# 🤖➡️👨 AI Text Humanizer & Detector Pro
[](https://huggingface.co/spaces)
[](https://railway.app)
[](https://render.com)
**🌐 Deploy your AI humanizer to the cloud with one click**
[🚀 Quick Deploy](#-deployment-options) •
[📖 Documentation](#-features) •
[🔧 Setup Guide](#-installation) •
[💡 Examples](#-usage-examples) •
[🆘 Support](#-support)
---
A comprehensive web application for transforming AI-generated text into natural, human-like writing while providing advanced AI detection capabilities.
## ✨ Features
|
### 🎭 **Text Humanizer**
- 🔄 **Advanced Vocabulary Enhancement**
- 📝 **Sentence Flow Optimization**
- 🏗️ **Structure Diversification**
- 🎓 **Academic Tone Preservation**
- ⚡ **Multi-level Processing**
|
### 🕵️ **AI Detector**
- 🎯 **7-Point Analysis System**
- 📊 **Detailed Scoring Breakdown**
- 🔍 **Confidence Level Assessment**
- 🤖 **Pattern Recognition Engine**
- ⚡ **Real-time Analysis**
|
### 🔄 **Combined Processing**
- 🚀 **One-Click Workflow**
- 🔁 **Optimization Loop**
- ✅ **Quality Validation**
- 📊 **Performance Metrics**
- 🎯 **Result Verification**
|
## 🚀 Live Demo
Visit the live application: [Hugging Face Spaces](https://huggingface.co/spaces/YOUR_USERNAME/ai-text-humanizer)
## 📦 Installation
### 🔧 **Local Development Setup**
📋 System Requirements
| Component | Requirement | Recommended |
|-----------|-------------|-------------|
|  | 3.8+ | 3.9+ |
|  | 4GB+ | 8GB+ |
|  | 2GB+ | 5GB+ |
|  | For models | Stable connection |
### 🚀 **Quick Start**
```bash
# 📥 1. Clone Repository
git clone https://github.com/SidddhantJain/Humaniser-Sid.git
cd Humaniser-Sid
# 🐍 2. Setup Environment
python -m venv .venv
.venv\Scripts\activate # Windows
source .venv/bin/activate # Linux/Mac
# 📦 3. Install Dependencies
pip install -r requirements.txt
# 🚀 4. Launch Application
python app.py
```
### 📋 **Dependencies**
|
#### 🎯 **Core Dependencies**
```
gradio==4.44.0 # Web interface
transformers==4.35.0 # AI models
torch==2.1.0 # Deep learning
nltk==3.8.1 # Language processing
```
|
#### 🔧 **Supporting Libraries**
```
textstat==0.7.3 # Text analysis
numpy==1.24.3 # Numerical computing
pandas==2.0.3 # Data manipulation
protobuf # Model serialization
```
|
## 🛠️ Technical Details
### Humanization Algorithms
- **Vocabulary Diversification**: WordNet-based synonym replacement
- **Structural Variation**: Sentence pattern modification
- **Natural Flow Enhancement**: Academic connector and hedge phrase insertion
- **Linguistic Pattern Breaking**: AI-specific phrase elimination
### AI Detection Metrics
1. **AI Phrase Detection**: Identifies common AI-generated expressions
2. **Vocabulary Repetition**: Analyzes overuse of academic terms
3. **Structure Patterns**: Detects repetitive sentence starters
4. **Transition Overuse**: Measures excessive formal connectors
5. **Formal Pattern Recognition**: Identifies robotic phrasing
6. **Sentence Consistency**: Analyzes unnatural uniformity
7. **Readability Assessment**: Evaluates writing naturalness
## 📈 Usage Examples
### Input (AI-Generated):
```
The implementation of artificial intelligence algorithms demonstrates significant improvements in computational efficiency and accuracy metrics across various benchmark datasets.
