Java API to Render EMLX to JPEG
Export EMLX to JPEG by using on premise Java API without using any third party dependencies
Aspose.Total for Java
Overview
How to Render EMLX to JPEG Using Java
Email conversion is a powerful feature that Java developers can integrate within any Java J2SE, J2EE, J2ME applications via Aspose.Total for Java . By using two APIs within the package you can convert Email EMLX to JPEG without any third party dependencies. Firstly, you can use Email Manipulation API Aspose.Email for Java to convert EMLX file format to HTML. Secondly, you can render HTML to JPEG by using Document Processing API Aspose.Words for Java .EMLX to JPEG Conversion on Java
- Open EMLX file using MailMessage class
- Convert EMLX to HTML by using save method
- Load HTML by using Document class
- Save the document to JPEG format using save method and set JPEG as SaveFormat
Get Started with Java File Format APIs
You can easily use Aspose.Total for Java directly from a Maven based project and include Aspose.Words for Java and Aspose.Email for Java in your pom.xml.
Alternatively, you can get a ZIP file from downloads .
Java Code for EMLX to JPEG Rendering
MailMessage message = MailMessage.load("sourceFile.emlx");
// save EMLX as a HTML
message.save("HtmlOutput.html", SaveOptions.getDefaultHtml());
// load HTML with an instance of Document
Document document = new Document("HtmlOutput.html");
// call save method while passing SaveFormat.JPEG
document.save("output.jpeg", SaveFormat.JPEG);
EMLX What is EMLX File Format?
The EMLX file format is implemented and developed by Apple. The Apple Mail application uses the EMLX file format for exporting the emails. There are other applications as well that can open the EMLX files and convert these to other file formats.
Read MoreJPEG What is JPEG File Format?
A JPEG is a type of image format that is saved using the method of lossy compression. The output image, as result of compression, is a trade-off between storage size and image quality. Users can adjust the compression level to achieve the desired quality level while at the same time reduce the storage size. Image quality is negligibly affected if 10:1 compression is applied to the image. The higher the compression value, the higher the degradation in image quality.
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