Stealthy AI vs isGPT | Which One Detects Academic Writing Better?
In this blog post, we compare Stealthy AI and isGPT, two prominent tools in the stealth detection market, in terms of their performance on academic writing detection.
📊 Experiment Design
We evaluated both systems across three datasets:
- AI-Generated Academic Essays (100 samples, GPT-4 generated)
- Human-Written College Admission Essays (100 samples)
- Hybrid Academic Paragraphs (50% human + 50% AI rewritten)
Each tool was tested for:
- Detection Accuracy
- False Positive Rate
- Feedback Specificity
- Processing Speed
🔬 Results Overview
| Metric | isGPT | Stealthy AI |
|---|---|---|
| Detection Accuracy (%) | 92.4 | 76.1 |
| False Positive Rate (%) | 4.3 | 2.7 |
| Feedback Specificity (score) | 4.6 / 5.0 | 3.2 / 5.0 |
| Avg. Processing Speed (sec) | 1.8 | 1.5 |
Note: A higher Feedback Specificity score indicates clearer explanations and guidance on what parts of the text are AI-generated.
🧠 Analysis
1. Accuracy Matters in Academic Integrity
isGPT clearly outperforms Stealthy AI with over 92% accuracy in detecting AI-written academic essays. This is crucial for educators who need trustworthy flags on suspicious submissions.
2. False Positives: A Tradeoff
Although Stealthy AI maintains a slightly lower false positive rate, it does so at the cost of detection capability, often missing subtly AI-rewritten text.
3. Feedback Quality
Unlike Stealthy AI’s vague classification (“Likely AI”), isGPT provides line-by-line analysis and reasons for classification, helping institutions act confidently and fairly.
🏆 Verdict: isGPT Leads in Academic AI Detection
For universities, scholarship committees, and educators, isGPT is currently the more robust and insightful tool when it comes to analyzing and detecting AI-generated academic writing and college essays.