modelId = "{custom_trained_model_id}";
 boolean includeFieldElements = true;
 byte[] fileContent = Files.readAllBytes(form.toPath());

 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {
     formRecognizerClient.beginRecognizeCustomForms(modelId, targetStream, form.length(),
         new RecognizeCustomFormsOptions()
             .setContentType(FormContentType.IMAGE_JPEG)
             .setFieldElementsIncluded(includeFieldElements)
             .setPollInterval(Duration.ofSeconds(10)), Context.NONE)
         .getFinalResult()
         .stream()
         .map(RecognizedForm::getFields)
         .forEach(formFieldMap -> formFieldMap.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.
recognizeCustomFormsOptions - The additional configurable RecognizeCustomFormsOptions that may be passed when recognizing custom forms.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> 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.

beginRecognizeCustomFormsFromUrl

public SyncPoller<>> 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}";

 formRecognizerClient.beginRecognizeCustomFormsFromUrl(modelId, formUrl).getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(formFieldMap -> formFieldMap.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 SyncPoller<T,U> to poll the progress of the recognize custom form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeCustomFormsFromUrl

public SyncPoller<>> beginRecognizeCustomFormsFromUrl(String modelId, String formUrl, RecognizeCustomFormsOptions recognizeCustomFormsOptions, Context context)

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 analyzeFilePath = "{file_source_url}";
 String modelId = "{model_id}";
 boolean includeFieldElements = true;

 formRecognizerClient.beginRecognizeCustomFormsFromUrl(modelId, analyzeFilePath,
     new RecognizeCustomFormsOptions()
         .setFieldElementsIncluded(includeFieldElements)
         .setPollInterval(Duration.ofSeconds(10)), Context.NONE)
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(formFieldMap -> formFieldMap.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 RecognizeCustomFormsOptions that may be passed when recognizing custom forms.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize custom form operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeIdentityDocuments

public SyncPoller<>> beginRecognizeIdentityDocuments(InputStream 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

Code sample

File license = new File("local/file_path/license.jpg");
 ByteArrayInputStream inputStream = new ByteArrayInputStream(Files.readAllBytes(license.toPath()));
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeIdentityDocuments(inputStream, license.length())
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 identity document to recognize identity document information from.
length - The exact length of the data.

Returns:

A SyncPoller<T,U> 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.

beginRecognizeIdentityDocuments

public SyncPoller<>> beginRecognizeIdentityDocuments(InputStream identityDocument, long length, RecognizeIdentityDocumentOptions recognizeIdentityDocumentOptions, Context context)

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

File licenseDocument = new File("local/file_path/license.jpg");
 boolean includeFieldElements = true;
 // Utility method to convert input stream to Byte buffer
 ByteArrayInputStream inputStream = new ByteArrayInputStream(Files.readAllBytes(licenseDocument.toPath()));
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeIdentityDocuments(inputStream,
     licenseDocument.length(),
     new RecognizeIdentityDocumentOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setFieldElementsIncluded(includeFieldElements),
     Context.NONE)
     .setPollInterval(Duration.ofSeconds(5))
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 dateOfBirthField = recognizedFields.get("DateOfBirth");
         if (dateOfBirthField != null) {
             if (FieldValueType.DATE == dateOfBirthField.getValue().getValueType()) {
                 LocalDate dateOfBirth = dateOfBirthField.getValue().asDate();
                 System.out.printf("Date of Birth: %s, confidence: %.2f%n",
                     dateOfBirth, dateOfBirthField.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 identity document to recognize information from.
length - The exact length of the data.
recognizeIdentityDocumentOptions - The additional configurable RecognizeIdentityDocumentOptions that may be passed when analyzing an identity document.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> 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.

