ClearText

What is ClearText? 🤔

ClearText is an AI-powered text detection and enhancement tool that helps make text in images more readable and clearer. Perfect for improving the legibility of text in scanned documents, photos, and other images.

Product Demo

💬 Join Our Community!

Connect with fellow ClearText users, share your experiences, get support, and stay updated with the latest developments in our growing Slack community!

Windows Download:

Here https://github.com/ajinkya933/ClearText/releases/download/v2.0.0/clear-text-electron.Setup.2.0.0.exe

⚠️ Important Requirements

Image Dimensions

• 🖼️ Minimum required dimensions:

  Width:  1280 pixels
  Height: 960 pixels
  

• ❌ Images smaller than these dimensions may produce poor results
• ✅ Larger images will be automatically resized while maintaining aspect ratio
• 💡 For best results, use high-resolution images (2000x1500 or larger)

💎 Support ClearText

If you find this tool useful, consider becoming a sponsor for $1/month and get priority support!

Perfect For 🎯

• 📄 Document Digitization
• 📚 Book Scanning
• 📱 Mobile Photos of Text
• 🖨️ Improving Scanned Documents
• 📑 Text Enhancement in Images

Docker Setup Demo

Setup

Prerequisites 📋

• Docker 🐳
• High-resolution text images 🖼️

Directory Structure 📁

├── data/ # Add your high-res images here
├── onnx/ # ONNX model will be exported here
├── weights/ # model.onnx model goes here
├── outputs/ # Detection results will be saved here
├── Dockerfile

Quick Start 🏃‍♂️

1. Add Images and download pth file 📸

   • Place your high-resolution text images in the data directory
   • Download pytorch model from here, and save it in weights folder

2. Build Docker Image 🔨

   docker build -t text-clear:latest .

3. Run Docker Container 🐳

   docker run -p 8501:8501 text-clear:latest

4. This runs the streamlit app on port 8501. Open your browser and go to http://localhost:8501 to use the app.

📸 Demo

Here's an example of what ClearText can do:

IMG_0274.JPG IMG_0274.JPG

Input Image	Output Image

📋 Usage

1. Open the web interface
2. Select processing mode (Normal/Sharp)
3. Upload an image
4. Click "Process Image"
5. Download the processed result

💎 Sponsor $1 per month

👉 My GitHub Sponsors link

�� Sponsor Benefits

• 🛠️ Direct assistance with project-related issues and customizations
• 💡 Technical consultation for your specific use cases
• 🚀 Early access to new features and improvements
• ⭐ Recognition in our sponsors list

Why Sponsor?

Your sponsorship helps maintain and improve ClearText, ensuring it remains a robust and reliable tool for the community. Every contribution, no matter how small, makes a difference!

📜 Licensing

This project uses a dual licensing model:

Original CRAFT Components

• Licensed under MIT License (see CRAFT_LICENSE file)
• Covers the text detection functionality

ClearText Additional Features

• Licensed under ClearText License (see CLEARTEXT_LICENSE file)
• Covers all enhancements and additional features
• Available under two options:

Free License

• Non-commercial use only
• Personal projects
• Academic research

Commercial License

For business/commercial use of ClearText's enhanced features:

• Production-ready ONNX implementation
• Custom image enhancement
• Docker deployment
• Enterprise support

👉 Contact for Commercial Licensing