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# Apache POI - Text Extraction

### Overview

Apache POI provides text extraction for all the supported file formats. In addition, it provides access to the metadata associated with a given file, such as title and author.

In addition to providing direct text extraction classes, POI works closely with the Apache Tika text extraction library. Users may wish to simply utilise the functionality provided by Tika.

### Common functionality

All of the POI text extractors extend from org.apache.poi.POITextExtractor. 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 targetted text extraction methods, so you may wish to use these in some cases.

All POIFS / OLE 2 based text extractors also extend from org.apache.poi.POIOLE2TextExtractor. This additionally provides common methods to get at the HPFS document metadata.

All OOXML based text extractors (available in POI 3.5 and later) also extend from org.apache.poi.POIOOXMLTextExtractor. This additionally provides common methods to get at the OOXML metadata.

### Text Extractor Factory - POI 3.5 or later

A new class in POI 3.5, org.apache.poi.extractor.ExtractorFactory 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.

### Excel

For .xls files, there is org.apache.poi.hssf.extractor.ExcelExtractor, which will return text, optionally with formulas instead of their contents. Those using POI 3.5 can also use org.apache.poi.xssf.extractor.XSSFExcelExtractor, to perform a similar task for .xlsx files.

In addition, there is a second text extractor for .xls files, org.apache.poi.hssf.extractor.EventBasedExcelExtractor. This is 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.

### Word

For .doc files from Word 97 - Word 2003, in scratchpad there is org.apache.poi.hwpf.extractor.WordExtractor, which will return text for your document.

Those using POI 3.7 can also extract simple textual content from older Word 6 and Word 95 files, using the scratchpad class org.apache.poi.hwpf.extractor.Word6Extractor.

Since POI 3.5, it is possible to use org.apache.poi.xwpf.extractor.XPFFWordExtractor, to perform text extraction for .docx files.

### PowerPoint

For .ppt files, in scratchpad there is org.apache.poi.hslf.extractor.PowerPointExtractor, which will return text for your slideshow, optionally restricted to just slides text or notes text. Those using POI 3.5 can also use org.apache.poi.xslf.extractor.XSLFPowerPointExtractor, to perform a similar task for .pptx files.

### Publisher

For .pub files, in scratchpad there is org.apache.poi.hpbf.extractor.PublisherExtractor, which will return text for your file.

### Visio

For .vsd files, in scratchpad there is org.apache.poi.hdgf.extractor.VisioTextExtractor, which will return text for your file.

### Embedded Objects

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.

    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());
       }
    }

by Nick Burch