Convert DOC to CSV via Python or Online App
DOC to CSV conversion in your Python applications without installing Microsoft Word® or Excel
For a Python developer, who is trying to add a DOC to CSV conversion feature within application. Aspose.Total for Python via .NET API can help to automate the conversion process. It’s a full package of various APIs dealing different formats.
It’s mainly in two steps. Firstly use Aspose.Words for Python via .NET API to convert DOC file to HTML. After that by using Excel Python API Aspose.Cells for Python via .NET , save the created HTML into desired Microsoft Excel format.
How to Convert DOC to CSV in Python
- Step 1 Open the source DOC file using Document class
- Save DOC file to HTML by using Save method by providing the file name and desired directory path
- Step 2 Load HTML file with an instance of Workbook class with file and LoadOptions as parameters
- Call the
save
method while specifying output CSV file path. So your DOC file is converted to CSV at the specified path
Conversion Requirements
- For DOC to CSV conversion, Python 3.5 or later is required
- Reference APIs within the project directly from PyPI ( Aspose.Words and Aspose.Cells )
- Or use the following pip commands
pip install aspose.words
andpip install aspose-cells-python
- Moreover, Microsoft Windows or Linux based OS (see more for Words and Cells ) and for Linux check additional requirements for gcc and libpython and follow step by step instructions
Save DOC To HTML in Python - Step 1
Save HTML To CSV in Python - Step 2
Free Online Converter for DOC to CSV
FAQ
- How can I convert DOC to CSV Online?Above, you'll find an integrated online app for DOC conversion. To get started, simply add your DOC file by dragging and dropping it into the designated white area, or by clicking inside the area to import the document. Once your DOC file is uploaded, click the "Convert" button to begin the DOC to CSV conversion process. When the conversion is complete, you can instantly download your newly converted CSV file with just one click.
- How long does it take to convert DOC?The online converter we offer works quickly, but its performance primarily depends on the size of your DOC file. Smaller DOC files can be converted to CSV in just a few seconds. If you're integrating the conversion code within a .NET application, the conversion speed will depend on how well your application has been optimized for this process.
- Is it safe to convert DOC to CSV using free Aspose.Total converter?Of course! This online converter ensures the safety of your files, including DOC file conversions. Your uploaded files are deleted after 24 hours, and the download links will not be accessible after this time period. Rest assured that no one has access to your files. Above free app is for testing purposes so that you can check the result before integrating the code.
- What browser should I use to convert DOC?The online DOC to CSV converter can be used on any modern browser such as Google Chrome, Firefox, Opera, and Safari. However, if you are developing a desktop application, the Aspose.Total DOC Conversion API can provide a smooth and reliable solution for your needs.
Explore DOC Conversion Options with Python
What is DOC File Format?
The Microsoft Word Binary File Format (DOC) is a proprietary document file format employed by Microsoft Office Word. It represents a document structure that is independent of any specific computer architecture or operating system. The DOC format serves as a container file, utilizing a binary format to store various types of data, including formatted text, images, charts, and more. The binary nature of the DOC format renders it non-human-readable, but there exist several programs, such as Microsoft Word and LibreOffice, that can both read from and write to DOC files.
The DOC format was initially introduced in Word for Windows 2.0 back in 1987. It has undergone several revisions since then, with the most recent iteration being the Office Open XML format introduced in Office 2007. One of the key advantages of the DOC format lies in its compatibility with Microsoft Word, one of the most widely utilized word processing applications globally. This compatibility allows users to create and modify documents using Microsoft Word and conveniently share them with others who also utilize the application. Furthermore, many other word processing applications possess the capability to read from and write to the DOC format, making it a versatile choice for document sharing purposes.
The widespread adoption of the DOC format stems from its integration with Microsoft Word, providing users with a robust and feature-rich environment for creating and managing documents. The format’s flexibility extends beyond Microsoft Word, enabling users to work with DOC files using alternative word processing software. This versatility ensures seamless document collaboration and interchangeability among users, regardless of their chosen word processing application.
What is CSV File Format?
A CSV (Comma-Separated Values) file is a commonly used format for storing tabular data, resembling a spreadsheet or database. It consists of data separated by commas, where each row represents a record. CSV files can be opened in text editors like Microsoft Notepad or Apple TextEdit, as well as spreadsheet programs such as Microsoft Excel or Apple Numbers.
When opened in a text editor, CSV data is displayed in a table format. Columns are separated by commas, and each row is separated by a new line. The first row, known as the header row, contains column names.
CSV files allow for easy data exchange between different applications. Data can be exported from spreadsheet programs like Excel or Numbers and saved in a CSV format. Similarly, CSV files can be imported into these programs, allowing data to be transferred from one system to another.
CSV files offer flexibility and compatibility due to their simple and universal structure. They are widely used for data migration, sharing information across platforms, and integrating data from various sources. The straightforward nature of CSV files makes them accessible for data manipulation, analysis, and processing by both humans and computer systems.