AI Text Detector

This tool estimates whether a passage was produced by an AI model and returns a numeric likelihood along with a human-readable label. It combines linguistic features such as perplexity, burstiness, and token distributions with stylometric signals and ensemble detector outputs to deliver a probabilistic assessment. The analysis is designed for editors, educators, researchers, and content reviewers who need quick, auditable guidance on content authenticity. Conceptually, inputs are processed by feature extractors and classifiers that produce a probability; this is then mapped to a score from 0 to 100. The result can be used to triage items for manual review or to inform moderation workflows. Unique value lies in a transparent scoring approach and machine-actionable output that supports automation. Core features include a single-text instant score and a clear label, with optional language hints and export-ready results for auditing. Use cases include evaluating article drafts, student submissions, and social media content where model usage is uncertain.