Transform EPUB to WORDML via Java

On Premise Java API to Render EPUB to WORDML without using any third party application

Converting EPUB to WORDML is a simple two-step process. The first step is to render the EPUB file to DOC using Aspose.PDF for Java. Aspose.PDF for Java is a powerful PDF processing API that is part of the Aspose.Total for Java package. It allows you to easily convert EPUB files to DOC format.

The second step is to convert the DOC file to WORDML using Aspose.Words for Java. Aspose.Words for Java is a powerful document processing API that is also part of the Aspose.Total for Java package. It allows you to quickly and easily convert DOC files to WORDML format.

By using the two APIs from Aspose.Total for Java, you can easily and quickly convert EPUB files to WORDML format. The process is simple and straightforward, and requires no additional software or tools. All you need is the Aspose.Total for Java package, which includes both Aspose.PDF for Java and Aspose.Words for Java. With these two powerful APIs, you can easily and quickly convert EPUB files to WORDML format.

Java API to Convert EPUB to WORDML

Open EPUB file using Document class
Convert EPUB to DOC by using save method
Load DOC file by using Document class of Aspose.Words
Save the document to WORD_ML format using save method and set WORD_ML as SaveFormat

Conversion Requirements

You can easily use Aspose.Total for Java directly from a Maven based project and include Aspose.PDF for Java and Aspose.Words for Java in your pom.xml.

Alternatively, you can get a ZIP file from downloads .

Open Password Protected EPUB Document via Java

While converting EPUB to WORDML, even if your document is password protected, you can still open it using PDF Manipulation API Aspose.PDF for Java . In order to open the encrypted file, you need to create a Document object and open the EPUB using the owner’s password.

Save WORDML Document to a Database via Java

While saving your input document to WORDML file format, you can also save your document to database instead of a file system. You may need to implement storing and retrieving Document objects to and from a database. This would be necessary if you were implementing any type of content management system. In order to save your WORDML to database it is often necessary to serialize the document to obtain a byte array. This can be done using Aspose.Words for Java API. After getting your byte array, you can store it in the database using SQL statement.

public static void StoreToDatabase(Document doc, Connection mConnection) throws Exception {
    // create an output stream which uses byte array to save data
    ByteArrayOutputStream aout = new ByteArrayOutputStream();
    // save the document to byte array
    doc.save(aout, SaveFormat.WORD_ML);
    // get the byte array from output steam
    // the byte array now contains the document
    byte[] buffer = aout.toByteArray();
    // get the filename from the document.
    String fileName = doc.getOriginalFileName();
    String filePath = fileName.replace("\\", "\\\\");
    // create the SQL command.
    String commandString = "INSERT INTO Documents (FileName, FileContent) VALUES('" + filePath + "', '" + buffer + "')";
    Statement statement = mConnection.createStatement();
    statement.executeUpdate(commandString);
}  

Converting **EPUB to WordML (XML-based Word documents)** is essential for generating **structured and machine-readable Word files** from digital publications. WordML ensures seamless integration into XML-driven ecosystems, supports metadata-rich workflows, and enhances interoperability across platforms. By transforming EPUB into WordML, publishers, academics, and enterprises can streamline content archiving, automate document generation, and enable advanced reporting.

Key Use Cases

XML-driven publishing workflows – Simplify publishing pipelines with structured XML Word documents.
Metadata-rich academic reporting – Preserve and integrate publication metadata for research outputs.
Cross-platform interoperability – Ensure content works seamlessly across applications and platforms.
Digital content archiving – Store structured, machine-readable eBooks for long-term use.
Enterprise Word processing – Enable automation, customization, and scalability in document workflows.

Automation Scenarios

EPUB-to-WordML pipelines – Automate conversion of eBooks into XML-based Word files.
Automated XML Word workflow generation – Power digital publishing with workflow-ready WordML.
Metadata-to-WordML publishing – Transform eBook metadata into structured Word formats.
Enterprise-level document automation – Standardize large-scale publishing and reporting operations.