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|  How to Integrate Microsoft Azure Cognitive Services Form Recognizer API in Java

How to Integrate Microsoft Azure Cognitive Services Form Recognizer API in Java

October 31, 2024

Learn to integrate Microsoft Azure Cognitive Services Form Recognizer API in Java seamlessly with our step-by-step guide. Enhance data processing efficiency today!

How to Integrate Microsoft Azure Cognitive Services Form Recognizer API in Java

 

Integrate Microsoft Azure Cognitive Services Form Recognizer API in Java

 

  • **Import Required Libraries and Dependencies** You need to include Azure Form Recognizer's client libraries in your project. Utilize Maven for dependency management to simplify the process.

 

<dependency>
    <groupId>com.azure</groupId>
    <artifactId>azure-ai-formrecognizer</artifactId>
    <version>3.1.3</version>
</dependency>

 

  • **Configure Client Authentication** Initialize the `FormRecognizerClient` by setting up the credentials. You will need the `Endpoint URL` and the `API Key` from the Azure portal.
  •  

  • **Code Implementation** Use the client to interact with the Form Recognizer API. Below is a sample Java code to initiate the client and analyze forms.

 

import com.azure.ai.formrecognizer.FormRecognizerClient;
import com.azure.ai.formrecognizer.FormRecognizerClientBuilder;
import com.azure.ai.formrecognizer.models.FormPage;
import com.azure.core.credential.AzureKeyCredential;
import java.util.List;

public class FormRecognizerExample {
    public static void main(String[] args) {
        FormRecognizerClient formRecognizerClient = new FormRecognizerClientBuilder()
            .credential(new AzureKeyCredential("<YOUR_API_KEY>"))
            .endpoint("<YOUR_ENDPOINT>")
            .buildClient();

        String formUrl = "<YOUR_FORM_URL>";
        List<FormPage> recognizedFormPages = formRecognizerClient.beginRecognizeContentFromUrl(formUrl)
            .getFinalResult();

        for (FormPage formPage : recognizedFormPages) {
            System.out.printf("Page %d has width: %f and height: %f, measured with unit: %s.%n",
                formPage.getPageNumber(),
                formPage.getWidth(),
                formPage.getHeight(),
                formPage.getUnit());
        }
    }
}

 

  • **Handle Asynchronous Operations** The Form Recognizer uses async operations. Ensure you handle results correctly. `beginRecognizeContentFromUrl` returns a `PollerFlux` to manage operations.
  •  

  • **Run the Application** Compile and run the Java application to start recognizing forms and extracting content.
  •  

  • **Error Handling and Logging** Ensure to catch exceptions and implement proper error logging for production-level code.

 

// Example of exception handling
try {
    // Your code to call Form Recognizer
} catch (Exception e) {
    System.out.println("An error occurred: " + e.getMessage());
}

 

  • **Optimize and Testing** Test your implementation rigorously and check responses thoroughly, adjusting configurations and client settings as needed to optimize performance.

 

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