Reading MOV format-specific properties The Groupdocs.Metadata API supports extracting QuickTime atoms from a MOV video. The atom is the basic data unit in any QuickTime file. Please find more information on QuickTime atoms in the official specification: https://developer.apple.com/library/archive/documentation/QuickTime/QTFF/QTFFPreface/qtffPreface.html
The following are the steps to extract QuickTime atoms from a MOV video.
Load a MOV video Get the root metadata package Extract the native metadata package using MovRootPackage.MovPackage Read the QuickTime atoms AdvancedUsage....Products GroupDocs.Total Product Family GroupDocs.Viewer Product...Solution GroupDocs.Annotation Product Solution GroupDocs.Conversion...
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Note In this article, we will use Groupdocs.Assembly to generate a Single Row Image report in Email Document format. Single Row Image in Email Document Note This feature is supported by version 17.8.0 or greater Reporting Requirement As a report developer, you are required to represent information of first single manager with the following key requirements:
Report must be in .eml or .msg format It must add email recipient, css and subject of the email Report must show image of the manager It must show Name and contact number of customer Adding Syntax to be evaluated by Groupdocs....Products GroupDocs.Total Product Family GroupDocs.Viewer Product...Solution GroupDocs.Annotation Product Solution GroupDocs.Conversion...
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Using the Groupdocs.Metadata search engine you can extract desired metadata properties from files of different types. You don’t need to worry about the exact file format and metadata standards it can deal with. The same code will work for all supported formats in the same way. Most commonly used metadata properties are marked with tags that allow searching them across all supported files in various metadata packages. All tags defined in Groupdocs....Products GroupDocs.Total Product Family GroupDocs.Viewer Product...Solution GroupDocs.Annotation Product Solution GroupDocs.Conversion...
This article demonstrates 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...Products GroupDocs.Total Product Family GroupDocs.Viewer Product...Solution GroupDocs.Annotation Product Solution GroupDocs.Conversion...