AI Content Detector

No AI detector is fully reliable. Academic research consistently shows false positive rates of 10-30% (flagging human text as AI) and false negative rates that vary widely. This tool provides pattern analysis as a helpful signal, but results should never be treated as definitive proof.

The tool analyzes sentence variety, formulaic transitions, hedging language, parallel structure, vocabulary diversity, personal voice, and dozens of other writing patterns. Both AI and human signals are identified and weighted.

Yes, easily. Minor edits, style transfers, and rewriting tools can change detection results significantly. This is one reason why detectors should not be used as sole evidence in academic integrity or content authenticity decisions.

Confidence reflects how clear the signals are. "High" means strong, consistent patterns were found. "Low" means the text has mixed signals or falls in an ambiguous zone. When confidence is low, the score is particularly unreliable.

The analysis looks for general AI writing patterns rather than fingerprints from specific models. It can identify patterns common to ChatGPT, Claude, Gemini, and other large language models, but newer or fine-tuned models may produce less detectable patterns.