AI Score Checker
What does an AI detection score actually mean? This page explains the 0 to 100 scale, shows what each range means in practice, and lets you check your own text for free, right in your browser.What happens when you check your score
Paste your text above and Leap's checker scores it from 0 to 100 based on writing signals: uneven vs uniform sentence length (burstiness), stock AI phrases, hedging and transition words, em-dash density, and repetition. It highlights the sentences that weigh most on the result. Everything runs in your browser, free, no account, and nothing is sent anywhere.Treat the result as a signal, not proof. Any detector can be wrong, and a score alone must never be the only basis for accusing anyone of using AI.Score ranges, explained
AI detectors output a 0 to 100 score. The exact thresholds vary between tools, but the practical reading of the ranges is consistent across GPTZero, Originality.ai, Turnitin, Copyleaks, and Leap.| Score range | Label | What it usually means |
|---|---|---|
| 0-25 | Human | Text reads as clearly human-written. Most detectors treat this range as safe, no flag, no review. This is the target range for most use cases. |
| 26-50 | Mixed | Text shows mixed signals: possibly partially AI-written, AI-assisted then edited, or human writing in a register that detectors find confusing (formal academic, technical, non-native English). |
| 51-75 | Likely AI | Detector reads the text as more AI-like than human. For academic or publishing contexts, this range will typically trigger review. Rewriting or humanization is recommended before submission. |
| 76-100 | Detected | Detector is confident the text is AI-generated. Unedited ChatGPT, Claude, and Gemini output often lands here. This range almost always triggers institutional flags and requires significant rewriting to pass. |
How AI detection scores are calculated
AI detectors look at writing signals such as burstiness (variation in sentence length and structure), stock AI phrases, hedging and transition words, em-dash density, and repetition. Text that is uniform, heavily hedged, and full of stock transitions tends to score as more AI-like; text with varied rhythm and specific voice tends to score as more human.Leap's checker applies these signals locally in your browser and shows which sentences contribute most, so you can see why the score landed where it did instead of trusting a black box number.What a high score doesn't prove
A high AI detection score is a signal, not a verdict. Research on AI detector bias has found that detectors can flag a large share of non-native English student essays as AI-written, a false-positive rate high enough to make detectors unreliable as sole evidence in academic misconduct cases.Other writing patterns that can produce high scores on original human work include highly technical prose, heavily edited drafts, formal academic register with dense hedging, and very short texts where there is too little signal to ground an estimate.If your original work gets a high score, document your writing process (draft history, research notes, version control), cross-check with 2 or 3 independent detectors, and discuss with your instructor before assuming the score represents a correct judgment.Get a real AI score on your text
Paste your text into Leap's checker above for a 0 to 100 score plus a per-sentence breakdown. It is free, requires no signup, and your text never leaves your browser.Frequently asked questions
A 50 score means the signals are roughly split: the text shows patterns consistent with AI-generated writing but also patterns consistent with human writing. This usually indicates either partially AI-written text, heavily edited AI text, or human text in a style detectors associate with LLMs (formal academic register, technical vocabulary, non-native English).
Usually yes, for most institutional contexts. Many university policies treat scores below 20 as background noise, below the threshold where they would flag a document for review. But context matters: some programs have zero-tolerance policies that treat any non-zero score as cause for inquiry.
Yes. Research has found that detectors can flag a large share of non-native English student essays as AI-written. Highly technical writing, heavily edited drafts, and formal academic prose can all trip false positives. A high score on human-written text doesn't prove AI use.
Each detector uses different features, different training data, and different thresholds. The same paragraph can score low on one tool and high on another. This is why cross-checking with 2 or 3 detectors is more informative than trusting a single score.
Perplexity measures how predictable each word is given the previous words: AI text is usually more predictable than human text. Burstiness measures variation in sentence length and structure: human writing has high burstiness (alternating short and long sentences), while AI writing has low burstiness (uniform sentence lengths).
Either rewrite manually (varying sentence length, adding personal voice, removing hedging phrases, introducing specific examples) or use a cleanup tool like Leap's humanizer, which replaces stock AI phrases, removes em dashes and invisible characters, adds contractions, and marks sentences of uniform length so you can vary them. After rewriting, run the checker again to see the new score. No tool can guarantee passing any detector.
No. The checker runs entirely in your browser. Your text is never uploaded, stored, or shared, and you don't need an account to use it.