pypdfium2

pypdfium2 is an ABI-level Python 3 binding to PDFium, a powerful and liberal-licensed library for PDF rendering, inspection, manipulation and creation.

It is built with ctypesgen and external PDFium binaries. The custom setup infrastructure provides a seamless packaging and installation process. A wide range of platforms is supported with pre-built packages.

pypdfium2 includes helpers to simplify common use cases, while the raw PDFium/ctypes API remains accessible as well.

Installation

• From PyPI 🔗 (recommended)

  python -m pip install -U pypdfium2
  

  This will use a pre-built wheel package, the easiest way of installing pypdfium2.

• From source 🔗

  • Dependencies:

    • System: git, C pre-processor (gcc/clang - alternatively, specify the command to envoke via $CPP)
    • Python: ctypesgen (pypdfium2-team fork), wheel, setuptools. Usually installed automatically.

  • Get the code

    git clone "https://github.com/pypdfium2-team/pypdfium2.git"
    cd pypdfium2/
    

  • With pre-built binary 🔗

    # In the pypdfium2/ directory
    python -m pip install -v .
    

    A binary is downloaded implicitly from pdfium-binaries and bundled into pypdfium2.

  • With self-built binary 🔗

    # call build script with --help to list options
    python setupsrc/pypdfium2_setup/build_pdfium.py
    PDFIUM_PLATFORM="sourcebuild" python -m pip install -v .
    

    Building PDFium may take a long time, as it comes with its bundled toolchain and deps, rather than taking them from the system.¹ However, we can at least provide the --use-syslibs option to build against system-provided runtime libraries.

  • With system-provided binary 🔗

    # Substitute $PDFIUM_VER with the system pdfium's build version.
    # For ABI safety reasons, you'll want to make sure `$PDFIUM_VER` is correct and the bindings are rebuilt whenever system pdfium is updated.
    PDFIUM_PLATFORM="system:$PDFIUM_VER" python -m pip install -v .
    

    Link against external pdfium instead of bundling it. Note, this is basically a high-level convenience entry point to internal bindings generation, and intended for end users. Therefore it is less flexible, supporting only the "simple case" for now. For more sohpisticated use cases that need passing custom parameters to ctypesgen (e.g. runtime libdirs / headers / feature flags), consider caller-provided data files.

  • With caller-provided data files 🔗 (this is expected to work offline)

    # Call ctypesgen (see --help or packaging_base.py::run_ctypesgen() for further options)
    # Reminder: you'll want to use the pypdfium2-team fork of ctypesgen
    ctypesgen --library pdfium --runtime-libdirs $MY_LIBDIRS --headers $MY_INCLUDE_DIR/fpdf*.h -o src/pypdfium2_raw/bindings.py [-D $MY_FLAGS]
    
    # Write the version file (fill the placeholders).
    # Note, this is not a mature interface yet and might change!
    # major/minor/build/patch: integers forming the pdfium version being packaged
    # n_commits/hash: git describe like post-tag info (0/null for release commit)
    # origin: a string to identify the build, consisting of binary source and package provider (e.g. "system/debian", "pdfium-binaries/debian")
    # flags: a comma-delimited list of pdfium feature flag strings (e.g. "V8", "XFA") - may be empty for default build
    cat >"src/pypdfium2_raw/version.json" <<END
    {
      "major": $PDFIUM_MAJOR,
      "minor": $PDFIUM_MINOR,
      "build": $PDFIUM_BUILD,
      "patch": $PDFIUM_PATCH,
      "n_commits": $POST_TAG_COMMIT_COUNT,
      "hash": $POST_TAG_HASH,
      "origin": "$ORIGIN",
      "flags": [$MY_FLAGS]
    }
    END
    
    # optional: copy in a binary if bundling
    cp "$BINARY_PATH" src/pypdfium2_raw/libpdfium.so
    
    # Finally, install
    # set $MY_PLATFORM to "system" if building against system pdfium, "auto" or the platform name otherwise
    PDFIUM_PLATFORM='prepared!$MY_PLATFORM:$PDFIUM_BUILD' python -m pip install --no-build-isolation -v .
    

  See Setup Magic for details.

  Support for source installs (esp. with self-built/system pdfium) is limited, as their integrity depends somewhat on a correctly acting caller.

  Installing an sdist does not implicitly trigger a sourcebuild if no pre-built binary is available. It is preferred to let callers decide consciously what to do, and run the build script without pip encapsulation.

  Relevant pip options:

  • -v: Verbose logging output. Useful for debugging.

  • -e: Install in editable mode, so the installation points to the source tree. This way, changes directly take effect without needing to re-install. Recommended for development.

  • --no-build-isolation: Do not isolate setup in a virtual env; use the main env instead. This renders pyproject.toml [build-system] inactive, setup deps must be prepared by caller. Useful to install custom versions of setup deps, or as speedup when installing repeatedly.

• From Conda 🔗

  Beware: Any conda packages/recipes of pypdfium2 or pdfium-binaries that might be provided by other distributors, including anaconda/main or conda-forge default channels, are unofficial.

  • To install

    With permanent channel config (encouraged):

    conda config --add channels bblanchon
    conda config --add channels pypdfium2-team
    conda config --set channel_priority strict
    conda install pypdfium2-team::pypdfium2_helpers
    

    Alternatively, with temporary channel config:

    conda install pypdfium2-team::pypdfium2_helpers --override-channels -c pypdfium2-team -c bblanchon -c defaults
    

    Adding the channels permanently and tightening priority is encouraged to include pypdfium2 in conda update by default, and to avoid accidentally replacing the install with a different channel. (If desired, you may limit the channel config to the current environment by adding --env.) Otherwise, you should be cautious when making changes to the environment.

  • To depend on pypdfium2 in a conda-build recipe

    requirements:
      run:
        - pypdfium2-team::pypdfium2_helpers
    

    You'll want to have downstream callers handle the custom channels as shown above, otherwise conda will not be able to satisfy requirements.

  • To set up channels in a GH workflow

    - name: ...
      uses: conda-incubator/setup-miniconda@v3
      with:
        # ... your options
        channels: pypdfium2-team,bblanchon
        channel-priority: strict
    

    This is just a suggestion, you can also call conda config manually, or pass channels on command basis using -c, as discussed above.

  • To verify the sources

    conda list --show-channel-urls "pypdfium2|pdfium-binaries"
    conda config --show-sources
    

    The table should show pypdfium2-team and bblanchon in the channels column. If added permanently, the config should also include these channels, ideally with top priority. Please check this before reporting any issue with a conda install of pypdfium2.

  Note: Conda packages are normally managed using recipe feedstocks driven by third parties, in a Linux repository like fashion. However, with some quirks it is also possible to do conda packaging within the original project and publish to a custom channel, which is what pypdfium2-team does, and the above instructions are referring to.

• Unofficial packages 🔗

  The authors of this project have no control over and are not responsible for possible third-party builds of pypdfium2, and we do not support them. Please use the official packages where possible. If you have an issue with a third-party build, either contact your distributor, or try to reproduce with an official build.

  Do not expect us to help with the creation of unofficial builds or add/change code for downstream setup tasks. Related issues or PRs may be closed without further notice if we don't see fit for upstream.

  If you are a third-party distributor, please point out clearly and visibly in the description that your package is unofficial, i.e. not affiliated with or endorsed by pypdfium2 team.

Runtime Dependencies

As of this writing, pypdfium2 does not need any mandatory runtime dependencies apart from Python itself.

However, some optional support model features require additional packages:

• Pillow (module name PIL) is a pouplar imaging library for Python. pypdfium2 provides convenience methods to translate between raw bitmap buffers and PIL images.
• NumPy is a library for scientific computing. Similar to Pillow, pypdfium2 provides helpers to get a numpy array view of a raw bitmap.

Setup Magic

As pypdfium2 requires a C extension and has custom setup code, there are some special features to consider. Note, the APIs below may change any time and are mostly of internal interest.

• Binaries are stored in platform-specific sub-directories of data/, along with bindings and version information.

• $PDFIUM_PLATFORM defines which binary to include on setup.

