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Convert Python source code to beautifully formatted PDF documents with line numbers, monospace font, and automatic page breaks — entirely in your browser, no server required.
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A Python to PDF converter transforms Python source code files into professionally formatted PDF documents. This is invaluable for code reviews, documentation, archiving source code, and printing Python files with proper formatting, line numbers, and monospace fonts that preserve code indentation and structure.
This tool uses pdfmake, a powerful client-side PDF generation library loaded via CDN. Everything happens entirely in your browser — your Python code never leaves your device. The tool reads your Python code, formats it with Courier monospace font, adds line numbers, and generates a PDF with proper A4 page size, margins, and automatic page breaks.
The generated PDF is optimized for readability and printing:
| Setting | Value |
|---|---|
| Page Size | A4 (210 × 297 mm) |
| Font | Courier (monospace) |
| Font Size | 10pt |
| Line Height | 1.4 |
| Margins | 40pt on all sides |
| Line Numbers | Yes — left-aligned, gray |
| Page Numbers | Yes — centered in footer |
| Page Breaks | Automatic |
A Python to PDF converter takes Python source code and generates a professionally formatted PDF document — ideal for documentation, code reviews, and printing.
The tool uses pdfmake (loaded via CDN) to generate PDFs entirely in your browser. Your Python code is rendered in Courier monospace font with line numbers on A4 paper.
No. All processing happens 100% in your browser. Your Python code never leaves your device — making this tool completely safe for proprietary and sensitive code.
The tool accepts .py, .phtml, and .inc files. Other file types will be rejected with a helpful error message.
Yes. pdfmake handles large files efficiently with automatic page breaks. Files with thousands of lines work without issues.
Yes. This Python to PDF converter is completely free with no registration, no API keys, and no usage limits.
Yes. Each line of code is numbered in the left column for easy reference. Line numbers appear in a subtle gray color that doesn't distract from the code itself.
Yes. Click the URL icon, paste the link to a raw Python file (e.g., from GitHub raw), and the tool fetches and loads the code. Note that the URL must support CORS for browser fetching.
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