node-tesseract-ocr

Installation

First, you need to install the Tesseract project. Instructions for installing Tesseract for all platforms can be found on the project site. On Debian/Ubuntu:

apt-get install tesseract-ocr

After you've installed Tesseract, you can go installing the npm-package:

npm install node-tesseract-ocr

Usage

const tesseract = require("node-tesseract-ocr")

const config = {
  lang: "eng",
  oem: 1,
  psm: 3,
}

tesseract
  .recognize("image.jpg", config)
  .then((text) => {
    console.log("Result:", text)
  })
  .catch((error) => {
    console.log(error.message)
  })

Also you can pass Buffer:

const img = fs.readFileSync("image.jpg")

tesseract
  .recognize(img, config)
  .then((text) => {
    console.log("Result:", text)
  })
  .catch((error) => {
    console.log(error.message)
  })

or URL:

const img = "https://tesseract.projectnaptha.com/img/eng_bw.png"

tesseract
  .recognize(img, config)
  .then((text) => {
    console.log("Result:", text)
  })
  .catch((error) => {
    console.log(error.message)
  })

If you want to process multiple images in a single run, then pass an array:

const images = ["./test/samples/file1.png", "./test/samples/file2.png"]

tesseract
  .recognize(images, config)
  .then((text) => {
    console.log("Result:", text)
  })
  .catch((error) => {
    console.log(error.message)
  })

In the config object you can pass any OCR options. Also you can pass here any control parameters or use ready-made sets of config files (like hocr):

const result = await tesseract.recognize("image.jpg", {
  load_system_dawg: 0,
  tessedit_char_whitelist: "0123456789",
  presets: ["tsv"],
})