How accurate is the AI detector?

It analyses six independent statistical signals and reports a confidence level based on text length. Like all AI detectors, results are probabilistic — use them as guidance, not proof.

What does burstiness mean?

Burstiness measures sentence-length variation. Human writing mixes short and long sentences; AI writing tends to keep them uniform. Low burstiness is a strong AI signal.

How can I make AI text undetectable?

Use our free AI Humanizer — it removes the exact patterns this detector measures.

How to interpret an AI detection score responsibly

An AI detector score is best treated as an estimate, not a verdict about authorship. A high score can mean that the text contains patterns commonly associated with generated writing, but it does not prove who wrote it. Short passages, heavily edited prose, formulaic assignments, and writing by non-native English speakers can all be difficult to classify reliably. When you use a free AI detector, focus on the overall pattern and the accompanying evidence rather than reading a percentage as if it were a laboratory measurement with perfect certainty.

Scores are more useful when you compare them with context. If a student has outlines, sources, earlier drafts, and a document history that shows gradual revision, those materials provide direct evidence of the writing process. If a workplace document was produced with approved AI assistance, an AI-like result may be expected and harmless. Detection should answer a narrow question about textual patterns, not replace a conversation about how the work was produced. For important decisions, combine detector results with human review and process evidence.

Why different AI detectors can disagree

Two AI content detectors can give different results because they may analyze different features, use different training data, and set different thresholds for classification. One system may be more sensitive to predictable phrasing, while another may react more strongly to sentence regularity or common generative patterns. Results can also change after small edits because the statistical profile of a short passage is easy to shift. Disagreement is not automatically a sign that one tool is broken; it reflects the uncertainty involved in inferring authorship from text alone.

Text length also matters. A single paragraph gives a detector less evidence than a full essay, and quoted material, references, headings, or bullet lists can affect the result. For a cleaner check, analyze the main prose separately from the bibliography or copied assignment prompt. If you are reviewing a document written by someone else, avoid repeatedly editing it simply to force a lower score. That changes the evidence you are trying to evaluate. Preserve the original version and record what was checked if the result may be discussed later.

Good uses for AI detection in study and editing workflows

Students can use AI detection as a self-check when they have used permitted AI assistance and want to identify passages that sound generic or unlike their normal voice. The goal should be revision quality, not score manipulation. If one section is flagged, reread it for vague claims, repetitive structure, unsupported certainty, or language you cannot explain. A useful correction is to add your own reasoning, concrete examples, course-specific terminology, and accurate citations where appropriate. Those changes improve the academic value of the work regardless of the final detector score.

Teachers, editors, and managers can use an AI writing detector as one signal in a broader review process. It may help surface text worth discussing, especially when style changes sharply within the same document. However, a detector cannot tell whether AI use was allowed, whether a human heavily edited the output, or whether the writer independently produced similar phrasing. For that reason, decisions about misconduct, employment, grading, or publication should not rest on an automated score alone. Human review and transparent procedures remain essential.

What to do if your own writing is flagged as AI-generated

If your original work receives a high AI score, do not assume you need to rewrite everything. First, save the version that was checked along with your notes, source list, outline, and revision history. Then reread the flagged passages for clarity and specificity. Formulaic introductions, broad topic sentences, and repetitive transitions can look statistically predictable even when a person wrote them. Improve those areas because they make the writing better, not because any particular wording is guaranteed to satisfy detection software. Keep evidence of your normal drafting process.

If the result affects a class or professional review, ask for the process to include human evaluation and supporting evidence. Be prepared to explain your argument, sources, and revision choices. A detector cannot verify intent or authorship with certainty, so a fair review should consider more than the score. Academic integrity policies may also define acceptable AI use differently across courses and institutions. Read the relevant policy carefully, disclose permitted assistance when required, and avoid using detection results as a substitute for clear communication about how the work was created.