pikepdf
Read, write, repair, and transform PDFs in Python -- powered by qpdf.
pikepdf is based on qpdf, a mature, actively maintained C++ library for PDF manipulation and repair.
Python + qpdf = "py" + "qpdf" = "pyqpdf", which looks like a dyslexia test. Say it out loud, and it sounds like "pikepdf".
import pikepdf
# Open a PDF -- pikepdf (via qpdf) automatically repairs structural damage
with pikepdf.Pdf.open('input.pdf') as pdf:
num_pages = len(pdf.pages)
del pdf.pages[-1]
pdf.save('output.pdf')
Installation
pip install pikepdf
Binary wheels are available for all common platforms -- Linux, macOS, and Windows on both x86-64 and ARM64/Apple Silicon -- including free-threaded (no-GIL) CPython 3.14. No compiler required.
For building from source, see installation. Commercial support is available.
What Can pikepdf Do?
Manipulate pages
Merge, split, rotate, and rearrange pages across PDFs.
from pikepdf import Pdf
# Merge multiple PDFs
with Pdf.new() as merged:
for filename in ['first.pdf', 'second.pdf', 'third.pdf']:
src = Pdf.open(filename)
merged.pages.extend(src.pages)
merged.save('merged.pdf')
# Rotate all pages in a document
with Pdf.open('input.pdf') as pdf:
for page in pdf.pages:
page.rotate(180, relative=True)
pdf.save('rotated.pdf')
Edit metadata
Read and write XMP metadata and DocumentInfo, with automatic synchronization between the two.
import pikepdf
with pikepdf.open('report.pdf') as pdf:
with pdf.open_metadata() as meta:
meta['dc:title'] = 'Quarterly Report'
meta['dc:creator'] = ['Author Name']
pdf.save('updated.pdf')
Extract images
Extract images losslessly from PDFs -- without re-encoding JPEGs or other compressed formats.
from pikepdf import Pdf, PdfImage
with Pdf.open('document.pdf') as pdf:
for page in pdf.pages:
for name, raw_image in page.images.items():
image = PdfImage(raw_image)
image.extract_to(fileprefix='output')
Encrypt and decrypt
Open password-protected PDFs and save with encryption (AES-256, AES-128, or RC4).
import pikepdf
# Open an encrypted PDF
with pikepdf.open('protected.pdf', password='secret') as pdf:
pdf.save('decrypted.pdf')
# Save with encryption
with pikepdf.open('input.pdf') as pdf:
pdf.save('encrypted.pdf', encryption=pikepdf.Encryption(
user='readpassword', owner='adminpassword'
))
# Remove encryption if user password is not set
with pikepdf.open('protected.pdf') as pdf:
pdf.save('decrypted.pdf', encryption=False)
(Digital signature-based encryption is not currently supported.)
Linearize to improve browser performance
Create "fast web view" PDFs optimized for streaming delivery.
with pikepdf.open('input.pdf') as pdf:
pdf.save('web_optimized.pdf', linearize=True)
Access PDF objects directly
Use a Pythonic API that mirrors the PDF specification -- dictionaries, arrays, streams, and names map directly to Python types.
from pikepdf import Pdf, Name
with Pdf.open('input.pdf') as pdf:
page = pdf.pages[0]
page.MediaBox # e.g. [0, 0, 612, 792]
page.Resources.XObject # image and form XObjects on this page
page.Rotate = 90 # set page rotation directly
Use qpdf's Job API
Access qpdf's full command-line capabilities programmatically from Python.
