Word Document Parser – Extract Images from Word File Online in Java

Document parsing is a crucial task in many industries where data extraction from various document formats is required. When working with Word documents, extracting images can be particularly useful in cases such as content analysis, image recognition, or data visualization. Extracting images manually from large Word documents can be time-consuming. Therefore, automating the image extraction process can save you time and effort. In this article, we will demonstrate how to extract images from Word documents programmatically in Java.

The following topics shall be covered in this article:

Java REST API to Extract Images from Word Documents and SDK Installation

GroupDocs.Parser Cloud SDK for Java is a powerful Java library that provides a simple and efficient way to parse and extract data from various document formats, including Word documents. It offers a wide range of features for document parsing, allowing developers to extract images, text, metadata, and more. GroupDocs.Parser also provides C#.NET, Java, PHP, Ruby, and Python SDKs as its document parser family members for the Cloud APIs.

To get started, you need to include the GroupDocs.Parser Cloud SDK in your Java project. You can either download the API’s JAR file or install it using Maven by adding the following repository and dependency into your project’s pom.xml file:

Maven Repository:

<repository>
    <id>groupdocs-artifact-repository</id>
    <name>GroupDocs Artifact Repository</name>
    <url>https://repository.groupdocs.cloud/repo</url>
</repository>

Maven Dependency:

<dependency>
    <groupId>com.groupdocs</groupId>
    <artifactId>groupdocs-parser-cloud</artifactId>
    <version>23.3</version>
    <scope>compile</scope>
</dependency>

Next, you need to sign up for a free trial account or purchase a subscription plan on the GroupDocs website and get your API key. Once you have the Client Id and Client Secret, add below code snippet to a Java-based application:

How to Extract All Images from Word Documents in Java using REST API

To extract images from Word documents in Java using GroupDocs.Parser Cloud SDK, follow these steps and an example code snippet:

  • Firstly, import the required classes into your Java file.
  • Secondly, create an instance of the ParseApi class.
  • Thirdly, create an instance of the FileInfo class.
  • Next, set the path to the input Word document.
  • Then, create an instance of the ImagesOptions() class.
  • Next, assign fileInfo to the setFileInfo image option.
  • Now, create an instance of the ImagesRequest() class and pass the ImagesOptions parameter.
  • Lastly, get results by calling the ParseApi.images() method and passing the ImagesRequest parameter.

The following code sample shows how to extract all images from a Word document online in Java using REST API:

Extract Specific Images from Word File in Java using Page Number

In this section, we will write steps and an example code snippet for extracting specific images from a Word document programmatically in Java:

  • Firstly, import the required classes into your Java file.
  • Secondly, create an instance of the ParseApi class.
  • Thirdly, create an instance of the FileInfo class.
  • Next, set the path to the Word file as input.
  • Then, create an instance of the ImagesOptions() class.
  • Next, assign fileInfo to the setFileInfo image option.
  • Then, provide setStartPageNumber and setCountPagesToExtract values.
  • Now, create an instance of the ImagesRequest() class and pass the ImagesOptions parameter.
  • Finally, get results by calling the ParseApi.images() method and passing the ImagesRequest parameter.

The following code sample shows how to extract specific images from a Word file by page range in Java using REST API:

Free Online Image Extractor

What is the best way to extract images from Word online for free? Please try an online Word document parser to extract images from Word. This Word Parser tool is developed using the above-mentioned Java parser library.

Conclusion

In conclusion, GroupDocs.Parser Cloud SDK is an excellent solution for extracting images from Word documents, saving time and effort while ensuring accurate results. The following is what you have learned from this article:

  • how to extract all images from Word DOCX programmatically in Java using REST API;
  • how to extract specific images from Word documents in Java using REST API;
  • and online image extraction tool to extract images from Word documents.

Additionally, you can learn more about GroupDocs.Parser Cloud API using the documentation. We also provide an API Reference section that lets you visualize and interact with our APIs directly through the browser. Java SDK’s complete source code is freely available on Github.

Finally, we keep writing new blog articles on different file formats and parsing them using REST API. So, please get in touch for the latest updates.

Ask a question

In case you would have any queries about how to extract images from documents, please feel free to contact us via our forum.

FAQs

How do I parse Word documents in Java?

To extract images or text, you first need to load and parse the Word document using GroupDocs.Parser Cloud SDK. This process involves specifying the file path and calling the Parse method to parse documents.

Can GroupDocs.Parser Cloud SDK extract images from other document formats?

Yes, GroupDocs.Parser Cloud SDK for Java supports the extraction of images from various document formats, including Word, PDF, Excel, PowerPoint, and many more.

Can the GroupDocs.Parser Cloud SDK extract multiple images from a single Word document?

Yes, the SDK can extract multiple images from a single Word document, providing you with all the images contained within the document.

Does the GroupDocs.Parser Cloud SDK preserve the original image quality during the extraction process?

Yes, the GroupDocs.Parser Cloud SDK for Java preserves the original image quality while extracting images from Word documents.

See Also

Here are some related articles that you may find helpful: