Toolbox - Split a PDF

Split a PDF file based on output from a Splitter/Classifier processor.

Explore further

For detailed documentation that includes this code sample, see the following:

• Document AI Toolbox client libraries
• Document splitters behavior
• Handle processing response
• Splitters behavior

Code sample

Python

For more information, see the Document AI Python API reference documentation.

To authenticate to Document AI, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

from google.cloud.documentai_toolbox import document

# TODO(developer): Uncomment these variables before running the sample.
# Given a local document.proto or sharded document.proto from a splitter/classifier in path
# document_path = "path/to/local/document.json"
# pdf_path = "path/to/local/document.pdf"
# output_path = "resources/output/"


def split_pdf_sample(document_path: str, pdf_path: str, output_path: str) -> None:
    wrapped_document = document.Document.from_document_path(document_path=document_path)

    output_files = wrapped_document.split_pdf(
        pdf_path=pdf_path, output_path=output_path
    )

    print("Document Successfully Split")
    for output_file in output_files:
        print(output_file)

What's next

To search and filter code samples for other Google Cloud products, see the Google Cloud sample browser.