Note Welcome to GroupDocs.Classification for .NET GroupDocs.Classification is a .NET component built to allow developers to classify texts and documents, whether simple or complex. It allows developers to use three different taxonomies: IAB (version 2), that created by the Interactive Advertising Bureau, Documents taxonomy, that created by Aspose and simple Sentiment taxonomy (Negative/Positive). For the Sentiment taxonomy Chinese language is supported. Product Description GroupDocs.Classification is a robust .NET component that lets developers to analyze text and documents without using any document-related tool to open documents or extract text....NET 2.0, such security level applies...
One of the most requested and hence actively developed features in GroupDocs.Viewer for .NET is watermarking. Watermarking allows you to protect documents that you display on the web from screen-grabbing. In GroupDocs.Viewer for .NET watermarks are implemented as customizable text that can be added over a displayed document, overlapping its content. For the first time the ability to add watermarks was implemented in GroupDocs.Viewer for .NET version 2.0. In its first implementation, the feature had a number of restrictions....NET version 2.0. In its first implementation...
GroupDocs Blog - GroupDocs Blog | Document Automation Solutions for .NET & Java Developers...The Web 2.0 era has brought consumers and organizations closer...
For GroupDocs, 2012 was a significant year marked by milestones; we’re proud and grateful to end a busy year with great achievements. With constant enhancements, we were able to prove that we’re an integral part of the document management world. In 2012, we have introduced enhanced versions of our apps with added features from time to time; created a variety of plugins for multiple platforms; integrated many different storage options with GroupDocs; introduced flexible API SDKs to help you integrate our apps to your existing applications; and were able build a strong base of valuable customers, ranging from small to mid to enterprise levels; amongst many others....that reason, we opted using Web 2.0 to bridge the platform gap. To...
Document Automation APIs to enrich .NET and Java applications to view, edit, annotate, convert, compare, e-sign, parse, split, merge, redact, or classify documents of almost all the popular file formats.... The Web 2.0 era has brought consumers and...
The following tables indicate the file formats from which GroupDocs.Parser for Java can extract data. You can use the input below to filter supported formats by extension.
Tip Can’t find your file format?
We’re here to help! Please post a request on our Free Support Forum, and our team will assist you. Word Processing Document Type Parse Document by Template Extract Text (Accurate) Extract Text (Raw) Extract Structured Text and Formatted Text Extract Text Areas Extract Metadata Extract Images Extract Containers and Attachments Parse Form Data Extract Table of Contents Scan Barcode DOC Microsoft Word Document DOT Microsoft Word Document Template DOCX Office Open XML Document DOCM Office Open XML Macro-Enabled Document DOTX Office Open XML Document Template DOTM Office Open XML Document Macro-Enabled Template TXT Plain text ODT Open Document Text OTT Open Document Text Template RTF Rich Text Format PDF Document Type Parse Document by Template Extract Text (Accurate) Extract Text (Raw) Extract Structured Text and Formatted Text Extract Text Areas Extract Metadata Extract Images Extract Containers and Attachments Parse Form Data Extract Table of Contents Scan Barcode PDF Portable Document Format File Markup Document Type Parse Document by Template Extract Text (Accurate) Extract Text (Raw) Extract Structured Text and Formatted Text Extract Text Areas Extract Metadata Extract Images Extract Containers and Attachments Parse Form Data Extract Table of Contents Scan Barcode XHTML Extensible Hypertext Markup Language File MHTML MIME HTML File MD Markdown (Formatted Text is Not supported) XML XML File Ebook Document Type Parse Document by Template Extract Text (Accurate) Extract Text (Raw) Extract Structured Text and Formatted Text Extract Text Areas Extract Metadata Extract Images Extract Containers and Attachments Parse Form Data Extract Table of Contents Scan Barcode CHM Compiled HTML Help File EPUB Digital E-Book File Format FB2 FictionBook 2....E-Book File Format FictionBook 2.0 File Mobipocket Kindle Format...