AI Learning GymFree text analysis tools
← Back to DashboardPaste any text below and we'll analyze it for patterns that commonly appear in AI-generated writing — things like repetitive sentence length, overused transition phrases, and unnaturally uniform structure.
Important: This tool checks for surface-level writing patterns and is intended as a starting point, not a definitive answer. It cannot access AI model APIs or verify authorship. Results should not be used as proof that text is or isn't AI-generated.
Highlighted words and phrases appear frequently in AI-generated text.
Detecting AI-written text is an unsolved problem — even the best commercial tools get it wrong regularly. What this analyzer does instead is look for surface-level patterns that appear more frequently in AI output than in typical human writing.
Sentence length variance is one of the clearest tells. Human writers naturally mix short punchy sentences with longer ones. AI models tend to produce sentences of suspiciously similar length throughout a passage.
Transition overuse is another. Phrases like "furthermore," "it is worth noting," "in conclusion," and "it is important to" appear far more often in AI text than in natural human writing, where people tend to connect ideas more directly.
Burstiness refers to whether similar ideas or vocabulary cluster together. Humans often revisit a word or concept in a concentrated burst, while AI tends to spread words more evenly.
Lexical diversity measures how many unique words appear relative to total words. AI text often has lower diversity because models gravitate toward common vocabulary.
Every AI detector on the market — including much more sophisticated paid tools — produces both false positives and false negatives. Academic research has shown that some detectors flag human-written text from non-native English speakers at alarming rates. At the same time, simple rephrasing or editing can make AI text sail past most detectors. Use any detector result as one data point, not a verdict.
No — and neither can any other tool. There is no reliable way to mathematically prove a piece of text was generated by a specific AI model. This analyzer highlights patterns that often appear in AI writing, but those patterns also appear in some human writing.
Some people naturally write in a structured, formal style that resembles AI output. Technical writing, academic prose, and highly edited text can all trigger AI-writing signals. A high score is a flag worth thinking about, not a conclusion.
Pattern analysis becomes more meaningful with more text. A single sentence tells you almost nothing. Aim for at least 100–150 words to get signals worth paying attention to; 300+ words gives a more complete picture.
No. All analysis happens directly in your browser using JavaScript. Your text never leaves your device and is not sent to any server.