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<!DOCTYPE document PUBLIC "-//APACHE//DTD Documentation V2.0//EN" "document-v20.dtd">

<document>
  <header>
    <title>Apache POI™ - Text Extraction</title>
    <authors>
      <person id="NB" name="Nick Burch" email="nick@apache.org"/>
    </authors>
  </header>
  
  <body>
    <section><title>Overview</title>
      <p>For a number of years now, Apache POI has provided basic 
       text extraction for all the project supported file formats. In 
       addition, as well as the (plain) text, these provides access to 
       the metadata associated with a given file, such as title and 
       author.</p>
      <p>For more advanced text extraction needs, including Rich Text
       extraction (such as formatting and styling), along with XML and
       HTML output, Apache POI works closely with 
       <a href="https://tika.apache.org/">Apache Tika</a> to deliver 
       POI-powered Tika Parsers for all the project supported file formats.</p>
      <p>If you are after turn-key text extraction, including the latest
       support, styles etc, you are strongly advised to make use of 
       <a href="https://tika.apache.org/">Apache Tika</a>, which builds 
       on top of POI to provide Text and Metadata extraction. If you wish
       to have something very simple and stand-alone, or you wish to make
       heavy modifications, then the POI provided text extractors documented
       below might be a better fit for your needs.</p>
    </section>

    <section><title>Common functionality</title>
     <p>All of the POI text extractors extend from
      <em>org.apache.poi.extractor.POITextExtractor</em>. This provides a common
      method across all extractors, getText(). For many cases, the text
      returned will be all you need. However, many extractors do provide
      more targeted text extraction methods, so you may wish to use
      these in some cases.</p>
     <p>All POIFS / OLE 2 based text extractors also extend from
      <em>org.apache.poi.extractor.POIOLE2TextExtractor</em>. This additionally
      provides common methods to get at the <a href="hpfs/">HPFS
      document metadata</a>.</p>
     <p>All OOXML based text extractors also extend from
      <em>org.apache.poi.POIOOXMLTextExtractor</em>. This additionally
      provides common methods to get at the OOXML metadata.</p>
    </section>

    <section><title>Text Extractor Factory</title>
     <p>POI provides a common class to select the appropriate text extractor
      for you, based on the supplied document's contents. 
      <em>ExtractorFactory</em> provides a
      similar function to WorkbookFactory. You simply pass it an
      InputStream, a File, a POIFSFileSystem or a OOXML Package. It
      figures out the correct text extractor for you, and returns it.</p>
     <p>For complete detection and text extractor auto-selection, users
      are strongly encouraged to investigate
      <a href="https://tika.apache.org/">Apache Tika</a>.</p>
    </section>

    <section><title>Excel</title>
     <p>For .xls files, there is 
      <em>org.apache.poi.hssf.extractor.ExcelExtractor</em>, which will 
      return text, optionally with formulas instead of their contents. 
      Similarly, for .xlsx files there is
      <em>org.apache.poi.xssf.extractor.XSSFExcelExtractor</em>, which 
      provides the same functionality.</p>
     <p>For those working in constrained memory footprints, there are
      two more Excel text extractors available. For .xls files, it's
      <em>org.apache.poi.hssf.extractor.EventBasedExcelExtractor</em>,
      based on the streaming EventUserModel code, and will generally
      deliver a lower memory footprint for extraction. However, it will
      have problems correctly outputting more complex formulas, as it 
      works with records as they pass, and so doesn't have access to all
      parts of complex and shared formulas. For .xlsx files the equivalent is
      <em>org.apache.poi.xssf.extractor.XSSFEventBasedExcelExtractor</em>, 
      which is based on the XSSF SAX Event codebase.</p>
    </section>

    <section><title>Word</title>
     <p>For .doc files from Word 97 - Word 2003, in scratchpad there is 
      <em>org.apache.poi.hwpf.extractor.WordExtractor</em>, which will 
      return text for your document.</p>
     <p>You can also extract simple textual content from
      older Word 6 and Word 95 files, using the scratchpad class
      <em>org.apache.poi.hwpf.extractor.Word6Extractor</em>.</p>
     <p>For .docx files, the relevant class is 
      <em>org.apache.poi.xwpf.extractor.XWPFWordExtractor</em></p>
    </section>

    <section><title>PowerPoint</title>
     <p>For .ppt and .pptx files, there is common extractor
      <em>org.apache.poi.sl.extractor.SlideShowExtractor.SlideShowExtractor</em>, which
      will return text for your slideshow, optionally restricted to just
      slides text or notes text. For .ppt you need to add the poi-scratchpad.jar
      and for .pptx the poi-ooxml.jar and its dependencies are needed</p>
    </section>

    <section><title>Publisher</title>
     <p>For .pub files, in scratchpad there is 
      <em>org.apache.poi.hpbf.extractor.PublisherExtractor</em>, which 
      will return text for your file.</p>
    </section>

    <section><title>Visio</title>
     <p>For .vsd files, in scratchpad there is 
      <em>org.apache.poi.hdgf.extractor.VisioTextExtractor</em>, which 
      will return text for your file.</p>
    </section>

    <section><title>Embedded Objects</title>
      <p>Extractors already exist for Excel, Word, PowerPoint and Visio; 
        if one of these objects is embedded into a worksheet, the ExtractorFactory class can be used to recover an extractor for it.     
      </p>
      <source>
FileInputStream fis = new FileInputStream(inputFile);
POIFSFileSystem fileSystem = new POIFSFileSystem(fis);
// Firstly, get an extractor for the Workbook
POIOLE2TextExtractor oleTextExtractor = 
   ExtractorFactory.createExtractor(fileSystem);
// Then a List of extractors for any embedded Excel, Word, PowerPoint
// or Visio objects embedded into it.
POITextExtractor[] embeddedExtractors =
   ExtractorFactory.getEmbededDocsTextExtractors(oleTextExtractor);
for (POITextExtractor textExtractor : embeddedExtractors) {
   // If the embedded object was an Excel spreadsheet.
   if (textExtractor instanceof ExcelExtractor) {
      ExcelExtractor excelExtractor = (ExcelExtractor) textExtractor;
      System.out.println(excelExtractor.getText());
   }
   // A Word Document
   else if (textExtractor instanceof WordExtractor) {
      WordExtractor wordExtractor = (WordExtractor) textExtractor;
      String[] paragraphText = wordExtractor.getParagraphText();
      for (String paragraph : paragraphText) {
         System.out.println(paragraph);
      }
      // Display the document's header and footer text
      System.out.println("Footer text: " + wordExtractor.getFooterText());
      System.out.println("Header text: " + wordExtractor.getHeaderText());
   }
   // PowerPoint Presentation.
   else if (textExtractor instanceof PowerPointExtractor) {
      PowerPointExtractor powerPointExtractor =
         (PowerPointExtractor) textExtractor;
      System.out.println("Text: " + powerPointExtractor.getText());
      System.out.println("Notes: " + powerPointExtractor.getNotes());
   }
   // Visio Drawing
   else if (textExtractor instanceof VisioTextExtractor) {
      VisioTextExtractor visioTextExtractor = 
         (VisioTextExtractor) textExtractor;
      System.out.println("Text: " + visioTextExtractor.getText());
   }
}
      </source>
    </section>
  </body>

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