Extract table of contents Leave feedback

GroupDocs.Parser allows to extract table of contents from Microsoft Word (DOC, DOCX etc), PDF documents and Ebooks.

To extract table of contents from documents, please use the getToc method:

Iterable<TocItem> getToc();

TocItem class has the following members:

Here are the steps to extract extract table of contents from the document:

• Instantiate Parser object for the initial document;
• Call getToc method and obtain collection of TocItem objects;
• Check if collection isn’t null (table of contents  extraction is supported for the document);
• Iterate through the collection and get page index to extract a page text from the document.

The following example shows how to extract table of contents from CHM file:

// Create an instance of Parser class
try (Parser parser = new Parser(Constants.SampleChm)) {
    // Check if text extraction is supported
    if (!parser.getFeatures().isText()) {
        System.out.println("Text extraction isn't supported.");
        return;
    }
    // Check if toc extraction is supported
    if (!parser.getFeatures().isToc()) {
        System.out.println("Toc extraction isn't supported.");
        return;
    }
    // Get table of contents
    Iterable<TocItem> toc = parser.getToc();
    // Iterate over items
    for (TocItem i : toc) {
        // Print the Toc text
        System.out.println(i.getText());
        // Check if page index has a value
        if (i.getPageIndex() == null) {
            continue;
        }
        // Extract a page text
        try (TextReader reader = parser.getText(i.getPageIndex())) {
            System.out.println(reader.readToEnd());
        }
    }
}

To learn more about document data extraction features and get familiar how to extract text, images, forms and more, please refer to the advanced usage section.

You may easily run the code above and see the feature in action in our GitHub examples:

• GroupDocs.Parser for .NET examples
• GroupDocs.Parser for Java examples

Along with full featured Java library we provide simple, but powerful free Apps.

You are welcome to extract data from PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX, Emails and more with our free online Free Online Document Parser App.