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  1. Password-protected documents | GroupDocs

    GroupDocs.Parser provides the functionality To open the password-protected documents. The following are the steps To work with password protected documents. Instantiate the LoadOptions object; Set password in LoadOptions(String) construcTor; Create Parser object and call any method. The following code sample shows how To process password protected documents. try { String password = "123456"; // Create an instance of Parser class with the password: try (Parser parser = new Parser(Constants.SamplePassword, new LoadOptions(password))) { // Check if text extraction is supported if (!...data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more...

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  2. HTML | GroupDocs

    This article explains that how To extract HTML formatted text from document page in Java....data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more...

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  3. Working with metadata in PNG images | GroupDocs

    Reading PNG metadata properties The GroupDocs.Metadata API supports extracting format-specific information from PNG images. The following are the steps To read the native PNG metadata. Load a PNG image Get the root metadata package Extract the native metadata package using PngRootPackage.PngPackage Read the PNG metadata properties AdvancedUsage.ManagingMetadataForSpecificFormats.Image.Png.PngReadTextChunks using (Metadata metadata = new Metadata(Constants.InputPng)) { var root = metadata.GetRootPackage(); foreach (var chunk in root.PngPackage.TextChunks) { Console.WriteLine(chunk.Keyword); Console.WriteLine(chunk.Text); var compressedChunk = chunk as PngCompressedTextChunk; if (compressedChunk !...metadata of PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, emails, images...

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  4. Find metadata properties | GroupDocs

    With GroupDocs.Metadata for Python via .NET you can search metadata and extract the properties you need from Pdf, DOCX, PPTX, XLSX, images, audio, video and many other file types using simple Python predicates....metadata of PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, emails, images...

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  5. Extract text from documents | GroupDocs

    Learn how To extract text from Pdf, Word, Excel, PowerPoint, and 50+ document formats using GroupDocs.Parser for .NET. Simple C# code examples for extract text from Pdf C# scenarios....allows to extract text from PDF, Emails, Ebooks, Microsoft Office...

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  6. Extract metadata from documents | GroupDocs

    Learn how To extract metadata from Pdf, Word, Excel, PowerPoint and 50+ document formats using GroupDocs.Parser for .NET. Get document properties like author, title, creation date in C#....documents of various formats: PDF, Emails, Ebooks, Microsoft Office:...

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  7. Extract images from Microsoft Office Excel spre...

    This article explains that how To extract images from Microsoft Office Excel (.xls, .xlsx) spreadsheets....data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more...

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  8. Handle loading of external resources documents ...

    GroupDocs.Parser provides the functionality To handle loading of HTML external resources. Here are the steps To handle loading of HTML external resources. Instantiate the ParserSettings object and pass External Resource Handler; Create Parser object and call GetImages method. The following code sample shows how To handle loading of HTML external resources. // Create an instance of ParserSettings To pass External Resource Handler ParserSettings settings = new ParserSettings(new Handler()); // Create an instance of Parser class To generate spreadsheet page previews try (Parser parser = new Parser(Constants....data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more...

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  9. Extract highlights | GroupDocs

    This article explains that how To extract highlights from documents in Java....data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more...

    docs.groupdocs.com/parser/java/extract-highlights/
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  10. Extract highlights | GroupDocs

    This article explains that how To extract highlights from documents....data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more...

    docs.groupdocs.com/parser/net/extract-highlights/
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