Read data from a Word document using node.js
There are a fair number of npm components which can extract text from Word .doc files, but they all appear to require some external helper program, and involve either spawning a process or communicating with a persistent one. That raises the installation and deployment burden as well as the runtime one.
This module is intended to provide a much faster way of reading the text from a Word file, without leaving the node.js environment.
yarn add word-extractor
# Or using npm...
npm install word-extractor
var WordExtractor = require("word-extractor");
var extractor = new WordExtractor();
var extracted = extractor.extract("file.doc");
extracted.then(function(doc) {
console.log(doc.getBody());
});
The object returned from the extract() method is a promise that resolves to a document object, which then provides several views onto different parts of the document contents.
WordExtractor#extract(file)
Main method to open a Word file and retrieve the data. Returns a promise which resolves to a Document.
Document#getBody()
Retrieves the content text from a Word document. This will handle UNICODE characters correctly, so if there are accented or non-Latin-1 characters present in the document, they'll show as is in the returned string.
Document#getFootnotes()
Retrieves the footnote text from a Word document. This will handle UNICODE characters correctly, so if there are accented or non-Latin-1 characters present in the document, they'll show as is in the returned string.
Document#getEndnotes()
Retrieves the endnote text from a Word document. This will handle UNICODE characters correctly, so if there are accented or non-Latin-1 characters present in the document, they'll show as is in the returned string.
Document#getHeaders()
Retrieves the header and footer text from a Word document. This will handle UNICODE characters correctly, so if there are accented or non-Latin-1 characters present in the document, they'll show as is in the returned string.
Document#getAnnotations()
Retrieves the comment bubble text from a Word document. This will handle UNICODE characters correctly, so if there are accented or non-Latin-1 characters present in the document, they'll show as is in the returned string.
Copyright (c) 2016-2019. Stuart Watt.
Licensed under the MIT License.