beginRecognizeIdentityDocumentsFromUrl

public SyncPoller<>> 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 licenseDocumentUrl = "licenseDocumentUrl";
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeIdentityDocumentsFromUrl(licenseDocumentUrl)
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 dateOfBirthField = recognizedFields.get("DateOfBirth");
         if (dateOfBirthField != null) {
             if (FieldValueType.DATE == dateOfBirthField.getValue().getValueType()) {
                 LocalDate dateOfBirth = dateOfBirthField.getValue().asDate();
                 System.out.printf("Date of Birth: %s, confidence: %.2f%n",
                     dateOfBirth, dateOfBirthField.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 SyncPoller<T,U> to poll the progress of the recognize identity document operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeIdentityDocumentsFromUrl

public SyncPoller<>> beginRecognizeIdentityDocumentsFromUrl(String identityDocumentUrl, RecognizeIdentityDocumentOptions recognizeIdentityDocumentOptions, Context context)

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.
 formRecognizerClient.beginRecognizeIdentityDocumentsFromUrl(licenseDocumentUrl,
     new RecognizeIdentityDocumentOptions()
         .setFieldElementsIncluded(includeFieldElements),
     Context.NONE).setPollInterval(Duration.ofSeconds(5))
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 RecognizeIdentityDocumentOptions that may be passed when analyzing an identity document.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize identity document operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeInvoices

public SyncPoller<>> beginRecognizeInvoices(InputStream invoice, long length)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained invoice 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

File invoice = new File("local/file_path/invoice.jpg");
 ByteArrayInputStream inputStream = new ByteArrayInputStream(Files.readAllBytes(invoice.toPath()));
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeInvoices(inputStream, invoice.length())
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 invoice to recognize invoice related information from.
length - The exact length of the data.

Returns:

A SyncPoller<T,U> that polls the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeInvoices

public SyncPoller<>> beginRecognizeInvoices(InputStream invoice, long length, RecognizeInvoicesOptions recognizeInvoicesOptions, Context context)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained invoice 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

File invoice = new File("local/file_path/invoice.jpg");
 boolean includeFieldElements = true;
 // Utility method to convert input stream to Byte buffer
 ByteArrayInputStream inputStream = new ByteArrayInputStream(Files.readAllBytes(invoice.toPath()));
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeInvoices(inputStream,
     invoice.length(),
     new RecognizeInvoicesOptions()
         .setContentType(FormContentType.IMAGE_JPEG)
         .setFieldElementsIncluded(includeFieldElements),
     Context.NONE)
     .setPollInterval(Duration.ofSeconds(5))
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 invoice to recognize invoice related information from.
length - The exact length of the data.
recognizeInvoicesOptions - The additional configurable RecognizeInvoicesOptions that may be passed when analyzing a invoice.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> that polls the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeInvoicesFromUrl

public SyncPoller<>> beginRecognizeInvoicesFromUrl(String invoiceUrl)

Recognizes invoice data from document 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 an invoice.

Code sample

String invoiceUrl = "invoice_url";
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeInvoicesFromUrl(invoiceUrl)
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 document to analyze.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeInvoicesFromUrl

public SyncPoller<>> beginRecognizeInvoicesFromUrl(String invoiceUrl, RecognizeInvoicesOptions recognizeInvoicesOptions, Context context)

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

Code sample

String invoiceUrl = "invoice_url";
 boolean includeFieldElements = true;
 // if training polling operation completed, retrieve the final result.
 formRecognizerClient.beginRecognizeInvoicesFromUrl(invoiceUrl,
     new RecognizeInvoicesOptions()
         .setFieldElementsIncluded(includeFieldElements),
     Context.NONE).setPollInterval(Duration.ofSeconds(5))
     .getFinalResult()
     .stream()
     .map(RecognizedForm::getFields)
     .forEach(recognizedFields -> {
         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 document.
recognizeInvoicesOptions - The additional configurable RecognizeInvoicesOptions that may be passed when analyzing an invoice.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize invoice operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeReceipts

public SyncPoller<>> beginRecognizeReceipts(InputStream receipt, long length)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained receipt 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