  • Format spec: [$PLATFORM][-v8][:$VERSION] ([] = segments, $CAPS = variables).
  • Examples: auto, auto:5975 auto-v8:5975 (auto may be substituted by an explicit platform name, e.g. linux_x64).
  • Platform:
    • If unset or auto, the host platform is detected and a corresponding binary will be selected.
    • If an explicit platform identifier (e.g. linux_x64, darwin_arm64, ...), binaries for the requested platform will be used.²
    • If system, bind against system-provided pdfium instead of embedding a binary. Version must be given explicitly so matching bindings can be generated.
    • If sourcebuild, binaries will be taken from data/sourcebuild/, assuming a prior run of build_pdfium.py.
    • If sdist, no platform-dependent files will be included, so as to create a source distribution. sourcebuild and sdist are standalone, they cannot be followed by additional specifiers.
  • V8: If given, use the V8 (JavaScript) and XFA enabled pdfium binaries. Otherwise, use the regular (non-V8) binaries.
  • Version: If given, use the specified pdfium-binaries release. Otherwise, use the latest one.
  • It is possible to prepend prepared! to install with existing platform files instead of generating on the fly; the value will be used for metadata / file inclusion. This can be helpful when installing in an isolated env where ctypesgen is not available, but it is not desirable to use the reference bindings (e.g. conda).

• $PYPDFIUM_MODULES=[raw,helpers] defines the modules to include. Metadata adapts dynamically.

  • May be used by packagers to decouple raw bindings and helpers, which may be relevant if packaging against system pdfium.
  • Would also allow to install only the raw module without helpers, or only helpers with a custom raw module.

• $PDFIUM_BINDINGS=reference allows to override ctypesgen and use the reference bindings file autorelease/bindings.py instead.

  • This is a convenience option to get pypdfium2 installed from source even if a working ctypesgen is not available in the install env.
  • Warning: This may not be ABI-safe. Please make sure binary/bindings build headers match to avoid ABI issues.

Usage

Support model

Here are some examples of using the support model API.

• Import the library

  import pypdfium2 as pdfium
  

• Open a PDF using the helper class PdfDocument (supports file path strings, bytes, and byte buffers)

  pdf = pdfium.PdfDocument("./path/to/document.pdf")
  version = pdf.get_version()  # get the PDF standard version
  n_pages = len(pdf)  # get the number of pages in the document
  page = pdf[0]  # load a page
  

• Render the page

  bitmap = page.render(
      scale = 1,    # 72dpi resolution
      rotation = 0, # no additional rotation
      # ... further rendering options
  )
  pil_image = bitmap.to_pil()
  pil_image.show()
  

• Try some page methods

  # Get page dimensions in PDF canvas units (1pt->1/72in by default)
  width, height = page.get_size()
  # Set the absolute page rotation to 90° clockwise
  page.set_rotation(90)
  
  # Locate objects on the page
  for obj in page.get_objects():
      print(obj.level, obj.type, obj.get_pos())
  

• Extract and search text

  # Load a text page helper
  textpage = page.get_textpage()
  
  # Extract text from the whole page
  text_all = textpage.get_text_range()
  # Extract text from a specific rectangular area
  text_part = textpage.get_text_bounded(left=50, bottom=100, right=width-50, top=height-100)
  
  # Locate text on the page
  searcher = textpage.search("something", match_case=False, match_whole_word=False)
  # This returns the next occurrence as (char_index, char_count), or None if not found
  first_occurrence = searcher.get_next()
  

• Read the table of contents

  for item in pdf.get_toc():
      state = "*" if item.n_kids == 0 else "-" if item.is_closed else "+"
      target = "?" if item.page_index is None else item.page_index+1
      print(
          "    " * item.level +
          "[%s] %s -> %s  # %s %s" % (
              state, item.title, target, item.view_mode, item.view_pos,
          )
      )
  

• Create a new PDF with an empty A4 sized page

  pdf = pdfium.PdfDocument.new()
  width, height = (595, 842)
  page_a = pdf.new_page(width, height)
  

• Include a JPEG image in a PDF

  pdf = pdfium.PdfDocument.new()
  
  image = pdfium.PdfImage.new(pdf)
  image.load_jpeg("./tests/resources/mona_lisa.jpg")
  width, height = image.get_size()
  
  matrix = pdfium.PdfMatrix().scale(width, height)
  image.set_matrix(matrix)
  
  page = pdf.new_page(width, height)