from pikepdf import Job
# Check a PDF for errors
Job(['pikepdf', '--check', 'document.pdf']).run()
# Or use qpdf's JSON job interface
Job({'inputFile': 'input.pdf', 'outputFile': 'output.pdf', 'linearize': ''}).run()
Key Features
- Built on qpdf -- backed by a mature, battle-tested C++ PDF library
- Automatic PDF repair -- silently fixes many types of PDF damage on open
- PDF/A compliance -- modify PDFs without breaking PDF/A conformance
- XMP metadata editing -- full read/write support for XMP and DocumentInfo
- Encryption support -- open and save password-protected PDFs (AES-256, AES-128, RC4)
- Linearization -- create "fast web view" PDFs for efficient streaming
- Pythonic API -- dictionary-style access to PDF objects, list-style page access
- Lossless image extraction -- extract and replace images without re-encoding
- Content stream inspection -- parse and manipulate page content at the operator level
- Object-level manipulation -- work directly with PDF objects per the specification
- Jupyter integration -- render PDF and page previews inline in notebooks
- Binary wheels everywhere -- pre-built for Linux, macOS, Windows (x86-64 and ARM64), including free-threaded CPython 3.14
- Liberal license -- MPL-2.0, compatible with most open and closed source projects
When to Use pikepdf
pikepdf is a great fit when you need to:
- Repair, sanitize, or normalize damaged or malformed PDFs
- Merge, split, rotate, crop, or rearrange pages
- Edit PDF metadata (XMP, DocumentInfo) programmatically
- Build tools or libraries that operate on existing PDFs
- Preserve PDF/A or other standard compliance while modifying documents
- Work with encrypted PDFs
- Perform low-level PDF surgery (object and stream manipulation)
- Optimize PDFs for web delivery (linearization)
pikepdf is probably not what you want if you need to:
- Generate PDFs from HTML or templates -- consider weasyprint or reportlab
- Render PDFs to images -- consider PyMuPDF or pypdfium2
- Extract text or tables from PDFs -- consider pdfminer.six or pdfplumber
PDF Libraries in Python
Python has several PDF libraries, each with different strengths. pypdf is pure Python and well-suited for straightforward PDF tasks without compiled dependencies. pypdfium for permissively licensed PDF rendering. PyMuPDF offers comprehensive rendering and text extraction. pikepdf focuses on correctness, repair, and low-level manipulation through qpdf, under the permissive MPL-2.0 license.
Testimonials
I decided to try writing a quick Python program with pikepdf to automate [something] and it "just worked". --Jay Berkenbilt, creator of qpdf
"Thanks for creating a great pdf library, I tested out several and this is the one that was best able to work with whatever I threw at it." --@cfcurtis
Used By
-
OCRmyPDF uses pikepdf to graft OCR text layers onto existing PDFs, to examine the contents of input PDFs, and to optimize PDFs.
-
PDF Arranger is a small Python application that provides a graphical user interface to rotate, crop and rearrange PDFs.
-
PDFStitcher is a utility for stitching PDF pages into a single document (i.e. N-up or page imposition).
Documentation
Full documentation is available at pikepdf.readthedocs.io. For the latest changes, see the release notes.
Contributing
Contributions are welcome! If you'd like to make a contribution, see the Contributing Guidelines
License
pikepdf is licensed under the Mozilla Public License 2.0 license (MPL-2.0) that can be found in the LICENSE file. By using, distributing, or contributing to this project, you agree to the terms and conditions of this license. MPL 2.0 permits you to combine the software with other work, including commercial and closed source software, but asks you to publish source-level modifications you make to pikepdf itself.
Some components of the project may be under other license agreements, as indicated in their SPDX license header or the REUSE.toml file.
pikepdf source distributions contain only pikepdf's own MPL-2.0 code. Binary wheels additionally bundle compiled third-party libraries — qpdf and libjpeg-turbo everywhere, plus OpenSSL and zlib on Windows and the GnuTLS stack on macOS. third-party-licenses/ maps each of those components to its license, and every wheel redistributes that mapping and the license texts under pikepdf-<version>.dist-info/licenses/.
1 maintainer
Release files for pikepdf 10.14.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pikepdf-10.14.0.tar.gz | 9.9 MB | Details |
Built distributions (wheels)
Total release size: 125.1 MB
Release files / pikepdf-10.14.0.tar.gz
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| Size | 9.9 MB |
| Tags | Source |
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Transparency logRelease files / pikepdf-10.14.0-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
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| Size | 2.4 MB |
| Tags | CPython 3.11 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64 |
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| Download URL | pikepdf-10.14.0-cp311-cp311-macosx_15_0_arm64.whl |
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| Size | 2.1 MB |
| Tags | CPython 3.11 macOS 15.0+ ARM64 |
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