Use Python library to split PDF file via REST API. Easily split two or more PDF file into parts using Python.
This Python library provides Python developers with the ability to work with a PDF split function using REST API. It allows you to split one PDF document into several smaller files online in Python. For example, you may need to email a few pages from your PDF document, or you may want to show a customer only a part of your PDF file. All this can be done through the PDF splitting functionality in Python code.
Various methods can be used for splitting a PDF file: 'by page', 'by page ranges', 'by headings', 'by section break'. Just load the original PDF document and choose the method you need. Make sure your PDF document uses the required heading styles or contains section breaks if you want to split your PDF file according to these criteria using Python code. After splitting a PDF document you can export the result as separate document pages or smaller files.
All PDF document splitting is performed in the Cloud on Aspose web servers with maximum speed and in compliance with all security standards. Our Python library is designed to create PDF processing applications and is based on client-server interaction via REST API.
If you have questions on how to split a PDF document into multiple documents or how to extract PDF pages according to specified parameters, try our Splitter online and export the result into a convenient document format:
import asposewordscloud
words_api = WordsApi(client_id = '####-####-####-####-####', client_secret = '##################')
doc = open('Input.pdf', 'rb')
request = asposewordscloud.models.requests.SplitDocumentOnlineRequest(
document=doc,
format='pdf',
zip_output=true)
zippedPages = words_api.split_document_online(request)
Install Aspose.Words Cloud SDK for Python using PyPi repository. Run pip install aspose-words-cloud to install the SDK, then import the package via import asposewordscloud. As an alternative, you can manually clone Aspose.Words Cloud SDK for Python source code from GitHub and use it in your project. Please follow these Instructions to quickly get the necessary security credentials and access our REST API.
Refer to the Repository Documentation to see the details.