Convert IPYNB to PDF in Your Browser
Convert Jupyter Notebook (.ipynb) files to PDF with syntax highlighting, charts, and math intact. No LaTeX installation, no upload: your notebook never leaves your device.
Drag and drop, paste, or Tap to select a fileclick to select a file
Files are processed on your device only.
How it works
- Drop or select your .ipynb file. It is parsed on your device only.
- Choose page size, font size, and a light or dark code theme.
- Click Print or Save as PDF, then pick your printer or PDF target.
Why nbconvert fails (and why you don't need LaTeX here)
The classic path, nbconvert to PDF, shells out to a full LaTeX install and breaks with errors like "nbconvert failed: xelatex not found" when texlive is missing or incomplete. That toolchain is heavy, platform specific, and hard to debug.
This converter skips LaTeX entirely. It parses the notebook JSON and renders each cell to HTML, then uses the browser print engine to produce the PDF, the same approach behind the Markdown to PDF converter. See how browser-side rendering works for the full pipeline.
How code cells, outputs, and matplotlib charts are rendered
Code cells are highlighted with the same TextMate grammars VS Code uses, in the notebook's own kernel language. Markdown cells run through the full GitHub Flavored Markdown pipeline with KaTeX math, so equations and tables in prose render properly.
Outputs are handled by type: base64 PNG and JPEG charts embed as images, SVG figures stay vector sharp, pandas HTML tables are sanitized and shown in a sandboxed frame, and stream and traceback text keeps its ANSI colors. If you only need the scenario walkthrough, the Jupyter Notebook to PDF page covers coursework and reports.
Frequently asked questions
- Does it run my notebook, and how large a file can it handle?
- It renders the outputs already saved in the .ipynb; it does not run code or start a kernel, so unexecuted cells show their code but no results. Parsing runs in a Web Worker, but very large notebooks with many base64 images use more memory, and phones run a single worker.
- Do I need LaTeX installed to convert an .ipynb file?
- No. Unlike nbconvert, this tool does not use a LaTeX toolchain at all. The notebook is rendered with a browser print engine, so there is nothing to install and no xelatex or texlive dependency to fail.
- Are matplotlib charts and pandas tables preserved?
- Yes, when they were run and saved in the notebook. PNG and JPEG images embed directly, pandas HTML tables are sanitized and rendered, and SVG figures stay sharp. The tool renders the outputs stored in the .ipynb rather than re-executing code.
- Do error tracebacks keep their colors?
- Yes. ANSI color codes in stdout, stderr, and exception tracebacks are converted to colored text, so a red ZeroDivisionError traceback looks the way it does in Jupyter rather than showing raw escape codes.