Hi everyone! Maker here. Every data person has hit this once: you need a PDF of a notebook for a report or a homework submission, you run `jupyter nbconvert --to pdf`, and it dies with "xelatex not found" or "500: Internal Server Error". Installing a 4 GB TeX distribution to print a notebook always felt absurd to me. So I built ipynb to PDF to skip that entirely. The notebook is parsed and rendered in your browser (Markdown, KaTeX math, highlighted code, plots, DataFrames, tracebacks), then handed to the browser's print engine. The PDF has real selectable text, and nothing ever leaves your machine because there is no server at all - the site is a static page. While building it I ran it against a pile of real notebooks (Kaggle kernels, Colab exports, old nbformat 3 files) and fixed everything that broke, so it should handle the messy ones too. It also does ipynb to HTML, ipynb to .py, and works as a plain viewer. It's free and MIT licensed. I'd love to hear which notebooks it still chokes on, and what you'd want next.

ipynb to PDF

Jupyter notebook to PDF in your browser. No upload, no LaTeX

Jupyter notebook to PDF in your browser. No upload, no LaTeX