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ocr-easy

A simple OCR library with image preprocessing, URL/base64 support, and multi-language OCR.

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OCR Easy 🖼️➡️🔤

A simple and powerful OCR (Optical Character Recognition) library using Tesseract.js.

npm License Downloads

✨ Features

✅ Extract text from images, URLs, and Base64
Bulk image processing
Image cropping & enhancement (grayscale, contrast)
Supports multiple languages
Fast & lightweight

📦 Installation

npm install ocr-easy

🚀 Usage

1️⃣ Extract text from a local image

const { extractText } = require("ocr-easy");

extractText("test.png", { enhance: true })
    .then(text => console.log("Extracted Text:", text))
    .catch(err => console.error("Error:", err));

2️⃣ Extract text from an image URL

extractText("https://example.com/sample-image.png")
    .then(text => console.log("Extracted Text:", text))
    .catch(err => console.error("Error:", err));

3️⃣ Extract text from a Base64 image

const base64Image = "data:image/png;base64,iVBORw0KGg...";
extractText(base64Image)
    .then(text => console.log("Extracted Text:", text))
    .catch(err => console.error("Error:", err));

4️⃣ Bulk OCR (Multiple Images)

const { extractTextFromMultipleImages } = require("ocr-easy");

extractTextFromMultipleImages(["image1.png", "image2.jpg"], { enhance: true })
    .then(results => console.log("Bulk OCR Results:", results))
    .catch(err => console.error("Error:", err));

5️⃣ Extract text from an image with cropping

extractText("image.png", { 
    crop: { x: 50, y: 50, width: 200, height: 100 } 
})
.then(text => console.log("Extracted Text:", text))
.catch(err => console.error("Error:", err));

6️⃣ Extract text from an image with language selection

extractText("image.png", { lang: "spa" }) // Spanish
    .then(text => console.log("Extracted Text in Spanish:", text))
    .catch(err => console.error("Error:", err));

🚀 React Usage Example

import React, { useState } from "react";
import { extractText, extractTextFromMultipleImages } from "ocr-easy";

function OCRApp() {
    const [image, setImage] = useState(null);
    const [text, setText] = useState("");

    const handleImageUpload = (event) => {
        const file = event.target.files[0];
        if (file) {
            const reader = new FileReader();
            reader.onload = async (e) => {
                const base64Image = e.target.result;
                const extractedText = await extractText(base64Image, { enhance: true });
                setText(extractedText);
            };
            reader.readAsDataURL(file);
        }
    };

    return (
        <div>
            <h1>OCR Easy React Demo</h1>
            <input type="file" onChange={handleImageUpload} />
            <p>Extracted Text:</p>
            <textarea value={text} readOnly rows="5" cols="50"></textarea>
        </div>
    );
}

export default OCRApp;

📺 Demo Video

Click the image below to watch the React Demo of OCR Easy:

Watch the Demo

🛠️ Options

OptionTypeDefaultDescription
langString"eng"Language for OCR processing (e.g., "spa", "fra")
enhanceBooleanfalseApply grayscale & contrast for better OCR results
cropObjectnullCrop part of the image { x: 50, y: 50, width: 200, height: 100 }

🌍 Supported Languages

  • English (eng)
  • Spanish (spa)
  • French (fra)
  • German (deu)
  • Hindi (hin)
  • More languages can be added by configuring Tesseract.js.

📜 License

This project is licensed under the MIT License.

📫 Contributing

Pull requests are welcome! Feel free to contribute or report issues.

Star this project if you found it useful!

Keywords

ocr

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Package last updated on 16 Feb 2025

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U.S. Patent No. 12,346,443 & 12,314,394. Other pending.