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hybrid-ocr-sambit

v1.0.5

Published

> AI-powered multi-format OCR system supporting **handwritten text, printed text, Morse code, and Braille** with analysis and report generation.

Readme

🚀 Hybrid OCR AI

AI-powered multi-format OCR system supporting handwritten text, printed text, Morse code, and Braille with analysis and report generation.


🌟 Overview

Hybrid OCR AI is a modern Optical Character Recognition system that goes beyond traditional OCR. It integrates deep learning models (EasyOCR, TR-OCR) with custom decoding logic to process complex input formats.

It not only extracts text but also provides:

  • 📊 Confidence scores
  • 📈 Analysis metrics
  • 📄 PDF export with charts

✨ Features

  • 🧠 Multi-format OCR

    • Printed text
    • Handwritten text
    • Morse code
    • Braille patterns
  • AI-powered processing

    • EasyOCR (deep learning)
    • TR-OCR (transformer-based)
  • 📊 Analytics & insights

    • Accuracy
    • Confidence score
    • Text statistics
  • 📄 Export functionality

    • Download results as PDF
    • Includes charts and analysis
  • 🔌 Simple API

    • Easy integration in any React / JS app

📦 Installation

npm install hybrid-ocr-sambit

🚀 Usage

import { runOCR } from "hybrid-ocr-sambit"

const handleOCR = async (file) => {
  const result = await runOCR(file)

  console.log(result.text)
  console.log(result.type)
  console.log(result.confidence)
}

📥 Input Supported

  • 🖼️ Image files (JPG, PNG)
  • ✍️ Handwritten notes
  • 🔤 Printed text
  • 📡 Morse code images
  • 🔵 Braille patterns

📤 Output Format

{
  "text": "Extracted content",
  "type": "Handwritten / Printed / Morse / Braille",
  "confidence": 0.95
}

⚙️ How It Works

  1. Upload image input
  2. System detects input type
  3. OCR processing using AI models
  4. Text extraction + analysis
  5. Output generated with metrics
  6. Optional PDF export

🧠 Tech Stack

  • Backend: Python, FastAPI
  • OCR Models: EasyOCR, TR-OCR
  • Frontend: React.js
  • Charts: Recharts
  • PDF: html2canvas, html2pdf

🌍 Use Cases

  • 📚 Digitalizing handwritten notes
  • ♿ Accessibility for visually impaired (Braille)
  • 📡 Decoding Morse communication
  • 🧾 Document analysis systems
  • 🤖 AI-based text processing applications

⚠️ Important Note

Make sure your backend API is deployed and accessible:

const API_URL = "https://your-backend-url.com/ocr"

🔄 Versioning

| Version | Description | | ------- | --------------- | | 1.0.0 | Initial release |


🤝 Contributing

Contributions are welcome! Feel free to fork the repo and submit pull requests.


📄 License

MIT License © 2026 Sambit


⭐ Support

If you like this project, consider giving it a ⭐ on GitHub!