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AI Content Detector

Enterprise-grade AI detection using OpenAI GPT-4 + 8 statistical algorithms. Hybrid system combining GPT-4 meta-detection with NLP, n-gram analysis, Shannon entropy, stylometric features (50+), DetectGPT-style metrics, and modern AI pattern detection. Optimized for GPT-5, Claude 4.5, Gemini 3. Optional OpenAI integration for enhanced accuracy.

OpenAI Ready GPT-4 Powered 50+ Features Hybrid System
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⚠️ Important Disclaimer: This tool provides statistical analysis based on text patterns. No AI detector is 100% accurate. Results should be used as one indicator among many. Always combine automated detection with human judgment, especially for academic or professional decisions.

Text Analysis

Words: 0
Characters: 0
Sentences: 0

How It Works

1. NLP Processing

Natural language processing extracts POS tags, syntactic structures, and semantic features using compromise.js.

2. N-gram Analysis

Unigram, bigram, and trigram frequencies measure text predictability and identify repetitive patterns.

3. Shannon Entropy

Character and word-level entropy measures randomness - AI text has lower entropy (more predictable).

4. Stylometry (50+ Features)

Authorship features: Type-Token Ratio, Yule's K, Flesch-Kincaid readability, syntactic complexity, POS distributions.

5. Burstiness Analysis

Coefficient of variation for sentence/word length. AI has uniform patterns, humans are bursty.

6. DetectGPT Proxy

Log-probability curvature approximation - AI text has flatter probability distributions.

7. Modern AI Patterns

Detects GPT-5/Claude 4.5/Gemini 3 signatures: perfect TTR, low transitions, consistent readability.

8. OpenAI GPT-4 Meta-Detection

Optional: Use your OpenAI API key. GPT-4 analyzes text patterns with 75% weight in hybrid mode.

9. Ensemble Scoring

Intelligent hybrid: 75% OpenAI + 25% Statistical or 100% Statistical if no API key.

Understanding the Metrics

What it measures: Perplexity measures how predictable the text is. Low perplexity means the text is highly predictable and follows common patterns.

AI vs Human: AI models tend to produce text with lower perplexity (more predictable) because they're trained to follow statistical patterns. Human writing is often more unpredictable and creative.

Score interpretation:

  • Low (0-40): Very predictable - strong AI indicator
  • Medium (40-70): Moderately predictable - mixed signals
  • High (70-100): Unpredictable - human-like

What it measures: Burstiness measures the variation in sentence and word lengths. High burstiness means the text has a mix of short and long sentences.

AI vs Human: Human writers naturally vary their sentence structure (short, punchy sentences followed by longer, complex ones). AI models tend to maintain more consistent sentence lengths.

Score interpretation:

  • Low (0-40): Very uniform - strong AI indicator
  • Medium (40-70): Some variation - mixed signals
  • High (70-100): High variation - human-like

What it measures: The ratio of unique words to total words, indicating vocabulary richness and repetition.

AI vs Human: AI models sometimes use repetitive vocabulary or overuse certain words. Humans tend to have more varied word choice or can be intentionally repetitive for emphasis.

Score interpretation:

  • Low (0-40): Highly repetitive - potential AI indicator
  • Medium (40-70): Normal vocabulary range
  • High (70-100): Very diverse - can be human or advanced AI

What it measures: The structural complexity of sentences, including clauses, punctuation, and grammatical patterns.

AI vs Human: AI models often produce grammatically perfect, moderately complex sentences. Humans may use fragments, run-ons, or highly complex nested structures.

Score interpretation:

  • Low (0-40): Very simple or very complex - mixed signals
  • Medium (40-70): Moderate complexity - common for AI
  • High (70-100): Variable complexity - human-like

Frequently Asked Questions

How accurate is this detector?

No AI detector is 100% accurate. This tool uses multiple statistical indicators and pattern recognition to provide a probability score. Results should always be combined with human judgment and used as one data point among many.

Is my text data stored or sent anywhere?

By default, everything runs in your browser (client-side). If you add an OpenAI API key, text is sent to OpenAI servers for GPT-4 analysis to improve accuracy. You can remove the API key anytime to use statistical-only mode.

What AI models can this detect?

This tool analyzes general patterns common to most large language models (ChatGPT, Claude, Gemini, etc.). It's not model-specific but looks for universal AI-writing characteristics.

Why might human text score high?

Formal academic or business writing often follows predictable patterns similar to AI. Well-edited content, technical documentation, or template-based writing may trigger false positives.

Can AI-generated text be edited to pass detection?

Yes. AI text can be edited to appear more human-like by adding variations, changing sentence structures, and introducing imperfections. This is why detection should never be the sole decision factor.

What's the minimum text length for accurate results?

We recommend at least 50 words for basic analysis, and 150+ words for more reliable results. Longer texts (500+ words) provide the most accurate statistical analysis.

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