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A tool for comparing PDF files

Project description

DiffPDF

Build codecov Python 3.10+ License: MIT PyPI - Version PyPI - Downloads

CLI tool for detecting structural, textual, and visual differences between PDF files, for use in automatic regression tests.

How It Works

DiffPDF uses a fail-fast sequential pipeline to compare PDFs:

  1. Hash Check - SHA-256 comparison. If identical, exit immediately with pass.
  2. Page Count - Verify both PDFs have the same number of pages.
  3. Text Content - Extract and compare text from all pages (ignoring whitespace).
  4. Visual Check - Render pages to images and compare using pixelmatch-fast.

Each stage only runs if all previous stages pass.

Installation

Install Python (v3.10 or higher) and install the package:

pip install diffpdf

CLI Usage

Usage: diffpdf [OPTIONS] REFERENCE ACTUAL

  Compare two PDF files for structural, textual, and visual differences.

Options:
  --threshold FLOAT       Pixelmatch threshold (0.0-1.0)
  --dpi INTEGER           Render resolution
  --output-dir DIRECTORY  Diff output directory (saves text diffs and visual diff images on failure)
  -v, --verbose           Increase verbosity
  --skip-compare-text     Skip text content comparison
  --version               Show the version and exit.
  --help                  Show this message and exit.

Exit Codes

  • 0 — Pass (PDFs are equivalent)
  • 1 — Fail (differences detected)
  • 2 — Error (invalid input or processing error)

Library Usage

from diffpdf import diffpdf

# Basic usage (no diff output saved)
diffpdf("reference.pdf", "actual.pdf")

# With options (save text diffs and visual diff images to ./output directory)
diffpdf("reference.pdf", "actual.pdf", output_dir="./output", dpi=300)

Cross-Platform Considerations

PDF rendering may differ slightly between platforms due to different font rendering engines (ClearType on Windows, FreeType on Linux). DiffPDF's default threshold accounts for these minor differences.

Tip: Generate reference PDFs on the same platform as your CI environment

Development

Install uv. Then, install dependencies & activate the automatically generated virtual environment:

uv sync --locked
source .venv/bin/activate

Skip --locked to use the newest dependencies (this might modify uv.lock)

Testing

Run tests:

pytest

Quality Assurance (QA)

Automatically run code quality checks before every commit using pre-commit:

pre-commit install

This installs git hooks that run ruff, type checks, and other checks before each commit. You can run manually at any time with:

pre-commit run --all-files

Acknowledgements

Built with PyMuPDF for PDF parsing and pixelmatch-fast (Python port of pixelmatch) for visual comparison.

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