Programmatically convert NSF to CSV in C# .NET applications using flexible document conversion features to customize the resultant document. Convert the complete document from one file format to other or choose selective pages of a source document based on the page numbers or page ranges and easily convert to a supported document format.
DownloadFollow these simple steps to convert NSF to CSV in C# .NET. View the converted CSV document as HTML without using any external software.
Accurately convert documents (NSF to CSV) exactly as the original file and apply text or image watermarks to the converted document pages using C# .NET.
The documents information extraction feature not only allows getting the basic information about the source document file but it also supports extracting some valuable file-format specific information such as project start and end dates of a Microsoft Project file, any printing restrictions on a PDF document, list of folders enclosed in an Outlook data file etc.
Convert popular document file formats on different operating systems such as Windows, Linux or macOS while using platforms such as Windows Azure, Mono and Xamarin.
Password protected document conversion is made easier in .NET. Just add a few lines of C# code to precisely convert a password protected Word document to PDF file without using any external software.
Using Conholdate.Total for .NET – developers can load and convert documents from various remote locations and cloud document storage resources such as Amazon S3, Microsoft Azure Blob, FTP, local disk, stream or a simple URL. You just have to specify the method to obtain remotely located document stream and then pass it on to the Converter class as a constructor.
Conholdate.Total for .NET APIs are native to Windows Forms, ASP.NET, WPF, WCF or any type of application based on .NET Framework 2.0 or later.
The NSF file format, or “Notebook Storage File,” is an open format used to store data in a notebook-style format. The format was originally developed by Lotus Software, now part of IBM, and is designed to store text, graphics, tables, and other data in a notebook-style layout. The NSF file format is similar to a combination of a spreadsheet and a text editor, allowing for both structured and unstructured data to be stored. It includes features such as the ability to link external file attachments, text formatting, and the ability to store information in multiple pages. Due to its versatility, the NSF file format is widely used in a variety of applications, including business intelligence, project management, scientific analysis, and many others. It is also used to store presentation materials such as slides, graphs, and images. The NSF file format is a popular choice for storing large amounts of data due to its compatibility with a wide range of platforms. It can be used on Windows, Mac, and Linux, as well as mobile devices such as smartphones and tablets. Although the NSF file format is not a standard, it is well supported by many popular programs such as Microsoft Excel, Apple iWork, and Adobe Acrobat. Furthermore, the format can easily be converted to other formats, such as PDF, XLSX, and HTML. This makes it a great choice for sharing and archiving documents.
LearnCSV (Comma Separated Values) is a widely-used data file format that revolutionizes the way tabular data is stored and transferred. By utilizing a simple text form, CSV files enable seamless data exchange between diverse programs, with each field of data meticulously separated by a comma. Beyond its ease of use, CSV files offer an efficient and comprehensible method of storing tabular data.
The fundamental structure of a CSV file encompasses a header row, which houses the field names for each column. Subsequently, one or more rows of data follow, with each row representing a distinct record containing data for each column. The versatility of CSV files allows for the inclusion of various data types, including text, numbers, dates, and even images, providing unparalleled flexibility in data representation.
One of the most significant advantages of CSV files is their compatibility with a wide range of programs. Renowned applications like Microsoft Excel, Google Sheets, and Text Editors effortlessly support CSV files, allowing users to conveniently open and edit them. Additionally, CSV files seamlessly integrate with popular programming languages such as Python, empowering users to perform advanced data manipulation tasks.
The simplicity and flexibility of CSV files contribute to their popularity as a reliable data storage and transfer solution. Their inherent readability and intuitive format make them an ideal choice for sharing and backing up data across different systems. Whether it’s exchanging information between business applications, performing data analysis, or archiving crucial records, CSV files emerge as a trusted and efficient tool.
Learn(Portable Document Format)
(Office 2007+ Word Document)
(Microsoft Word Template Files)
(Microsoft Word Template File )
(Microsoft Word 2007+ Template File)
(Text Document)
(Rich Text Format)
(Hyper Text Markup Language)
(Web Page Archive Format)
(Microsoft Excel Spreadsheet (Legacy))
(Open XML Workbook)
(Macro-enabled Spreadsheet)
(Excel 97 - 2003 Template)
(Excel Template)
(Excel Macro-Enabled Template)
(Comma Seperated Values)
(Data Interchange Format)
(Microsoft PowerPoint 97-2003)
(Open XML presentation Format)
(PowerPoint Slide Show)
(PowerPoint Slide Show)
(Microsoft PowerPoint Template Files)
(Microsoft PowerPoint Template Presentation)
(Microsoft PowerPoint Template File)
(OpenDocument Text File Format)
(OpenDocument Standard Format)
(OpenDocument Standard Format)
(OpenDocument Presentation Format)
(OpenDocument Spreadsheet)
(Windows Compressed Enhanced Metafile)
(Compressed Windows Metafile)
(Compressed Scalable Vector Graphics)
(LaTeX Source Document)
(DICOM Image)
(Windows Metafile)
(Bitmap Image File)
(Portable Network Graphic)
(Graphical Interchange Format)
(Joint Photographic Expert Group Image)
(Tagged Image File Format)