AI-Generated Code Detector
Identify code generated by GitHub Copilot, ChatGPT, Claude, and other AI coding assistants with explainable signals.
What We Detect
Comprehensive AI-generated code detection
Copilot Detection
Detect GitHub Copilot suggestions and generated code
ChatGPT Code
Identify code generated by ChatGPT and GPT models
Claude Code
Detect Claude-generated code and suggestions
Vibe Code
Identify "vibe code"—low-effort AI-generated scaffolding
Pattern Analysis
Detect AI coding patterns and style markers
Multi-Language
Support for Python, JavaScript, TypeScript, Go, Rust, and 10+ languages
Explainable Evidence
Understand exactly why code was flagged
Evidence Types
- ✓Function-level confidence scores
- ✓AI pattern markers
- ✓Style inconsistency analysis
- ✓Comment and documentation signals
Performance
- ⚡Sub-300ms average response time
- 📊Batch processing for repositories
- 🎯89%+ accuracy on in-the-wild dataset
API Integration
Get started in minutes with our unified API
curl -X POST https://api.zerotrue.app/v1/detect \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"modality": "code",
"url": "Sample code content",
"options": {
"include_evidence": true
}
}'Limitations & Best Practices
Understanding model constraints for optimal results
False Positive Risk
Boilerplate code, common patterns, or well-documented code may increase false positives.
Adversarial Attacks
Code obfuscation and manual AI edits may reduce detection accuracy.
Generalization Bounds
Performance varies by language and coding style. Best on modern practices.