Aspose.Total for .NET is a comprehensive suite of .NET components that enables developers to easily add powerful document processing features to their applications. It includes Aspose.Words for .NET, a powerful word processing API, and Aspose.Cells for .NET, a spreadsheet programming API. With these two components, developers can quickly and easily add RTF to CSV conversion features to their .NET, C#, ASP.NET, and VB.NET applications.
The process of converting RTF to CSV with Aspose.Total for .NET is simple and straightforward. First, developers can use Aspose.Words for .NET to export RTF to HTML. This API provides a wide range of features for manipulating and converting documents, including the ability to convert RTF to HTML. After that, developers can use Aspose.Cells for .NET to convert HTML to CSV. This API provides a comprehensive set of features for working with spreadsheets, including the ability to convert HTML to CSV.
Overall, Aspose.Total for .NET makes it easy for developers to add powerful document processing features to their applications. With its two components, Aspose.Words for .NET and Aspose.Cells for .NET, developers can quickly and easily add RTF to CSV conversion features to their .NET, C#, ASP.NET, and VB.NET applications. This makes it easy to create powerful applications that can process and convert documents with ease.
.NET API to Convert RTF to CSV
Install from command line as
nuget install Aspose.Total or via Package Manager Console of Visual Studio with
Alternatively, get the offline MSI installer or DLLs in a ZIP file from downloads .
Free Online Converter for RTF to CSV
Load RTF Document from Stream via C#
Aspose.Words for .NET also allows you to load RTF document via stream. To open a document from a stream, simply pass a stream object that contains the document into the Document constructor. The following code example shows how to open a document from a stream:
Add Custom Properties in CSV File via C#
While converting RTF to CSV, Aspose.Cells for .NET enables you to add custom properties in your CSV documents. In order to add a custom property, you can use Add method for the CustomDocumentPropertyCollection class. The Add method adds the property to the Excel file and returns a reference for the new document property as an Aspose.Cells.Properties.DocumentProperty object.
- How can I convert RTF to CSV Online?Online App for RTF conversion is integrated above. Firstly, you need to add RTF file for conversion by drag & drop or click inside the white area to import the document. Then click the Convert button. When RTF to CSV conversion is completed, you can download your converted file. So You will get output CSV files with just one click.
- How long does it take to convert RTF?This online converter works fast but mainly depends on the size of RTF file. You can render small size RTF file to CSV in a few seconds. Moreover, If you have integrated the conversion code within .NET application, It depends on how you have optimized your application for conversion process.
- Is it safe to convert RTF to CSV using free Aspose.Total converter?Of course! The download link of CSV files will be available instantly after conversion. We delete uploaded files after 24 hours and the download links will stop working after this time period. No one has access to your files. File conversion (including RTF) is absolutely safe. Mainly free app is integrated for the purpose of testing so that one can check the result before integrating the code.
- What browser should I use to convert RTF?You can use any modern browser for this online conversion, for example, Google Chrome, Firefox, Opera, Safari. But in case you are developing a Desktop application. Aspose.Total RTF Conversion API will work smooth.
Explore RTF Conversion Options with .NET
What is RTF File Format?
The RTF (Rich Text Format) file format is a versatile and widely supported file format for storing text documents with formatting. It was developed by Microsoft in the late 1980s as a cross-platform format that could be easily exchanged between different word processing applications.
RTF files are typically saved with the .rtf file extension and can be opened and edited by various text editors and word processing software, including Microsoft Word, Google Docs, and LibreOffice. The format allows for the inclusion of various formatting elements, such as font styles, sizes, colors, paragraphs, tables, and images.
One of the key advantages of RTF is its platform independence, which means that an RTF file created on one operating system can be opened and rendered correctly on another without losing formatting. This makes it a preferred choice for document exchange and collaboration.
RTF files use a plain-text formatting syntax, which means that the files are human-readable and can be modified with a text editor if needed. However, RTF files can be quite large in size compared to other formats like plain text or Markdown, as they store formatting information explicitly.
While RTF is primarily used for text documents, it can also support the embedding of other types of files, such as images and objects, within the document. This allows for the creation of more complex and visually appealing documents.
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.