We created AI Detector by Ceptile after closely auditing the dominant commercial tools across the AI detection market: ZeroGPT with its proprietary DeepAnalyse™ branding and restrictive character paywalls; QuillBot with its subscription-gated highlights; GPTZero with its enterprise server pipeline; Originality.ai with its closed-source classifier and credit tokens; and Copyleaks with its enterprise writing-replay cloud. While technically impressive, all of them share a fatal architectural compromise:you paste proprietary writing or upload confidential media to someone else's remote server and receive a percentage score you cannot independently verify.
In practice, this cloud-dependent model incurs three severe penalties:
- Privacy and Confidentiality Destruction: Student essays, unpublished book manuscripts, attorney-client privileged briefs, and proprietary code are transmitted across external networks and stored in third-party database logs, exposing organizations to data breach and regulatory compliance liabilities.
- Zero Accountability and Unchallengeable Accusations: A bare percentage score (e.g., “94% AI”) cannot be cross-examined in an academic hearing or editorial dispute. When a false accusation occurs, the student or author has no mathematical evidence to defend themselves.
- Scientific Obfuscation: Marketing claims boasting “99% accuracy” consistently collapse when subjected to independent, cross-genre academic benchmarks or applied to non-native English speakers.
We engineered the complete antithesis: an open-box statistical instrument with zero server-side inference and zero data uploads. Our client-side engine computes 46 published linguistic signals alongside forensic image, video, and audio discriminators. Every score includes an honest prior assumption (“assume human authorship until empirical evidence proves otherwise”) and a bootstrapped 90% confidence interval. If an analysis result seems erroneous, you can inspect the exact signal row responsible in your browser’s developer tools.
46
Linguistic signals published
Measured value, reference means, z-scores, separation deltas, and regression weights for every signal.
0.966
Cross-validated AUC metric
Evaluated on 2,743 real-world documents across 5-fold cross-validation with length-matched controls.
0
Bytes uploaded to any server
100% on-device execution. Works completely offline after initial page load. Verify via the Network tab.