How Node.js implements OCR text recognition

How Node.js implements OCR text recognition

OCR (Optical Character Recognition) refers to the technology of using optical technology to recognize text images. With the emergence of new technologies, OCR technology has developed into a very advanced technology that can extract text from pictures or documents, and this technology has a place in the field of text processing and translation.

This article will introduce how to use Node.js to implement OCR technology, and give some practical sample codes.

Implement OCR with Node.js

To implement OCR technology using Node.js, you first need to install some dependent packages. In other words, we need to install packages such as tesseract, node-tesseract and node-tesseract-native.

install tesseract

Tesseract is an open source OCR engine that can recognize many kinds of text from images. First, we need to install tesseract:

brew install tesseract

Install node-tesseract

Next, we need to install node-tesseract:

npm install node-tesseract

Install node-tesseract-native

Finally, we need to install node-tesseract-native:

npm install node-tesseract-native

sample code example

Next, we will use a sample code to demonstrate how to use Node.js to implement OCR technology:

const tesseract = require('node-tesseract-native')
 
// 读取图片
const image = `./sample.png`
 
// 设置参数
const options = {
    
    
  l: 'eng', // 识别语言为英文（可以改成其他语言）
  psm: 6, // 图片模式
}
 
// 执行OCR
tesseract.recognize(image, options)
  .then(result => {
    
    
  console.log('result:', result)
})

Through the above code, we can realize the recognition of the content of the file in the picture and output it in the form of the result:

result: This is a sample text. 

in conclusion

This article introduces how to use Node.js to implement OCR technology, and provides a practical sample code. Node.js is undoubtedly a very useful technology in the field of text processing and translation, which can save developers a lot of time and effort.