Why to Convert OFT to DOTX?
The OFT format is a file format used by Microsoft Outlook to store email templates. It is a text-based format that stores the content of an email message, including the subject, body, and attachments. The DOTX format is a Microsoft Word template file format that is used to store document templates. It is a binary file format that stores the content of a document, including the text, images, and formatting. Converting OFT to DOTX allows users to create documents from email templates, which can be used to quickly create documents with the same formatting and content.
How Aspose.Total Helps for OFT to DOTX Conversion?
Aspose.Total for Python via .NET is a full package of various APIs dealing different formats including Email, Images and Microsoft Word formats. It includes Aspose.Words for Python via .NET and Aspose.Email for Python via .NET APIs that make it easy to automate the conversion process from OFT to DOTX using Python. It is a two step process, firstly load Email and render it into HTML via Aspose.Email for Python via .NET. Secondly load the converted HTML using Aspose.Words for Python via .NET and save it into respective Word DOTX format. This makes it easy for Python developers to add a OFT to DOTX conversion feature within their application.
How to Convert OFT to DOTX in Python
- Open the source OFT file using MailMessage.load class
- Call the
save
method while specifying output HTML file path and relevant HTML Save options as parameter. So your OFT 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 OFT is converted
Conversion Requirements
- For OFT to DOTX 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.words
andpip 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