Learn how to protect, inspect, and manage document passwords for PDF, Word, Excel, and PowerPoint files using GroupDocs.Merger for Python via .NET....Conversion Product Solution GroupDocs.Viewer Product Solution GroupDocs...
Load from local disc GroupDocs.Redaction.Redactor class is a main class in Redaction API, providing functionality to open a document. When document is located on the local disk, you can pass its path to *Redactor *class constructor.
The following example demonstrates how to open a document from local disc:
const redaction = require('@groupdocs/groupdocs.redaction'); const redactor = new redaction.Redactor('sample.docx'); try { // Here we can use document instance to perform redactions redactor....Conversion Product Solution GroupDocs.Viewer Product Solution GroupDocs...
This article explains how to load password-protected PDF, Word, Excel, PowerPoint documents when using GroupDocs.Merger for .NET....Conversion Product Solution GroupDocs.Viewer Product Solution GroupDocs...
Practical use cases and real-world examples demonstrating how to use GroupDocs.Comparison for Java in various scenarios, including Excel spreadsheet comparison and comparison of password-protected documents....Conversion Product Solution GroupDocs.Viewer Product Solution GroupDocs...
A Node.js via Java metadata API can be effectively used in removing, updating and reading metadata in a variety of formats. It is very effective in removing metadata from photos. Supporting iptc metadata, exif metadata and xmp metadata....Conversion Product Solution GroupDocs.Viewer Product Solution GroupDocs...
Learn how to set the author name for revisions in the result using GroupDocs.Comparison for Python via .NET....Total Product Family GroupDocs.Viewer Product Solution GroupDocs...
Learn how to compare variable, built-in, and custom document properties using GroupDocs.Comparison for Python via .NET....Total Product Family GroupDocs.Viewer Product Solution GroupDocs...
Simple IAB-2 text classification Call Classify method with a text as the first parameter to perform classification. Default taxonomy (IAB-2) and bestClassesCount (1) will be used.
var response = classifier.Classify("Medicine is an important part of our lifes"); Console.WriteLine(response.BestClassName, response.BestClassProbability); Raw text classification with Documents taxonomy and 2 best classes to return Taxonomy, bestClassesCount and precisionRecallBalance could also be specified:
var response = classifier.Classify("Medicine is an important part of our lifes", 2, Taxonomy....Conversion Product Solution GroupDocs.Viewer Product Solution GroupDocs...