Convert TSV to DOCM via Python or Online App
TSV to DOCM conversion in your Python applications without installing Microsoft Excel® or Word
Why to Convert
Python developers often need to convert TSV (Tab Separated Values) files to DOCM (Microsoft Word Open XML Macro-Enabled Document) files. This is because DOCM files are more versatile and can be used to store complex data, such as macros, scripts, and formatting. Additionally, DOCM files are more secure than TSV files, as they are encrypted and can be password protected.
How Aspose.Total Helps for TSV to DOCM Conversion
Aspose.Total for Python via .NET API is a comprehensive package of various APIs that can help automate the conversion process from TSV to DOCM. It is a full package of various APIs dealing with different formats, including TSV and DOCM files. The conversion process is mainly in two steps.
Firstly, the Aspose.Cells for Python via .NET API is used to convert the TSV file to HTML. After that, the Word Python API, Aspose.Words for Python via .NET, is used to save the created HTML into the desired Microsoft Word format. This API also provides features such as document manipulation, mail merge, and reporting. It also supports a wide range of document formats, including DOCM, DOCX, HTML, PDF, and many more.
The Aspose.Total for Python via .NET API is a great tool for Python developers who need to convert TSV files to DOCM files. It is easy to use and provides a comprehensive set of features that can help automate the conversion process.
How to Convert TSV to DOCM in Python
- Step 1 Open the source TSV file using Workbook class
- Save TSV file to HTML by using save(file, SaveFormat.HTML) method by providing the file name and desired directory path
- Step 2 Load HTML file with an instance of Document class
- Call the
savemethod while specifying output DOCM file path. So your TSV file is converted to DOCM at the specified path
Conversion Requirements
- For TSV to DOCM conversion, Python 3.5 or later is required
- Reference APIs within the project directly from PyPI ( Aspose.Cells and Aspose.Words )
- Or use the following pip commands
pip install aspose-cells-pythonandpip install aspose.words - Moreover, Microsoft Windows or Linux based OS (see more for Cells and Words ) and for Linux check additional requirements for gcc and libpython and follow step by step instructions
Save TSV To HTML in Python - Step 1
Save HTML To DOCM in Python - Step 2
Free Online Converter for TSV to DOCM
FAQ
- How can I convert TSV to DOCM Online?Online App for TSV conversion is integrated above. To begin with, you can convert TSV files to DOCM by either dragging and dropping the file or clicking inside the white area to import the document. Once the file is uploaded, click on the 'Convert' button. After the TSV to DOCM conversion is completed, you can easily download your converted file with just one click. This will provide you with the output DOCM files.
- How long does it take to convert TSV?The online TSV to DOCM converter works fast, but the speed mainly depends on the size of the TSV file you are converting. Smaller TSV files can be rendered to DOCM format in just a few seconds. Additionally, if you have integrated the conversion code within your .NET application, the speed of the conversion process will depend on how well you have optimized your application.
- Is it safe to convert TSV to DOCM using free Aspose.Total converter?Of course! The download link of DOCM files will be available instantly after conversion. After 24 hours of uploading your files, we delete them, and the download links become inactive. Rest assured that no one has access to your files, and file conversion, including TSV, is completely safe. A free app is mainly integrated for testing purposes, allowing you to check the result before integrating the code.
- What browser should I use to convert TSV?You can utilize any modern web browser, such as Google Chrome, Firefox, Opera, or Safari, for this online conversion. However, if you're developing a desktop application, the Aspose.Total TSV Conversion API will work seamlessly.