File receipt = new File("{receipt_url}");
 byte[] fileContent = Files.readAllBytes(receipt.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {

     formRecognizerClient.beginRecognizeReceipts(targetStream, receipt.length()).getFinalResult()
         .forEach(recognizedReceipt -> {
             Map<String, FormField> recognizedFields = recognizedReceipt.getFields();
             FormField merchantNameField = recognizedFields.get("MerchantName");
             if (merchantNameField != null) {
                 if (FieldValueType.STRING == merchantNameField.getValue().getValueType()) {
                     String merchantName = merchantNameField.getValue().asString();
                     System.out.printf("Merchant Name: %s, confidence: %.2f%n",
                         merchantName, merchantNameField.getConfidence());
                 }
             }

             FormField merchantPhoneNumberField = recognizedFields.get("MerchantPhoneNumber");
             if (merchantPhoneNumberField != null) {
                 if (FieldValueType.PHONE_NUMBER == merchantPhoneNumberField.getValue().getValueType()) {
                     String merchantAddress = merchantPhoneNumberField.getValue().asPhoneNumber();
                     System.out.printf("Merchant Phone number: %s, confidence: %.2f%n",
                         merchantAddress, merchantPhoneNumberField.getConfidence());
                 }
             }

             FormField transactionDateField = recognizedFields.get("TransactionDate");
             if (transactionDateField != null) {
                 if (FieldValueType.DATE == transactionDateField.getValue().getValueType()) {
                     LocalDate transactionDate = transactionDateField.getValue().asDate();
                     System.out.printf("Transaction Date: %s, confidence: %.2f%n",
                         transactionDate, transactionDateField.getConfidence());
                 }
             }

             FormField receiptItemsField = recognizedFields.get("Items");
             if (receiptItemsField != null) {
                 System.out.printf("Receipt Items: %n");
                 if (FieldValueType.LIST == receiptItemsField.getValue().getValueType()) {
                     List<FormField> receiptItems = receiptItemsField.getValue().asList();
                     receiptItems.stream()
                         .filter(receiptItem -> FieldValueType.MAP == receiptItem.getValue().getValueType())
                         .map(formField -> formField.getValue().asMap())
                         .forEach(formFieldMap -> formFieldMap.forEach((key, formField) -> {
                             if ("Quantity".equals(key)) {
                                 if (FieldValueType.FLOAT == formField.getValue().getValueType()) {
                                     Float quantity = formField.getValue().asFloat();
                                     System.out.printf("Quantity: %f, confidence: %.2f%n",
                                         quantity, formField.getConfidence());
                                 }
                             }
                         }));
                 }
             }
         });
 }

Parameters:

receipt - The data of the receipt to recognize receipt information from.
length - The exact length of the data.

Returns:

A SyncPoller<T,U> that polls the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeReceipts

public SyncPoller<>> beginRecognizeReceipts(InputStream receipt, long length, RecognizeReceiptsOptions recognizeReceiptsOptions, Context context)

Recognizes data from the provided document data using optical character recognition (OCR) and a prebuilt trained receipt 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

