Not all metadata properties extracted from a file are marked with tags. Some file formats and metadata standards allow adding fully custom properties that can’t be properly tagged by the library since their purpose is not clearly defined in the appropriate format/standard specification. In such cases, you can use the name of the property to locate and remove it. The following example demonstrates some advanced usage scenarios of the GroupDocs.Metadata search engine allowing to remove metadata properties....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
This article explains how to provide advanced verification of Text electronic signatures with GroupDocs.Signature API....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
This article explains how to specify encoding when loading documents with GroupDocs.Viewer within your .NET applications....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
This article explains how to load password-protected document while using GroupDocs. Watermarks Java API....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
Add a watermark to the images embedded inside a document using GroupDocs.Watermark for Python via .NET....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
Introduction to GroupDocs.Signature for Python via .NET - what is it and why to use...Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
GroupDocs.Metadata for Python via .NET lets you read basic file information — format, extension, MIME type, page count, size, and encryption state....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
GroupDocs.Watermark for .NET supports any 32-bit or 64-bit operating system where .NET or Mono framework is installed...Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...
OCR support means the ability to connect an external module (library) for the recognition of printed text (optical character recognition, OCR) on images, either separate or embedded in documents.
To connect OCR, you need to implement the IOcrConnector interface in the client code.
The following example demonstrates how to implement the OCR connector using com.aspose.ocr library for text recognition in images.
const indexFolder = 'c:/MyIndex/'; const documentsFolder = 'c:/MyDocuments/'; const query = 'Einstein'; // Creating an index const index = new groupdocs....Signature Product Solution GroupDocs.Assembly Product Solution GroupDocs...