Convert PST to TEXT using Python
PST to TEXT conversion in your Python Applications without installing Microsoft Word® or Outlook.
Aspose.Total for Python via .NET" is an ideal solution for Python developers who are looking to add PST to TEXT conversion feature within their application. It is a comprehensive package of various APIs that can help to automate the conversion process. It includes APIs for dealing with Email, Images and Microsoft Word formats. The conversion process is a two-step process. Firstly, the Email is loaded and rendered into HTML using the “Aspose.Email for Python via .NET” API. Secondly, the converted HTML is loaded using the “Aspose.Words for Python via .NET” API and saved into the respective Word TEXT format. The APIs provided by “Aspose.Total for Python via .NET” are easy to use and can be integrated into any existing application. It also provides a wide range of features such as the ability to convert PST to TEXT, HTML, DOCX, and other formats. Additionally, it also provides features such as the ability to extract attachments, convert emails to PDF, and more. Overall, “Aspose.Total for Python via .NET” is a great solution for Python developers who are looking to add PST to TEXT conversion feature within their application. It is easy to use and provides a wide range of features that can help to automate the conversion process.
How to Convert PST to TEXT in Python
- Open the source PST file using MailMessage.load class
- Call the
savemethod while specifying output HTML file path and relevant HTML Save options as parameter. So your PST file is converted to HTML at the specified path - Now Load the saved HTML file using Document
- Call the save method with relevant file path. So finally the PST is converted
Conversion Requirements
- For PST to TEXT conversion, Python 3.5 or later is required
- Reference APIs within the project directly from PyPI ( Aspose.Words and Aspose.Email )
- Or use the following pip command
pip install aspose.wordsandpip install Aspose.Email-for-Python-via-NET - Moreover, Microsoft Windows or Linux based OS (see more for Words and Email ) and for Linux check additional requirements for gcc and libpython and follow step by step instructions INSTALL
Save PST To TEXT in Python
Key Use Cases
Plain Text Extraction Converts PST content into text for clean, format-free access to message data.
Search and Index Support Helps prepare mailbox archives for retrieval and content discovery workflows.
Analysis-Ready Output Supports downstream processing where simple text is preferred over formatted documents.
Automation Scenarios
Text Processing Pipelines Automated systems can feed PST-derived text into indexing or analysis workflows.
Data Extraction Workflows Plain text output helps simplify parsing, filtering, and transformation tasks.
Scalable Content Mining Programmatic conversion enables large mailbox archives to be analyzed more efficiently.