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GroupDocs.Parser for .NET is a powerful parsing class library that enables developers to extract text, images, metadata, structured and formatted content, barcodes, and attachments-including ZIP archives, emails, and PDF portfolios-from over 65 document formats, including PDF, Microsoft Office (DOC, DOCX, XLS, XLSX, PPT, PPTX), OpenDocument, email (EML, MSG, PST), e-books (EPUB, FB2), images, and more.

• Extract plain text from documents in both accurate and raw modes
• Extract HTML or Markdown formatted text for fast preview
• Extract structured text and text areas with coordinates and styling
• Search text by keyword or regular expression and retrieve surrounding context
• Extract metadata, images, hyperlinks, and tables from supported formats
• Parse data from attachments and ZIP archives, including PDF portfolios and emails
• Extract barcodes from documents and document pages
• Extract data from PDF forms and detect document encoding

See the Features overview documentation topic for more details.

This API supports a broad set of document and media formats, including:

• PDF: PDF
• Images: JPG, PNG, TIFF, BMP, GIF, PSD
• Email: EML, MSG, EMLX, OST, PST
• eBook: EPUB, MOBI, AZW3, CHM, FB2
• Archives: ZIP, RAR, 7Z, TAR, BZ2, GZ

Supports 65+ formats. See the supported file formats table for the complete list.

Add the dependency via Maven or Gradle. See the Java release hub for current coordinates and repository URL.

<dependency>
  <groupId>com.groupdocs</groupId>
  <artifactId>groupdocs-metadata</artifactId>
  <version>LATEST</version>
</dependency>

See documentation and the examples in this repository for runnable samples.

## Extract Formatted Text from DOCX

## Extract Document Metadata via Java

Explore the sample projects in this repository or open documentation for more topics.

Our technical support is available to all users, including those evaluating our product. We offer assistance through our Free Support Forum and Paid Support Helpdesk. Let us know if you have any questions or issues, and we'll do our best to help you.

Product Page | Docs | Demos | API Reference | Examples | Blog | Releases | Free Support | Temporary License

• Extract plain text from any of the supported documents.
• Extract HTML or Markdown formatted text for a fast preview.
• Extract structured text.
• Extract text areas with coordinates, text style and other information.
• Search text by a keyword or regular expression. Also get text around the found word.
• Extract metadata from supported document formats.
• Get information about document images and save them.
• Extract data containers like ZIP, 7Z, RAR, TAR, GZ and BZ2 archives, PDF portfolios, emails, OST and so on.
• Extract tables from a document, either automatically or by a predefined layout.
• Extract cells of spreadsheet worksheets along with their row and column indexes.
• Extract document annotations with an author, a timestamp and a text.
• Generate page previews as images.
• Extract table of contents (ToC).
• Parse form data from PDF documents.

// create an instance of Parser class
try (Parser parser = new Parser("output.samplepdf")) {
    // extract a text into the reader
    try (TextReader reader = parser.getText()) {
        // print a text from the document
        // if text extraction isn't supported, a reader is null
        System.out.println(reader == null ? "Text extraction isn't supported" : reader.readToEnd());
    }
}

// create an instance of Parser class
try (Parser parser = new Parser("output.sampledocx")) {
    // extract metadata from the document
    Iterable<MetadataItem> metadata = parser.getMetadata();
    // check if metadata extraction is supported
    if (metadata == null) {
        System.out.println("Metatada extraction isn't supported");
    }
    // iterate over metadata items
    for (MetadataItem item : metadata) {
        // print an item name and value
        System.out.println(String.format("%s: %s", item.getName(), item.getValue()));
    }
}

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## Extract Formatted Text from DOCX

## Extract Document Metadata via Java

Explore the sample projects in this repository or open documentation for more topics.

• Extract plain text from any of the supported documents.
• Extract HTML or Markdown formatted text for a fast preview.
• Extract structured text.
• Extract text areas with coordinates, text style and other information.
• Search text by a keyword or regular expression. Also get text around the found word.
• Extract metadata from supported document formats.
• Get information about document images and save them.
• Extract data containers like ZIP, 7Z, RAR, TAR, GZ and BZ2 archives, PDF portfolios, emails, OST and so on.
• Extract tables from a document, either automatically or by a predefined layout.
• Extract cells of spreadsheet worksheets along with their row and column indexes.
• Extract document annotations with an author, a timestamp and a text.
• Generate page previews as images.
• Extract table of contents (ToC).
• Parse form data from PDF documents.

// create an instance of Parser class
try (Parser parser = new Parser("output.samplepdf")) {
    // extract a text into the reader
    try (TextReader reader = parser.getText()) {
        // print a text from the document
        // if text extraction isn't supported, a reader is null
        System.out.println(reader == null ? "Text extraction isn't supported" : reader.readToEnd());
    }
}

// create an instance of Parser class
try (Parser parser = new Parser("output.sampledocx")) {
    // extract metadata from the document
    Iterable<MetadataItem> metadata = parser.getMetadata();
    // check if metadata extraction is supported
    if (metadata == null) {
        System.out.println("Metatada extraction isn't supported");
    }
    // iterate over metadata items
    for (MetadataItem item : metadata) {
        // print an item name and value
        System.out.println(String.format("%s: %s", item.getName(), item.getValue()));
    }
}

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