Convert RTF to CSV via Java or Online App

Add Watermark to RTF & Convert to CSV

Accurately convert RTF documents to CSV in Java, exactly as the original source file and apply text or image watermark to CSV document pages.

Create new instance of Converter class to convert RTF document
Instantiate the proper ConvertOptions class (PdfConvertOptions, WordProcessingConvertOptions, SpreadsheetConvertOptions)
Create new instance of WatermarkOptions class
Specify watermark properties (color, width, height, text, image etc)
Set Watermark property of the ConvertOptions instance
Call Convert method of Converter class instance for RTF to CSV conversion

Convert Remote RTF Documents

Conholdate.Total for Java simplifies the process of loading and converting RTF documents from remote locations and cloud storage resources. Access files from Amazon S3, Microsoft Azure Blob, FTP, and more using a stream or URL. Pass it to the Converter class and let our RTF file processing API do the rest.

Conholdate.Total for Java APIs support multiple operating systems including Windows J2SE, Linux (Ubuntu, OpenSUSE, CentOS, and more), and macOS. It can be used with various Java applications such as Eclipse, IntelliJ NetBeans, IntelliJ IDEA, and Visual Studio Code.

Convert Password Protected RTF to CSV

Quickly load and convert password protected RTF documents to RTF within your Java based applications – all you need is just a few lines of code. Developers can also transform Word (DOC or DOCX) document into other formats like PDF, Web (HTML, MHTML), Images (JPG, PNG TIFF, BMP), Markdown and many others without any need to install Microsoft Word.

Create new instance of Converter class and pass source document path
Instantiate the proper ConvertOptions class e.g. (PdfConvertOptions, WordProcessingConvertOptions, SpreadsheetConvertOptions etc.)
Call Convert method of Converter class instance and pass filename for the converted document

Extract RTF Document Information

Conholdate.Total document information extraction feature not only provides basic file information of source document (RTF), but also extracts valuable format-specific details. For instance, it can extract project start and end dates from a Microsoft Project file, printing restrictions from a PDF document, folder lists from an Outlook data file, and layer and layout information from a CAD document. With this feature, users can quickly and easily access crucial information from a variety of file types.

Conholdate.Total for Java APIs also offer the auto-detection feature for unknown file format extensions of source documents in byte stream format, making it a convenient tool for efficient document conversion.

Convert Specific RTF Pages to CSV in Java

Java document processing API allows you to choose selected pages from the source document and accurately convert to the supported document format. The code example below shows how to convert the 1st and 4th pages of a RTF document to the resultant CSV file.

Create a new instance of Converter class and load input (RTF) document
Instantiate the proper ConvertOptions class e.g. (PdfConvertOptions, WordProcessingConvertOptions, SpreadsheetConvertOptions etc)
Set setPages property of the ConvertOptions instance and mention specific page number to be converted
Call Convert method of Converter class instance and pass filename (CSV) for the converted document

Cache Converted CSV Results

The document conversion process can sometimes result in larger file sizes and longer conversion times. To address this, Conholdate.Total’s document conversion library offers a caching feature that optimizes the repetitive conversion process. By enabling the ICache interface, developers can work with custom cache implementations using the extension point to control caching as desired.

The conversion result is saved to the local drive by default but any type of cache storage can be supported by implementing the appropriate interfaces such as Amazon S3, Dropbox, Google Drive, Windows Azure, Reddis or any other.

Frequently Asked Questions

How to get started with Conholdate.Total for Java APIs to convert RTF to CSV?

The Conholdate.Total for Java platform provides various options and demos to convert Word processing file formats projects using GroupDocs or Aspose code examples. Java programmers can easily utilize GroupDocs.Conversion examples for both front-end and backend implementation or they can create their own projects with RTF to CSV conversion features within Java based applications.

Which APIs are used for RTF to CSV conversion in the code snippet?

Conholdate.Total for Java includes all Java APIs offered by Aspose and GroupDocs. Developers can use different APIs for converting RTF to CSV however; for the sake of simplicity, we have demonstrated code snippets using GroupDocs.Conversion for Java.

What file formats are supported by Conholdate.Total for Java?

Conholdate.Total for Java integrates APIs from Aspose and GroupDocs to enable Java programmers to perform various document manipulation actions on a wide range of file formats including Word, Excel, PDF, PowerPoint, Visio, HTML and images in Java & J2SE based applications.

Can I convert password-protected RTF documents to CSV using this API?

Absolutely! The Conholdate.Total API seamlessly handles the conversion of password-protected RTF documents. During the conversion process, you can simply provide the password using specific load options when setting up the converter. This ensures secure and efficient conversion even for encrypted RTF files.

Can I convert only certain pages from a RTF document to CSV in Java?

Yes, absolutely! By using conversion options, you can efficiently convert whole RTF document or only the selected pages to CSV format.

Can I customize the output CSV file when converting from RTF documents?

Yes, you certainly can! Conholdate.Total API empowers you to go beyond basic conversion, offering customization options for your CSV files. Refine image quality, add security watermarks, and explore other features to manipulate the appearance of the output CSV according to your exact needs.

What is RTF file format?

RTF (Rich Text Format) is a document file format developed by Microsoft for cross-platform document interchange that can be used with a variety of word processing applications. It supports features such as text formatting (including font types, sizes, and colors), images, and page layout capabilities. RTF files are stored as plain text, which makes them compatible with virtually any application that supports text files. RTF files are popular for their flexibility and easy readability, as well as their cross-platform compatibility. They are commonly used for sharing documents between different word processing applications, as well as for sending documents as email attachments. The RTF format also offers an advantage in preserving the original formatting of a document. For example, if a word processor changes the default font, the RTF file will continue to display the original font. RTF files are relatively small and fast to load, and can be compressed when sending over the internet. RTF files are commonly used in business and academic settings, and are also a popular choice for online publishing. RTF is also used by many online writing and blogging tools, such as WordPress.

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What is CSV file format?

CSV (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.

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