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DiffPDF

Build codecov Python 3.11+ 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 (v3.11 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.

Metadata

Release files for diffpdf 1.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for diffpdf 1.2.2
File Size Uploaded
diffpdf-1.2.2.tar.gz 127.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for diffpdf 1.2.2
File Interpreter ABI Platform
diffpdf-1.2.2-py3-none-any.whl Python 3 none any Details

Total release size: 135.4 kB

Release files / diffpdf-1.2.2.tar.gz

Download URL diffpdf-1.2.2.tar.gz
Size 127.1 kB
Tags Source
SHA-256 checksum
How to use checksums
da4b1bc737469fffb46c0a573c9156fe8659b2810004b11b5ba084a369de513a
BLAKE2b-256 checksum
How to use checksums
7901006ae77ee5d2113c165c33583b13dc55a88c67b0ebe849f4189ed92945fa
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 9, 2026.

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Release files / diffpdf-1.2.2-py3-none-any.whl

Download URL diffpdf-1.2.2-py3-none-any.whl
Size 8.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
5660c7171b425dddaa8f1df1bb4de97a2b9675e7d2d0ff13cb532c286f32ea11
BLAKE2b-256 checksum
How to use checksums
3c943271c55d229601177e163547a6fa651ab5a13e49e37dcdb41c7ea5814ad6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 9, 2026.

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