Paste your draft and instantly see how likely it is to be flagged as AI-written. Get a probability score, signal breakdown, and specific patterns that trigger detection — so you know what to fix before submitting.
Paste text and click Analyze to see your AI-detection score and the signals that triggered it.
Get instant insight into whether your draft will trip AI detectors at university
Drop in 30–1,500 words of your assignment, essay, or report. Works with any English-language academic text.
Vocabulary patterns, sentence-structure uniformity, transition overuse, and word predictability — the four hallmarks of AI-generated prose.
Get a 0–100 likelihood score plus 3–5 specific patterns the detector caught. Use the indicators to rewrite problem areas yourself.
Use our free AI Text Humanizer to rewrite flagged passages, or get an expert to rewrite your entire assignment so it passes AI detection.
Get Expert HumanizationUniversity AI detectors (including Turnitin's AI-writing indicator, GPTZero, Originality.ai, and similar tools used across Australian universities) flag text by measuring statistical signals that consistently differ between human and AI prose. Understanding these signals helps you spot which passages of your draft will be flagged before you submit.
AI models like ChatGPT and Claude statistically prefer common, high-frequency academic words: "crucial", "comprehensive", "plays a vital role", "delve into", "navigate the landscape". Human writers draw from a wider, more idiosyncratic vocabulary informed by their reading and discipline. A passage saturated with these AI-typical phrases scores high on the vocabulary signal.
Human writing has burstiness — a natural mix of short, punchy sentences and longer, complex ones. AI text tends to produce sentences of similar length and similar subject-verb-object structure, paragraph after paragraph. Our detector flags low-variation sentence rhythm as an AI signal.
"Furthermore", "moreover", "additionally", "in conclusion" — AI models lean heavily on these formal connectives because they're high-probability tokens. Human writers use them sparingly and vary cohesion devices. If every paragraph of your draft begins with one of these transitions, the detector will catch it.
Perplexity measures how "surprised" a language model is by the next word. Human writing has higher perplexity — we make unexpected word choices reflecting personal voice. AI text scores low because it picks the most statistically likely word at every step. Low perplexity is the single strongest AI signal modern detectors use.
A score above 65% means the text reads as AI-generated. You have three options: rewrite the flagged passages by hand using your own voice and varied vocabulary; use a tool like our free AI Text Humanizer to rewrite at scale; or use our expert humanisation service where Masters- and PhD-qualified writers rewrite your draft to pass detection while preserving your argument. See our full guide on checking for AI writing for more detail.