Skip to main content

A tool for comparing PDF files

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

diffpdf-1.2.2.tar.gz (127.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

diffpdf-1.2.2-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file diffpdf-1.2.2.tar.gz.

File metadata

  • Download URL: diffpdf-1.2.2.tar.gz
  • Upload date:
  • Size: 127.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for diffpdf-1.2.2.tar.gz
Algorithm Hash digest
SHA256 da4b1bc737469fffb46c0a573c9156fe8659b2810004b11b5ba084a369de513a
MD5 98345a88ee8d9da7bfa307e769075288
BLAKE2b-256 7901006ae77ee5d2113c165c33583b13dc55a88c67b0ebe849f4189ed92945fa

See more details on using hashes here.

Provenance

The following attestation bundles were made for diffpdf-1.2.2.tar.gz:

Publisher: pypi-publish.yml on JustusRijke/DiffPDF

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file diffpdf-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: diffpdf-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for diffpdf-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5660c7171b425dddaa8f1df1bb4de97a2b9675e7d2d0ff13cb532c286f32ea11
MD5 17b6dda2f2aecc207ef724bcfac5759c
BLAKE2b-256 3c943271c55d229601177e163547a6fa651ab5a13e49e37dcdb41c7ea5814ad6

See more details on using hashes here.

Provenance

The following attestation bundles were made for diffpdf-1.2.2-py3-none-any.whl:

Publisher: pypi-publish.yml on JustusRijke/DiffPDF

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page