🧠 OCR Text Reconstruction with NLP

This project extracts text from uploaded or scanned images using Google Cloud Vision API, then corrects spelling and grammar using NLP.

🚀 Features

• Upload handwritten or printed images
• Extract text using Google Vision API
• Spelling correction using TextBlob
• Grammar correction using T5 Transformer model
• Editable final text

🛠 Technologies Used

• Python (Flask)
• Google Cloud Vision API
• TextBlob
• HuggingFace Transformers (T5 model)
• HTML/CSS Frontend

📂 Project Structure

• app.py: Backend logic
• templates/index.html: Frontend UI
• uploads/: Stores uploaded images
• static/style.css: Styling
• requirements.txt: Dependencies

✅ Setup

1. Create a Google Cloud Project and enable Vision API
2. Download your service_account_key.json and rename it as your_gcloud_api_key.json
3. Install dependencies:

   pip install -r requirements.txt