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-ocrAfter you've installed Tesseract, you can go installing the npm-package:
npm install node-tesseract-ocrconst tesseract = require("node-tesseract-ocr")
const config = {
lang: "eng", // default
oem: 3,
psm: 3,
}
async function main() {
try {
const text = await tesseract.recognize("image.jpg", config)
console.log("Result:", text)
} catch (error) {
console.log(error.message)
}
}
main()Also you can pass URL:
const img = "https://tesseract.projectnaptha.com/img/eng_bw.png"
const text = await tesseract.recognize(img)or Buffer:
const tesseract = require("node-tesseract-ocr")
const fs = require("fs/promises")
async function main() {
const img = await fs.readFile("image.jpg")
const text = await tesseract.recognize(img)
console.log("Result:", text)
}If you want to process multiple images in a single run, then pass an array:
const images = ["./samples/file1.png", "./samples/file2.png"]
const text = await tesseract.recognize(images)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):
await tesseract.recognize("image.jpg", {
load_system_dawg: 0,
tessedit_char_whitelist: "0123456789",
presets: ["tsv"],
})If you want to use Tesseract in the browser, choose Tesseract.js package, which compiles original Tesseract from C to JavaScript WebAssembly. You can also use it in Node.js, but the performance may not be as good.
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