File receipt = new File("{local/file_path/fileName.jpg}");
 boolean includeFieldElements = true;
 byte[] fileContent = Files.readAllBytes(receipt.toPath());
 try (InputStream targetStream = new ByteArrayInputStream(fileContent)) {
     for (RecognizedForm recognizedForm : formRecognizerClient
         .beginRecognizeReceipts(targetStream, receipt.length(),
             new RecognizeReceiptsOptions()
                 .setContentType(FormContentType.IMAGE_JPEG)
                 .setFieldElementsIncluded(includeFieldElements)
                 .setLocale(FormRecognizerLocale.EN_US)
                 .setPollInterval(Duration.ofSeconds(5)), Context.NONE)
         .getFinalResult()) {
         Map<String, FormField> recognizedFields = recognizedForm.getFields();
         FormField merchantNameField = recognizedFields.get("MerchantName");
         if (merchantNameField != null) {
             if (FieldValueType.STRING == merchantNameField.getValue().getValueType()) {
                 String merchantName = merchantNameField.getValue().asString();
                 System.out.printf("Merchant Name: %s, confidence: %.2f%n",
                     merchantName, merchantNameField.getConfidence());
             }
         }
         FormField merchantPhoneNumberField = recognizedFields.get("MerchantPhoneNumber");
         if (merchantPhoneNumberField != null) {
             if (FieldValueType.PHONE_NUMBER == merchantPhoneNumberField.getValue().getValueType()) {
                 String merchantAddress = merchantPhoneNumberField.getValue().asPhoneNumber();
                 System.out.printf("Merchant Phone number: %s, confidence: %.2f%n",
                     merchantAddress, merchantPhoneNumberField.getConfidence());
             }
         }
         FormField transactionDateField = recognizedFields.get("TransactionDate");
         if (transactionDateField != null) {
             if (FieldValueType.DATE == transactionDateField.getValue().getValueType()) {
                 LocalDate transactionDate = transactionDateField.getValue().asDate();
                 System.out.printf("Transaction Date: %s, confidence: %.2f%n",
                     transactionDate, transactionDateField.getConfidence());
             }
         }
         FormField receiptItemsField = recognizedFields.get("Items");
         if (receiptItemsField != null) {
             System.out.printf("Receipt Items: %n");
             if (FieldValueType.LIST == receiptItemsField.getValue().getValueType()) {
                 List<FormField> receiptItems = receiptItemsField.getValue().asList();
                 receiptItems.stream()
                     .filter(receiptItem -> FieldValueType.MAP == receiptItem.getValue().getValueType())
                     .map(formField -> formField.getValue().asMap())
                     .forEach(formFieldMap -> formFieldMap.forEach((key, formField) -> {
                         if ("Quantity".equals(key)) {
                             if (FieldValueType.FLOAT == formField.getValue().getValueType()) {
                                 Float quantity = formField.getValue().asFloat();
                                 System.out.printf("Quantity: %f, confidence: %.2f%n",
                                     quantity, formField.getConfidence());
                             }
                         }
                     }));
             }
         }
     }
 }

Parameters:

receipt - The data of the receipt to recognize receipt information from.
length - The exact length of the data.
recognizeReceiptsOptions - The additional configurable RecognizeReceiptsOptions that may be passed when analyzing a receipt.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> that polls the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeReceiptsFromUrl

public SyncPoller<>> beginRecognizeReceiptsFromUrl(String receiptUrl)

Recognizes receipt data from document 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 receiptUrl = "{file_source_url}";
 formRecognizerClient.beginRecognizeReceiptsFromUrl(receiptUrl)
     .getFinalResult()
     .forEach(recognizedReceipt -> {
         Map<String, FormField> recognizedFields = recognizedReceipt.getFields();
         FormField merchantNameField = recognizedFields.get("MerchantName");
         if (merchantNameField != null) {
             if (FieldValueType.STRING == merchantNameField.getValue().getValueType()) {
                 String merchantName = merchantNameField.getValue().asString();
                 System.out.printf("Merchant Name: %s, confidence: %.2f%n",
                     merchantName, merchantNameField.getConfidence());
             }
         }

         FormField merchantPhoneNumberField = recognizedFields.get("MerchantPhoneNumber");
         if (merchantPhoneNumberField != null) {
             if (FieldValueType.PHONE_NUMBER == merchantPhoneNumberField.getValue().getValueType()) {
                 String merchantAddress = merchantPhoneNumberField.getValue().asPhoneNumber();
                 System.out.printf("Merchant Phone number: %s, confidence: %.2f%n",
                     merchantAddress, merchantPhoneNumberField.getConfidence());
             }
         }

         FormField transactionDateField = recognizedFields.get("TransactionDate");
         if (transactionDateField != null) {
             if (FieldValueType.DATE == transactionDateField.getValue().getValueType()) {
                 LocalDate transactionDate = transactionDateField.getValue().asDate();
                 System.out.printf("Transaction Date: %s, confidence: %.2f%n",
                     transactionDate, transactionDateField.getConfidence());
             }
         }

