1. Text statistics
The tool counts words, sentences, paragraph length, vocabulary variation, and sentence length variance.
Method
How AI Text Detector estimates AI generated text
The checker breaks text into words, sentences, and paragraphs, then reviews measurable signals such as repetition, specificity, structure, burstiness, and generic wording.
2. Signal scoring
Each writing signal receives a score and weight based on measurable patterns found in the text.
3. Final estimate
Scores are combined into an AI probability, human probability, label, confidence, and reason list.
What the AI probability score includes
The AI probability checker looks for repeated ideas, generic transitions, low specificity, smooth template based structure, weak factual density, and other patterns often found in AI generated content. Each signal is only one clue, so the final result is shown as an estimate.
Why signals matter
A single phrase cannot prove that text is AI generated. Better analysis compares many small signals together. Review all signals on the AI detection signals page or scan your own text with the AI Text Detector.
FAQ
Common questions
Does the tool use an AI API?+
No. The first version uses rule based writing pattern checks and does not require an AI API.
Why does it show confidence?+
Confidence helps explain how strongly the detected signals agree. Short or mixed content usually receives lower confidence.
Can human text get a high AI score?+
Yes. Very polished, generic, or repetitive human text can trigger AI like patterns, so results should be reviewed carefully.
Can AI text get a low AI score?+
Yes. Edited, rewritten, or highly specific AI assisted text may look more human to a pattern based checker.