Email files in .eml format often contain rich content including headers, body text, and attachments. Converting these files into HTML format allows for seamless viewing in browsers, embedding in dashboards, or archiving for compliance. This tutorial shows how to render EML as HTML using Python, using Viewer APIs to generate a standalone HTML file with embedded resources. By learning how to convert EML to HTML in Python, developers can automate email visualization with consistent formatting and layout control.
Steps to Render EML as HTML using Python
- Install GroupDocs.Viewer for Python via .NET using pip to enable EML rendering
- Import the
groupdocs.viewerandgroupdocs.viewer.optionsmodules to access HTML export features - Use the Viewer class inside a
withblock to load the EML file and manage resources automatically - Create
HtmlViewOptionsusingfor_embedded_resourcesto bundle output into a single HTML file - Specify the output filename for the generated HTML document
- Call
viewer.view(viewOptions)to convert the EML content into HTML format
This method ensures that email content is rendered into a browser-compatible format with all styles, images, and assets seamlessly embedded for accurate visualization. The Python code to render EML as HTML is concise and ideal for generating previews, archiving messages, or integrating email content into web-based systems. Whether you’re building a mail viewer, compliance dashboard, or documentation tool, this approach simplifies the process of exporting EML as HTML Python content, providing flexibility, consistency, and a professional presentation across platforms.
Code to Render EML as HTML using Python
Exporting EML files to HTML format is a practical solution for developers and analysts who need to visualize email content outside traditional mail clients. The ability to export EML as HTML Python documents with embedded resources makes this technique valuable for reporting, auditing, and content publishing workflows. This concludes the tutorial on rendering EML files to HTML using Python—ready to be integrated into your next email processing pipeline.
We previously published a topic on add watermark to image using Python, which demonstrates how to overlay text watermark onto pictures programmatically. It complements this Add Watermark to Image using Python guide by showing how to protect image content, preserve visual quality, and embed branding across various formats.