Can I read PDF or Word Docs with Node.js?

问题:

I can't find any packages to do this. I know PHP has a ton of libraries for PDFs (like http://www.fpdf.org/) but anything for Node?

回答1:

You can easily convert one into another, or use for example a .doc template to generate a .pdf file, but you will probably want to use an existing web service for this task.

This can be done using the services of Livedocx for example

To use this service from node, see node-livedocx (Disclaimer: I am the author of this node module)

回答2:

textract is a great lib that supports PDFs, Doc, Docx, etc.

回答3:

Looks like there's a few for pdf, but I didn't find any for Word.

CPU bound processing like that isn't really Node's strong point anyway (i.e. you get no additional benefits using node to do it over any other language). A pragmatic approach would be to find a good tool and utilise it from Node.

I have heard good things around the office about docsplit http://documentcloud.github.com/docsplit/

While it's not Node, you could easily invoke it from Node with http://nodejs.org/docs/latest/api/all.html#child_process.exec

回答4:

I would suggest looking into unoconv for your initial conversion, this uses LibreOffice or OpenOffice for the actual conversion. Which adds some overhead.

I'd setup a few workers with all the necessities setup, and use a request/response queue for handling the conversion... (may want to look into kue or zmq)

In general this is a CPU bound and heavy task that should be offloaded... Pandoc and others specifically mention .docx, not .doc so they may or may not be options as well.

---

Note: I know this question is old, just wanted to provide a current answer for others coming across this.

回答5:

For parsing pdf files you can use pdf2json node module

It allows you to convert pdf file to json as well as to raw text data.

回答6:

Another good option if you only need to convert from Word documents is Mammoth.js.

Mammoth is designed to convert .docx documents, such as those created by Microsoft Word, and convert them to HTML. Mammoth aims to produce simple and clean HTML by using semantic information in the document, and ignoring other details. For instance, Mammoth converts any paragraph with the style Heading 1 to h1 elements, rather than attempting to exactly copy the styling (font, text size, colour, etc.) of the heading.

There's a large mismatch between the structure used by .docx and the structure of HTML, meaning that the conversion is unlikely to be perfect for more complicated documents. Mammoth works best if you only use styles to semantically mark up your document.

回答7:

you can use pdf-text for pdf files. it will extract text from a pdf into an array of text 'chunks'. Useful for doing fuzzy parsing on structured pdf text.

var pdfText = require('pdf-text')
var pathToPdf = __dirname + "/info.pdf"


pdfText(pathToPdf, function(err, chunks) {
  //chunks is an array of strings  
  //loosely corresponding to text objects within the pdf 
  //for a more concrete example, view the test file in this repo 
})

var fs = require('fs')
var buffer = fs.readFileSync(pathToPdf)
pdfText(buffer, function(err, chunks) {
 console.log(chunks)
})

for docx files you can use mammoth, it will extract text from .docx files.

var mammoth = require("mammoth");

mammoth.extractRawText({path: "./doc.docx"})
    .then(function(result){
        var text = result.value; // The raw text 
        console.log(text);
        var messages = result.messages;
    })
    .done();

I hope this will help.

回答8:

Here is an example showing how to download and extract text from a PDF using PDF.js:

import _ from 'lodash';
import superagent from 'superagent';
import pdf from 'pdfjs-dist';

const url = 'http://unec.edu.az/application/uploads/2014/12/pdf-sample.pdf';

const main = async () => {
  const response = await superagent.get(url).buffer();
  const data = response.body;
  const doc = await pdf.getDocument({ data });
  for (const i of _.range(doc.numPages)) {
    const page = await doc.getPage(i + 1);
    const content = await page.getTextContent();
    for (const { str } of content.items) {
      console.log(str);
    }
  }
};

main().catch(error => console.error(error));