Use Python library to split DOC file via REST API. Easily split two or more DOC file into parts using Python.
This Python library provides Python developers with the ability to work with a DOC split function using REST API. It allows you to split one DOC document into several smaller files online in Python. For example, you may need to email a few pages from your DOC document, or you may want to show a customer only a part of your DOC file. All this can be done through the DOC splitting functionality in Python code.
Various methods can be used for splitting a DOC file: 'by page', 'by page ranges', 'by headings', 'by section break'. Just load the original DOC document and choose the method you need. Make sure your DOC document uses the required heading styles or contains section breaks if you want to split your DOC file according to these criteria using Python code. After splitting a DOC document you can export the result as separate document pages or smaller files.
All DOC 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 DOC processing applications and is based on client-server interaction via REST API.
If you have questions on how to split a DOC document into multiple documents or how to extract DOC 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.doc', 'rb')
request = asposewordscloud.models.requests.SplitDocumentOnlineRequest(
document=doc,
format='doc',
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.