Convert IPYNB to HTML Online
Turn your Jupyter Notebook (.ipynb) into a clean, standalone HTML webpage in one click.
DRAG .IPYNB HERE TO BEGIN
Why convert IPYNB to HTML?
Images Embedded (Base64)
No broken image links. All plots and images in your notebook are encoded directly into the HTML file as Base64, creating a truly self-contained document.
Pixel-Perfect Rendering
We render your notebook exactly as it appears in Jupyter. Markdown, code highlighting, tables, and images are all preserved with high fidelity.
Zero Dependencies for Viewers
Your audience doesn't need Python, Jupyter, or any environment installed. They just need a web browser to view your full analysis.
Privacy & Speed
Like our other tools, conversion happens 100% in your browser. It's lightning fast and your data never leaves your device.
Data Tables Preserved
Pandas DataFrames and other HTML-rich outputs are fully preserved in the generated file, making it perfect for sharing data reports.
Easy to Publish
The single-file output is ready to be uploaded to GitHub Pages, dropped into a blog post, or emailed as an attachment.
FAQ - IPYNB to HTML
Standard static plots (matplotlib, seaborn) work perfectly. Dynamic widgets that require a live Python kernel will typically appear as static representations or empty states.
Yes! The output is a standard HTML file. You can upload it to your server, embed it in an iframe, or use services like GitHub Pages.
Yes. Images embedded in the notebook are typically encoded as Base64 within the HTML, so you don't need to manage external image files.
We support large notebooks (100MB+). Since processing is local, browser memory is the only limit, which is usually very generous.
Simply double-click the downloaded file. It will open in your default web browser (Chrome, Safari, Edge, Firefox). No internet connection is needed to view it.
Yes. Unlike PDF, the HTML output automatically adjusts to fit any screen size, making it perfect for sharing with people who might view it on mobile phones or tablets.
Since it is a standard HTML file, you can utilize any text editor (like VS Code or Notepad) to modify the text or custom styles, although you cannot re-run the code cells like in Jupyter.