AI Content Checker

The AI Content Checker analyzes text to estimate AI authorship likelihood. It combines signals from multiple detectors, language-aware features, and stylometric cues to produce a probabilistic score and a verdict suitable for review by educators, editors, policy teams, and content managers. The tool accepts pasted text or uploaded documents and works with various languages. It returns an overall AI-likelihood score, per-passage flags, and a compact report. Results are intended as signals to guide human judgment, not as definitive proof, and are appropriate for both rapid screening and formal review workflows.
How it works conceptually: input normalization, tokenization, and language detection precede model evaluation. Each detector evaluates features such as perplexity, token distribution, and stylistic patterns. These scores feed a calibrated ensemble model that outputs a probability between 0 and 100% and a confidence interval. Flagged passages include position ranges and brief notes explaining why they contributed to the score. Users can adjust thresholds to suit risk tolerance or policy requirements.
Unique value lies in speed, privacy, and flexibility: no mandatory accounts, optional export, batch capabilities, and language-aware scores. Use it for classroom integrity checks, editorial workflows, or compliance reviews, with clear caveats about probabilistic results. In practice, the tool supports quick screening and deeper analysis, enabling human reviewers to make informed decisions about attribution, edits, or further verification.