Convert JSON Format to WORDML via Java

On premise Java API to parse JSON to WORDML without using Microsoft^® Word

By using Aspose.Total for Java you can convert JSON to WORDML in your Java applications in two-step process. Firstly, by using Aspose.Cells for Java you can parse JSON to PDF. In the second step, you can convert PDF to WORDML by using Word Processing API Aspose.Words for Java .

Convert JSON Format to WORDML via Java

Create a new Workbook object and read valid JSON data from file
Import JSON file to worksheet using JsonUtility class and Save it as PDF
Load PDF document by using Document class
Save the document to WORDML format using Save method

Conversion Requirements

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

Alternatively, you can get a ZIP file from downloads .

Set Layout & Convert JSON Format to WORDML via Java

Furthermore, the API allows you to set layout options for your JSON while parsing JSON to WORDML using JsonLayoutOptions . It allows you to process Array as a table, ignore nulls, ignore array title, ignore object title, convert string to number or date, set date and number format, and set title style. All of these options allow you to present your data as per your needs. The following code snippet shows you how to set the layout options.

Convert JSON Format to WORDML with Watermark via Java

Using the API, you can also parse JSON to WORDML with watermark. In order to add a watermark to your WORDML document, you can first convert the JSON file to PDF and add a watermark to it. In order to add a watermark, load the newly created PDF file using the Document class, create an instance of TextWatermarkOptions and set its properties, Call Watermark.setText method and pass watermark text & object of TextWatermarkOptions. After adding the watermark, you can save the document to WORDML.

Converting **JSON to WORDML** is essential for producing **WordprocessingML (XML-based Word documents) from structured data**. WORDML enables seamless data exchange, template-driven document creation, and compatibility with XML-based workflows. By transforming JSON into WORDML, organizations can automate document generation, maintain structured content integrity, and support enterprise, government, and academic publishing efficiently.

Key Use Cases

Data exchange between systems – Facilitate interoperable document formats for enterprise applications.
Enterprise document storage – Maintain structured, XML-based Word files for long-term storage.
Template-based generation – Automate the creation of standardized documents from templates.
Government digital archives – Produce compliant, XML-ready Word documents for official records.
Structured academic publishing – Generate research papers and educational content in a structured format.

Automation Scenarios

JSON-to-WordML pipelines – Automate the conversion of structured data into XML-based Word documents.
Automated XML document generation – Streamline bulk document creation while maintaining structure.
JSON-driven document workflows – Populate WordML files directly from structured datasets.
Enterprise-grade structured reporting – Scale automated, structured document generation across departments efficiently.