RAD PDF vs. Adobe PDF Services API

Enhance your website's capabilities with RAD PDF, an installation-free solution for PDF editing, form filling, redaction, signing, viewing, and much more! Designed as a user-friendly library/WebControl that works seamlessly with .NET 3.5+, .NET Core, and .NET 5+, RAD PDF is compatible with various ASP.NET frameworks such as MVC, Razor, Blazor, and WebForms. This powerful tool supports 99% of internet browsers across platforms including Linux, Mac OS X, Microsoft Windows, and mobile devices, eliminating the need for plugins or Adobe Reader. More than just a PDF to HTML converter, RAD PDF fully supports essential PDF features such as annotations, bookmarks, form fields, and page labels. With sophisticated PDF options, users can selectively enable or disable features not accessible through Adobe Acrobat Reader, such as restricting PDF download while still permitting online viewing. Moreover, RAD PDF allows users to fill out and save PDF form fields directly through their web browsers, streamlining the process without requiring any software installation. By integrating directly with ASP.NET, RAD PDF empowers your web application to collect input data, create tailored workflows, and offer an intuitive graphical user interface for virtually any online PDF interaction you can envision! Experience the convenience of RAD PDF and elevate your website's PDF handling capabilities today!

Create a PDF from Microsoft Office documents, protect sensitive information, and easily convert it to multiple formats. By programmatically adjusting documents, you can reorder, insert, and rotate pages while also reducing file sizes. Leverage the cloud-based APIs that drive Adobe's user-friendly applications to deliver scalable and secure solutions effectively. You can extract text, images, tables, and other elements from both native and scanned PDF files, resulting in a well-organized JSON file. The PDF Extract API employs sophisticated AI technology to accurately identify text components and understand the natural reading order of various elements, including headings, lists, and paragraphs that may span multiple columns or pages. Furthermore, it captures font styles and metadata, recognizing attributes such as bold and italic text along with their locations within the PDF. The extracted data is structured in a JSON format, whereas tables can be provided in CSV or XLSX formats, and images are saved as PNG files. This all-encompassing method guarantees that users can efficiently handle and modify their PDF documents while maintaining critical data integrity, ensuring a seamless experience throughout the process. Moreover, the ability to manipulate and convert files not only enhances productivity but also streamlines workflows for various professional applications.