AI Code Detector
Upload source code to check for patterns associated with GitHub Copilot, ChatGPT, Claude, and other AI coding assistants. Review the score with repository context.
Try the AI code detector
Drag & drop any file
Python, JavaScript, TypeScript, and text files up to 10 MB
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"βlow-effort AI-generated scaffolding
Pattern Analysis
Detect AI coding patterns and style markers
Multi-Language
Review source code submitted as text, with behavior that can vary by programming language and repository context
Explainable Evidence
Understand exactly why code was flagged
Evidence Types
- βFunction-level confidence scores
- βAI pattern markers
- βStyle inconsistency analysis
- βComment and documentation signals
Operational Guidance
- β‘Processing time depends on code length and scan mode
- πBatch workflows are available for repository review
- π―Use repository context and human review with detector evidence
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.
API Integration
Get started in minutes with our unified API
curl -X POST https://app.zerotrue.app/api/v1/check \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"input": {
"type": "code",
"value": "Sample code content"
},
"is_private_scan": true,
"is_deep_scan": false,
"idempotency_key": "req-123"
}'