Predictability Score
Checks whether the text uses very common wording, predictable transitions, and familiar article flow.
Signals
AI detection signals used by the checker
The tool reviews many writing patterns together because no single signal can prove whether a text was written by AI or by a human.
Text patterns behind the AI percentage
AI Text Detector works as an AI content analysis tool. It does not make a guaranteed claim. It combines weak signals into a probability estimate so users can review the content with context.
Burstiness Score
Measures sentence length variation because human writing often mixes short, medium, and long sentences.
Repetition Score
Finds repeated words, repeated phrases, and repeated ideas that may make content feel machine written.
Generic Wording Score
Reviews broad phrases, vague benefits, safe claims, and polished wording that does not add much information.
Specificity Score
Looks for numbers, names, dates, examples, tools, places, versions, and other details that make content more grounded.
Paragraph Structure Score
Checks whether paragraphs follow the same length, rhythm, and explanation pattern too consistently.
Personal Experience Score
Looks for first person detail, real workflow notes, practical warnings, mistakes, and lived examples.
Originality Score
Reviews whether the text includes unique examples, non obvious advice, comparisons, or a fresh angle.
Semantic Repetition Score
Finds sentences or paragraphs that say almost the same thing with different wording.
Transition Overuse Score
Checks for repeated use of moreover, furthermore, additionally, in conclusion, and similar connectors.
Heading Pattern Score
Reviews generic heading patterns such as what is, why, how, benefits, and final thoughts.
Keyword Placement Score
Checks whether SEO keywords are repeated too evenly or unnaturally across the text.
List Style Score
Finds bullet lists that use the same grammar pattern, length, and generic explanation style.
Claim Strength Score
Reviews whether the text relies on cautious wording such as can help, may improve, and designed to.
Nuance Score
Looks for specific tradeoffs, limitations, exceptions, failure cases, and warnings.
Readability Pattern Score
Measures whether readability stays too consistent from start to finish.
Entity and Reference Score
Checks for named people, tools, brands, documents, studies, websites, dates, and platforms.
Source and Evidence Score
Reviews whether claims have examples, cited sources, test notes, screenshots, or proof where needed.
Human Messiness Score
Looks for natural asides, opinion, humor, frustration, uncertainty, and practical human texture.
Emotional Depth Score
Checks whether emotion feels generic or includes real texture, hesitation, preference, and variation.
Factual Density Score
Reviews the amount of useful facts compared with broad or obvious statements.
Cross Paragraph Memory Score
Checks whether later sections build on earlier examples or only repeat the same idea.
Redundancy Score
Measures how much text could be removed without losing meaning.
Template Smell Score
Detects common AI article structures that feel clean but predictable.
Topic Depth Mismatch Score
Finds complex topics that are explained with shallow detail, no steps, or no real examples.
Use signals as review clues, not final proof
An AI text detector can be useful for content review, but it can also be wrong. Edited AI text may look human, and polished human writing may look AI assisted. Use the AI Text Detector with the AI detection disclaimer in mind.