Using Aspose.Total for Java , you can convert JSON format to PSD within any Java application in two simple steps. Firstly, by using Aspose.Cells for Java , you can parse JSON to JPEG. After that, by using Aspose.Imaging for Java , you can convert JPEG to PSD.
Set Layout and Convert JSON Format to PSD via Java
Furthermore, the API allows you to parse JSON to PSD with specified layout options. In order to specify the layout options, you can use JsonLayoutOptions class. It allows you to process an 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 PSD with Watermark via Java
Using the API, you can also convert JSON to PSD with watermark in your PSD document. In order to add a watermark to you can first convert JSON to JPEG and add a watermark in it. In order to add watermark, load an image file using the Image class, create an object of the Graphics class and initialize it with Image object, create a new Matrix object and set translation and transformation to the desired angle and add watermark using Graphics.drawString method. After adding the watermark in your image, you can save the JPEG as PSD format.
Key Use Cases
- Dynamic graphic design – Generate layered design files that adapt to changing datasets.
- Automated marketing creatives – Produce banners, social media visuals, and campaign graphics automatically.
- Personalized image templates – Create customized templates for client-specific content.
- Web and app mockups – Build interactive mockups for websites and mobile applications.
- Print-ready artwork – Prepare high-quality PSD files for professional printing.
Automation Scenarios
- JSON-to-PSD pipelines – Automate the conversion of structured data into layered Photoshop files.
- Automated Photoshop layer creation – Generate editable layers programmatically for efficiency.
- Data-driven design workflows – Integrate datasets directly into creative processes.
- JSON-powered creative automation – Scale design production across marketing, web, and print projects.