AI Sniffer
AI Sniffer
Advanced AI detection technology to identify AI-generated content. Our sophisticated detection system uses multiple approaches for accurate results.
Advanced AI Sniffer Analysis
AI Sniffer's sophisticated multi-method detection engine analyzes text using statistical, linguistic, semantic, and stylometric approaches
How AI Sniffer Works
AI Sniffer employs multiple sophisticated methods to analyze text and determine the likelihood of AI generation
Analyzes token distribution, entropy patterns, and linguistic features that differ between AI and human writing.
- N-gram frequency analysis
- Sentence length distribution
- Vocabulary complexity metrics
- Perplexity calculations
Identifies writing patterns, style markers, and structural elements typical of AI-generated content.
- Repetitive phrase detection
- Transition word usage
- Sentence structure analysis
- Coherence patterns
Examines meaning, context, and logical flow to identify AI-typical content generation patterns.
- Topic coherence analysis
- Logical flow assessment
- Context consistency checks
- Semantic similarity patterns
Strengths
- High accuracy on longer texts (200+ words)
- Multiple detection methods for comprehensive analysis
- Effective against common AI writing patterns
- Confidence scoring for result reliability
Limitations
- Lower accuracy on short texts (<50 words)
- Can be evaded by paraphrasing or editing
- May flag human text with AI-like patterns
- Evolving AI models may bypass detection
Important Disclaimers
Please read these important limitations and considerations before using our detection service
• This tool should not be the sole basis for academic or legal decisions
• Always combine with human judgment and additional verification
• Consider context, purpose, and stakes when interpreting results
• Consult institutional policies regarding AI detection tools
• Text submitted is processed temporarily for analysis
• No text content is permanently stored or logged
• Analysis is performed client-side when possible
• Do not submit sensitive or confidential information
Detection Challenges:
- • AI models are constantly evolving
- • Human-AI collaborative writing
- • Heavily edited AI content
- • Domain-specific or technical writing
- • Non-English or multilingual text
Best Practices:
- • Use with texts of 100+ words for better accuracy
- • Consider multiple detection methods
- • Review confidence scores carefully
- • Combine with manual review
- • Stay updated on AI detection research