Features

Linguistic Fingerprinting

Hub

Perplexity Analysis

Perplexity measures the complexity of text. AI models are trained to maximize probability, leading to lower perplexity. Our engine calculates this at the sentence, paragraph, and document levels to identify the "predictable" nature of AI writing.

Timeline

Burstiness Evaluation

Burstiness refers to the variation in sentence structure and length. Human writers naturally vary their pace, creating "bursts" of complexity followed by simple statements. AI tends toward uniformity, which our detector flags instantly.

Our Multi-Layered Approach

• Syntax & Semantic Check

  We scan the sentence structure and semantic flow, looking for the repetitive patterns and unnaturally smooth transitions typical of LLMs.

• Statistical Probability Map

  Our engine calculates the probability of each word following the previous one. High-probability chains are a strong signal of AI-generated content.

• Cross-Reference Validation

  The final result is verified against millions of known human and AI datasets, ensuring the lowest possible false-positive rate in the industry.