Humanization Testing
Test and compare how different AI models perform at humanizing AI-generated text. Analyze detection scores before and after humanization across multiple models.
How It Works
1. Select Test Files
Choose from pre-generated test articles with different tones and purposes. Each file is AI-generated content designed to test humanization effectiveness.
2. Set AI Threshold
Adjust the AI probability threshold to determine which sentences are considered "too AI-like" and need humanization. Default is 25%.
3. Run Tests
The system will:
- Remove watermarks from the text
- Detect the tone and writing style
- Analyze AI detection scores at sentence level
- Humanize high-AI sentences using multiple models
- Re-analyze to measure improvement
4. Compare Results
View side-by-side comparisons of how each model performed, including before/after AI scores and improvement metrics.
⚠️ Important Note
This testing tool uses AI models to rewrite AI-generated text. AI detectors may still flag the rewritten text as AI-generated because it was processed by AI. This tool is best used for comparing relative performance between different models rather than achieving absolute human-like scores.