Use Python via .NET library to split TXT files into parts. You can integrate the extracted TXT pages with other data and, as a result, get documents of the form and content that you require. Splitting TXT into parts makes it easier to collaborate on TXT files.
This software library provides Python developers with a set of functions to split TXT files into parts. Splitting a TXT document into separate files can be used to make it easier to work with sections of a document in parallel. For example, if several people are working on one TXT document at the same time, splitting it will allow them to speed up the work. The TXT document splitting may be part of a technology for extracting text from TXT files and integrating data into automated information systems or databases.
Our library provides Python developers with all the necessary functions to split TXT files into parts and extract pages according to the specified mode. This is a stand-alone Python via .NET solution that does not need Microsoft Word, Acrobat Reader or other applications installed.
Split TXT content using different criteria in Python code. You can use the following page extraction modes for TXT documents: 'split by headings', 'split by sections', 'split page by page', 'split by page ranges'.
After splitting your TXT file into parts, you can export the result to the required file format using the 'Document.Save' method. You can also control how the TXT document parts are exported to HTML or EPUB using the 'DocumentPartSavingCallback' property, which will allow you to redirect output streams.
Split TXT documents easily with our solution for Python via .NET. The following example shows how to split a TXT document using Python:
import aspose.words as aw
doc = aw.Document("Input.txt")
for page in range(0, doc.page_count):
extractedPage = doc.extract_pages(page, 1)
extractedPage.save(f"Output_{page + 1}.txt")We host our Python packages in PyPi repositories. Please follow the step-by-step instructions on how to install "Aspose.Words for Python via .NET" to your developer environment.
This package is compatible with Python ≥3.5 and <3.12. If you develop software for Linux, please have a look at additional requirements for gcc and libpython in Product Documentation.