         FormField receiptItemsField = recognizedFields.get("Items");
         if (receiptItemsField != null) {
             System.out.printf("Receipt Items: %n");
             if (FieldValueType.LIST == receiptItemsField.getValue().getValueType()) {
                 List<FormField> receiptItems = receiptItemsField.getValue().asList();
                 receiptItems.stream()
                     .filter(receiptItem -> FieldValueType.MAP == receiptItem.getValue().getValueType())
                     .map(formField -> formField.getValue().asMap())
                     .forEach(formFieldMap -> formFieldMap.forEach((key, formField) -> {
                         if ("Quantity".equals(key)) {
                             if (FieldValueType.FLOAT == formField.getValue().getValueType()) {
                                 Float quantity = formField.getValue().asFloat();
                                 System.out.printf("Quantity: %f, confidence: %.2f%n",
                                     quantity, formField.getConfidence());
                             }
                         }
                     }));
             }
         }
     });

Parameters:

receiptUrl - The URL of the receipt to analyze.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

beginRecognizeReceiptsFromUrl

public SyncPoller<>> beginRecognizeReceiptsFromUrl(String receiptUrl, RecognizeReceiptsOptions recognizeReceiptsOptions, Context context)

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

Code sample

String receiptUrl = "{receipt_url}";
 formRecognizerClient.beginRecognizeReceiptsFromUrl(receiptUrl,
     new RecognizeReceiptsOptions()
         .setLocale(FormRecognizerLocale.EN_US)
         .setPollInterval(Duration.ofSeconds(5))
         .setFieldElementsIncluded(true), Context.NONE)
     .getFinalResult()
     .forEach(recognizedReceipt -> {
         Map<String, FormField> recognizedFields = recognizedReceipt.getFields();
         FormField merchantNameField = recognizedFields.get("MerchantName");
         if (merchantNameField != null) {
             if (FieldValueType.STRING == merchantNameField.getValue().getValueType()) {
                 String merchantName = merchantNameField.getValue().asString();
                 System.out.printf("Merchant Name: %s, confidence: %.2f%n",
                     merchantName, merchantNameField.getConfidence());
             }
         }

         FormField merchantPhoneNumberField = recognizedFields.get("MerchantPhoneNumber");
         if (merchantPhoneNumberField != null) {
             if (FieldValueType.PHONE_NUMBER == merchantPhoneNumberField.getValue().getValueType()) {
                 String merchantAddress = merchantPhoneNumberField.getValue().asPhoneNumber();
                 System.out.printf("Merchant Phone number: %s, confidence: %.2f%n",
                     merchantAddress, merchantPhoneNumberField.getConfidence());
             }
         }

         FormField transactionDateField = recognizedFields.get("TransactionDate");
         if (transactionDateField != null) {
             if (FieldValueType.DATE == transactionDateField.getValue().getValueType()) {
                 LocalDate transactionDate = transactionDateField.getValue().asDate();
                 System.out.printf("Transaction Date: %s, confidence: %.2f%n",
                     transactionDate, transactionDateField.getConfidence());
             }
         }

         FormField receiptItemsField = recognizedFields.get("Items");
         if (receiptItemsField != null) {
             System.out.printf("Receipt Items: %n");
             if (FieldValueType.LIST == receiptItemsField.getValue().getValueType()) {
                 List<FormField> receiptItems = receiptItemsField.getValue().asList();
                 receiptItems.stream()
                     .filter(receiptItem -> FieldValueType.MAP == receiptItem.getValue().getValueType())
                     .map(formField -> formField.getValue().asMap())
                     .forEach(formFieldMap -> formFieldMap.forEach((key, formField) -> {
                         if ("Quantity".equals(key)) {
                             if (FieldValueType.FLOAT == formField.getValue().getValueType()) {
                                 Float quantity = formField.getValue().asFloat();
                                 System.out.printf("Quantity: %f, confidence: %.2f%n",
                                     quantity, formField.getConfidence());
                             }
                         }
                     }));
             }
         }
     });

Parameters:

receiptUrl - The source URL to the input receipt.
recognizeReceiptsOptions - The additional configurable RecognizeReceiptsOptions that may be passed when analyzing a receipt.
context - Additional context that is passed through the HTTP pipeline during the service call.

Returns:

A SyncPoller<T,U> to poll the progress of the recognize receipt operation until it has completed, has failed, or has been cancelled. The completed operation returns a list of RecognizedForm.

Applies to