About the AI Text Detector
With the widespread adoption of large language models, identifying whether a piece of content was written by an AI or a human has become an important consideration for educators, editors, and publishers. Large language models exhibit distinct statistical signatures: they favor uniform sentence lengths, rely heavily on predictable transition phrases, and maintain a consistent, moderate vocabulary diversity.
This AI Text Detector analyzes your text against key computational linguistic metrics: Burstiness (variance in sentence length), Perplexity proxies (lexical diversity and type-token ratios), and AI cliché frequency (common formulaic phrases like 'In conclusion', 'delve into', 'tapestry', and 'plays a crucial role').
To use it, paste your text (at least 20-30 words for best accuracy) into the analysis field. The tool immediately calculates an overall AI Probability score, displays a visual risk meter, and generates an interactive sentence-by-sentence breakdown highlighting uniform or formulaic passages.
For example, human writing naturally mixes short, punchy statements with long, complex descriptive sentences, producing a high burstiness score. In contrast, AI models often output sentences of nearly identical length (15-20 words each) with predictable transitional connectors, resulting in a high AI likelihood flag.
Important note: Statistical AI detection is heuristic and probabilistic. No detector can provide 100% definitive proof of AI authorship. False positives can occur, particularly with highly formal, standardized, or non-native human writing. Use this tool as an informative diagnostic aid rather than an absolute verdict.
Tip: Review the sentence-level breakdown to identify repetitive phrases or monotone cadence that you can manually revise to improve human readability and engagement.