```
### Output (Humanized):
```
AI algorithms show notable improvements in both computational efficiency and accuracy when tested across different benchmark datasets. These results indicate considerable advances in performance.
```
## 🔧 Configuration
### Humanization Levels:
- **Light**: Basic vocabulary substitution
- **Medium**: Vocabulary + natural flow enhancement
- **Heavy**: All techniques including structure modification
### AI Detection Thresholds:
- **0-20%**: Likely human-written
- **21-40%**: Possibly AI-generated
- **41-60%**: Probably AI-generated
- **61-80%**: Likely AI-generated
- **81-100%**: Very likely AI-generated
## 🌐 Deployment Options
|
### 🤗 **Hugging Face Spaces**
#### ⭐ RECOMMENDED - FREE
**✅ Benefits:**
- 🆓 Completely FREE forever
- ⚡ Auto-deployment from files
- 🌍 Global CDN (fast worldwide)
- 🔒 SSL certificate included
- 🛠️ No coding required
- 📱 Mobile-friendly interface
**🚀 Deploy Steps:**
1. Go to [huggingface.co/spaces](https://huggingface.co/spaces)
2. Click "Create new Space"
3. Choose Gradio SDK
4. Upload `app.py` & `requirements.txt`
5. ✨ Auto-deploy in 2-3 minutes!
|
### 🚂 **Railway**
#### 💰 FREE TIER AVAILABLE
**✅ Benefits:**
- 🎯 GitHub integration
- 🔄 Auto-deploy on push
- 💾 Persistent storage
- 📊 Built-in monitoring
- 🔧 Environment variables
- 💳 Credit card not required
**🚀 Deploy Steps:**
1. Push code to GitHub
2. Go to [railway.app](https://railway.app)
3. "Deploy from GitHub repo"
4. Select your repository
5. 🎉 Railway auto-detects & deploys
|
### 🎨 **Render**
#### 💰 FREE TIER AVAILABLE
**✅ Benefits:**
- 🔗 GitHub integration
- 🔒 Free SSL certificates
- 🔄 Automatic deploys
- 📈 Scalable infrastructure
- 💻 Custom domains
- 📊 Real-time logs
**🚀 Deploy Steps:**
1. Push to GitHub
2. Go to [render.com](https://render.com)
3. "New Web Service"
4. Connect GitHub repo
5. Set build: `pip install -r requirements.txt`
6. Set start: `python app.py`
|
---
### 🥇 **Recommended: Hugging Face Spaces**
| Feature | Hugging Face | Railway | Render |
|---------|-------------|---------|---------|
| 💰 **Cost** |  |  |  |
| ⚡ **Setup Time** |  |  |  |
| 🛠️ **Configuration** |  |  |  |
| 🌍 **Global CDN** |  |  |  |
| 📱 **Mobile Optimized** |  |  |  |
## ⚖️ Ethical Usage
This tool is designed for:
- ✅ Improving writing quality and naturalness
- ✅ Educational purposes and learning
- ✅ Understanding AI detection mechanisms
- ✅ Research and development
**Important Guidelines:**
- 🚫 Do not use for plagiarism or academic dishonesty
- 🚫 Do not violate institutional policies
- 🚫 Do not misrepresent authorship
- ✅ Maintain transparency about AI assistance
- ✅ Follow academic integrity guidelines
## 🤝 Contributing
Contributions are welcome! Please feel free to submit pull requests or open issues for:
- Bug fixes
- Feature enhancements
- Algorithm improvements
- Documentation updates
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- NLTK team for natural language processing tools
- Hugging Face for hosting and deployment platform
- Gradio team for the web interface framework
- Open source community for various libraries and tools
## 📞 Support
For questions, issues, or suggestions:
- Open an issue on GitHub
- Contact: [mishrikotkar.siddhant@gmail.com]
---
**Disclaimer**: This tool is for educational and research purposes. Users are responsible for ensuring compliance with their institution's policies and maintaining academic integrity.