Frequently Asked Questions — Convert ipynb to PDF
Everything you need to know about converting Jupyter notebooks (.ipynb) and Python notebooks to PDF for free.
How to convert ipynb to PDF for free?
Upload your .ipynb file to ipynb2pdf.site, choose your preferred code theme and PDF template, then click Convert. The conversion happens entirely in your browser — no sign-up, no payment, no watermarks. Your file is never uploaded to any server.
Does this tool upload my file to a server?
No. ipynb2PDF runs 100% in your browser. Your notebook file never leaves your computer. There is no server-side processing, no file storage, and no data collection. Your data stays completely private. This is our key differentiator from tools like vertopal or theonlineconverter, which require uploading your files to their servers.
How to keep code highlighting when converting ipynb to PDF?
ipynb2PDF uses highlight.js to render Python (and other language) syntax with professional-quality coloring. You can choose from multiple themes including Monokai, One Dark, Dracula, and GitHub Light. The syntax highlighting is preserved in the final PDF output — operators, keywords, strings, comments, and numbers are all correctly colored.
How to convert Jupyter notebook with LaTeX formulas to PDF?
ipynb2PDF uses KaTeX to render all LaTeX math expressions — both inline ($...$) and display ($$...$$) formulas are fully supported. Just upload your notebook and the formulas will be rendered correctly in the PDF. No additional LaTeX installation is needed on your computer, everything runs in the browser.
Why are my charts missing in the PDF?
Charts from matplotlib, seaborn, plotly, and other plotting libraries are stored as base64-encoded images in .ipynb files. ipynb2PDF extracts these images and embeds them in the PDF at full resolution. If charts are missing, make sure your notebook was saved with outputs — run all cells before saving the notebook. If a cell was not executed before saving, the chart output won't be in the file.
What is the best ipynb to PDF converter?
The best converter depends on your needs. ipynb2PDF is ideal if you value:
- Privacy — your files never leave your computer
- Rendering quality — code highlighting, LaTeX, charts all preserved
- Free usage — no limits, no watermarks, no sign-up
- No installation — works in any modern browser
Can I convert ipynb to PDF without installing Python?
Yes! ipynb2PDF works entirely in your web browser. You don't need Python, Jupyter, nbconvert, LaTeX, or any other software installed on your computer. Just open the website, upload your .ipynb file, and download the PDF. This makes it perfect for students, teachers, and researchers who need to convert notebooks on computers where they can't install software.
How to convert a Python notebook (.ipynb) to PDF online for free?
Converting a Python notebook (.ipynb file) to PDF is completely free with ipynb2PDF — no registration, no payment, no software installation required. Simply open the converter in your browser, drag and drop your .ipynb file, pick your preferred code theme and template, and click Convert. Your Python code, outputs, and any LaTeX formulas will be rendered beautifully in the PDF. The entire conversion happens online in your browser — no need to install Python or any tools on your computer.
Can I convert Jupyter notebooks to PDF without using an online converter that uploads my file?
Yes. Unlike online converters that send your file to a remote server, ipynb2PDF processes your .ipynb file entirely in your browser. Your Jupyter notebook never leaves your computer. The conversion uses local JavaScript running in your browser — similar to how WebAssembly works — so there's no server involved, no file upload, and no privacy risk. This makes ipynb2PDF safe for confidential research data, proprietary code, or any content you don't want uploaded to the internet.
How to convert Jupyter notebook to PDF with code highlighting?
Code highlighting is preserved automatically when you convert a Jupyter notebook (.ipynb) to PDF with ipynb2PDF. The tool uses highlight.js to apply syntax coloring to Python, R, JavaScript, Bash, and other languages — with themes including Monokai, One Dark, Dracula, and GitHub Light. In the PDF output, keywords stay blue, strings stay green, comments stay gray, and operators stay red — just like in your editor. This makes the PDF easy to read and suitable for reports, theses, or sharing with colleagues who don't use Jupyter.