Extract text in Raw Mode Leave feedback

GroupDocs.Parser provides the functionality to extract text from documents.

The Raw mode is the fastest text extraction mode: the performance is the best possible.

Raw mode usually retrieves text in worse quality than Accurate mode, but in some cases performance is more important than quality.

You can extract the whole document text or only the text of a document page.

To extract text in Raw mode, pass a TextOptions object created with true to the getText method:

parser.getText(new groupdocs.TextOptions(true));            // the whole document
parser.getText(pageIndex, new groupdocs.TextOptions(true)); // a single page (zero-based index)

The methods return an instance of the TextReader class with the extracted text, or null if text extraction isn’t supported for the document. To retrieve the total number of document pages, use the getDocumentInfo method (see below).

Warning

In Raw mode use getRawPageCount() of the document info instead of getPageCount() to avoid extra calculations.

TextReader has the following members:

Here are the steps to extract raw text from the document:

• Instantiate the Parser object for the initial document;
• Instantiate the TextOptions object with the true parameter;
• Call the getText method with TextOptions and obtain the TextReader object;
• Check if reader isn’t null (text extraction is supported for the document);
• Read the text from reader.

The following example shows how to extract raw text from a document:

const groupdocs = require('@groupdocs/groupdocs.parser');

// Create an instance of Parser class
const parser = new groupdocs.Parser('sample.pdf');
try {
  // Extract a raw text into the reader
  const reader = parser.getText(new groupdocs.TextOptions(true));
  // If text extraction isn't supported, a reader is null
  if (reader == null) {
    console.log("Text extraction isn't supported");
  } else {
    try {
      // Print a text from the document
      console.log(reader.readToEnd());
    } finally {
      reader.close();
    }
  }
} finally {
  parser.close();
}
process.exit(0);

Here are the steps to extract raw text from a document page:

• Instantiate the Parser object for the initial document;
• Call parser.getFeatures().isText() to check if text extraction is supported for the document;
• Call the getDocumentInfo method;
• Use getRawPageCount() instead of getPageCount() to avoid extra calculations;
• Call the getText(pageIndex, options) method with the page index and a TextOptions object created with true, and obtain the TextReader object;
• Read the text from reader.

The following example shows how to extract raw text from document pages:

const groupdocs = require('@groupdocs/groupdocs.parser');

function run() {
  // Create an instance of Parser class
  const parser = new groupdocs.Parser('sample.pdf');
  try {
    // Check if the document supports text extraction
    if (!parser.getFeatures().isText()) {
      console.log("Document doesn't support text extraction.");
      return;
    }
    // Get the document info
    const documentInfo = parser.getDocumentInfo();
    // Check if the document has pages
    if (documentInfo == null || documentInfo.getRawPageCount() === 0) {
      console.log('Document has no pages.');
      return;
    }
    // Iterate over pages
    for (let p = 0; p < documentInfo.getRawPageCount(); p++) {
      // Print a page number
      console.log(`Page ${p + 1}/${documentInfo.getRawPageCount()}`);
      // Extract a raw text into the reader
      // We ignore null-checking as we have checked text extraction feature support earlier
      const reader = parser.getText(p, new groupdocs.TextOptions(true));
      try {
        // Print a text from the document page
        console.log(reader.readToEnd());
      } finally {
        reader.close();
      }
    }
  } finally {
    parser.close();
  }
}

run();
process.exit(0);

Along with the full-featured 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 Document Parser App.