How to Convert Python Files to PDF or DOCX (Without Installing LaTeX)

Source: Dev.to

You have a .py file — or a handful of them — and you need a PDF or Word document. Maybe you’re submitting coursework, sharing code with a non‑developer, creating a printable archive, or reviewing an open‑source repo offline. Below is a concise overview of the most common approaches, their trade‑offs, and when each shines.

Pandoc

Pandoc is a mature, widely‑used document converter that handles .py to DOCX or PDF well.

pandoc my_script.py -o output.docx
pandoc my_script.py -o output.pdf

• DOCX output works cleanly without extra dependencies — a solid choice if you’re comfortable with the command line.
• PDF output requires a separate PDF engine. By default Pandoc uses LaTeX (MiKTeX on Windows, MacTeX on macOS), which are large installations. Lighter alternatives such as wkhtmltopdf or weasyprint can be used via the --pdf-engine flag, but they also need to be installed.

Best for: Developers comfortable with CLI who want a free, scriptable solution. DOCX needs minimal setup; PDF requires choosing and installing a PDF engine first.

nbconvert (for Jupyter notebooks)

If you’re working with .ipynb notebooks, nbconvert is the right tool. It handles cell outputs, inline plots, and markdown cells cleanly.

jupyter nbconvert --to html notebook.ipynb
jupyter nbconvert --to pdf notebook.ipynb

• Native output formats include HTML, PDF, Markdown, and script.
• DOCX is not a native nbconvert format — converting to DOCX requires Pandoc and python-docx installed separately (available in JupyterLab via File → Export As → Word if those dependencies are present).
• PDF output still requires a LaTeX distribution.

Best for: Data scientists and notebook users who need HTML or PDF exports. Not applicable to plain .py files.

Sphinx

Sphinx is the standard Python documentation tool. It generates a full docs site from your source code, and make latexpdf produces a PDF.

• The setup is substantial: you need Sphinx configured, docstrings in the right format, and a LaTeX install.
• The output quality is excellent: proper cross‑references, module indexes, and a professional layout.

Best for: Open‑source projects that need maintained documentation. Overkill for a quick export, but a solid long‑term investment for serious projects.

VS Code / Browser Print

Open a file in VS Code with a print extension, or view it on GitHub and use the browser’s Print → Save as PDF.

• No installs, no command line, works immediately.
• Output quality is limited — margins and page breaks aren’t controlled, long lines can be cut off, and there’s no table of contents.

Best for: A quick rough printout of a single file when appearance doesn’t matter much.

pBinder (Windows only)

pBinder is a portable Windows EXE built specifically for converting Python files and projects to DOCX and PDF. It requires no LaTeX, no Python environment, and no installation — just download and run.

• Works for a single file, a handful of files, or an entire project directory.
• Produces a navigable document:
  • Clickable table of contents with a project folder tree
  • Symbol directory listing every locally defined class, function, and method with hyperlinks
  • Call‑site cross‑references linking each usage back to its definition

Limitations: Windows 10 64‑bit only; PDF export requires Microsoft Word (DOCX works without Word).

Best for: Windows users who want structured, navigable output without the LaTeX and CLI setup that Pandoc or Sphinx require. A 14‑day free trial is available at .

Comparison Table

Choosing the Right Tool

• One file, no fuss: VS Code or browser print.
• Notebooks: nbconvert.
• Scripting with DOCX output (no LaTeX): Pandoc.
• Full project documentation (long‑term): Sphinx.
• Navigable DOCX/PDF on Windows, zero setup: pBinder.

Every tool has a legitimate use case. The right choice depends on your OS, how much setup you’re willing to do, and the desired output quality.