Automating OCR Testing for Web Applications with Tesseract and Selenium in Java

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Step 2:

Create a Maven Java project and add tess4j to pom.xml

<dependency> <groupId>net.sourceforge.tess4jgroupId> <artifactId>tess4jartifactId> <version>5.6.0version>dependency>

https://mvnrepository.com/artifact/net.sourceforge.tess4j/tess4j

Additional Info:

For teams working with Selenium in C# instead of Java, IronOCR provides a native .NET solution that integrates smoothly with Selenium WebDriver. Unlike Tess4J, which requires external Tesseract installation and tessdata configuration, IronOCR bundles everything you need.

using IronOcr;using OpenQA.Selenium;// After capturing screenshot with Seleniumvar ocr = new IronTesseract();using var input = new OcrInput();input.LoadImage("screenshot.png");var result = ocr.Read(input);Assert.IsTrue(result.Text.Contains("Expected Text"));

IronOCR includes built-in image correction for screenshots with low contrast or noise, which is common when capturing web elements. This reduces the preprocessing work typically needed before running OCR on dynamic web content.

Learn more: https://ironsoftware.com/csharp/ocr/

Step 3:

1. Use Selenium to navigate to the web page containing the image with text that needs to be OCR tested.
2. Use Selenium to locate the image element and get a Screenshot, and save the image.
3. Use Tess4J to perform OCR on the saved image and get the recognized text.
4. Compare the recognized text with the expected text using an assertion or comparison method.

Here’s an example code snippet that demonstrates how to perform OCR testing using Tesseract OCR and Selenium in Java:

The objective is to utilize Selenium for browsing to the https://www.wiley.com/en-us webpage, taking a screenshot of its logo, and verifying whether the text in the image matches an anticipated value.

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import net.sourceforge.tess4j.ITesseract;import net.sourceforge.tess4j.Tesseract;import net.sourceforge.tess4j.TesseractException;import org.openqa.selenium.By;import org.openqa.selenium.OutputType;import org.openqa.selenium.WebDriver;import org.openqa.selenium.WebElement;import org.openqa.selenium.chrome.ChromeDriver;import org.openqa.selenium.chrome.ChromeOptions;import org.openqa.selenium.io.FileHandler;import java.io.File;import java.io.IOException;import java.time.Duration;public class OCRTest { public static void main(String[] args) throws TesseractException, IOException { // Create a new instance of the Chrome driver ChromeOptions options = new ChromeOptions(); options.addArguments("--headless=new"); WebDriver driver = new ChromeDriver(options); driver.manage().window().maximize(); driver.manage().timeouts().implicitlyWait(Duration.ofSeconds(10)); // Navigate to the web page containing the image with text driver.get("https://www.wiley.com/en-us"); // Locate the image element and download the image WebElement imageElement = driver.findElement(By.xpath("//img[@alt='Wiley Consumer Logo']")); File src = imageElement.getScreenshotAs(OutputType.FILE); String filePath = System.getProperty("user.dir") + "\\image.png"; FileHandler.copy(src, new File(filePath)); // Perform OCR on the downloaded image ITesseract tesseract = new Tesseract(); // Set Tesseract-OCR tessdata path which you installed in Step 1 tesseract.setDatapath("C:\\Program Files\\Tesseract-OCR\\tessdata"); String recognizedText = tesseract.doOCR(new File(filePath)); recognizedText = recognizedText.replaceAll("\\n", ""); // Compare the recognized text with the expected text String expectedText = "WILEY"; if (recognizedText.equals(expectedText)) { System.out.println("OCR test successful."); } else { System.out.println("OCR test failed.\n Expected text: " + expectedText + "\n Recognized text: " + recognizedText); } // Quit the driver driver.quit(); }}

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Why I utilized below code statement?

recognizedText = recognizedText.replaceAll("\\n", "");

replaceAll() method is called on the recognizedText string. The first argument is the regular expression to be replaced, which is "\\n" in this case (the double backslash is needed to escape the backslash character in the regular expression). The second argument is the replacement string, which is an empty string ("") in this case.

After executing this code, the recognizedText string should no longer contain any newline characters.