Package Exports

wx-ocr
wx-ocr/index.js

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Readme

wx-ocr

Super simple OCR for Node.js - One line to recognize text from images.

Features

🚀 Super simple API - just one function call
📦 No installation required - includes all necessary files
🎯 High accuracy OCR engine
⚡ Fast processing
🔧 Easy to use - no complex configuration

Installation

npm install wx-ocr

Quick Start

const { ocr } = require('wx-ocr');

// Recognize text from image
const result = await ocr('image.png');
console.log(result);

// Get only text
const text = await ocr('image.png', { returnTextOnly: true });
console.log(text);

// Get formatted text with line breaks
const formatted = await ocr('image.png', { 
  returnTextOnly: true, 
  formatText: true 
});
console.log(formatted);

API

`ocr(imagePath, options)`

Recognize text from a single image.

Parameters:

imagePath (string): Path to image file
options (object, optional):
- returnTextOnly (boolean): Return only text array, default: false
- formatText (boolean): Format text with line breaks, default: false

Returns: Promise<Array|string|Object>

Example:

// Full result with location info
const result = await ocr('image.png');
// {
//   taskId: 1,
//   ocrResult: [
//     { text: 'Hello', location: { left: 10, top: 20, right: 100, bottom: 50 } },
//     { text: 'World', location: { left: 10, top: 60, right: 100, bottom: 90 } }
//   ]
// }

// Text only
const texts = await ocr('image.png', { returnTextOnly: true });
// ['Hello', 'World']

// Formatted text
const formatted = await ocr('image.png', { returnTextOnly: true, formatText: true });
// "Hello\nWorld"

`ocrBatch(imagePaths, options)`

Recognize text from multiple images.

Parameters:

imagePaths (string[]): Array of image paths
options (object, optional): Same as ocr()

Returns: Promise

Example:

const results = await ocrBatch(['img1.png', 'img2.png']);

CLI Usage

# Single image
wx-ocr ocr image.png

# Text only
wx-ocr ocr image.png --text-only

# Formatted text
wx-ocr ocr image.png --text-only --format

# Batch processing
wx-ocr batch image1.png image2.png

Examples

Basic Usage

const { ocr } = require('wx-ocr');

async function main() {
  const result = await ocr('screenshot.png');
  console.log(result);
}

main();

Batch Processing

const { ocrBatch } = require('wx-ocr');

async function main() {
  const images = ['img1.png', 'img2.png', 'img3.png'];
  const results = await ocrBatch(images, { returnTextOnly: true });
  
  results.forEach((text, i) => {
    console.log(`Image ${i + 1}:`, text);
  });
}

main();

With Express.js

const express = require('express');
const { ocr } = require('wx-ocr');
const multer = require('multer');

const app = express();
const upload = multer({ dest: 'uploads/' });

app.post('/ocr', upload.single('image'), async (req, res) => {
  try {
    const result = await ocr(req.file.path, { returnTextOnly: true });
    res.json({ text: result });
  } catch (error) {
    res.status(500).json({ error: error.message });
  }
});

app.listen(3000);

How It Works

This package includes a high-performance OCR engine with all necessary data files. The engine runs as a separate process and communicates via IPC for optimal performance.

Requirements

Windows OS
Node.js 14+

License

MIT