How our analysis works

The AI-assistance score is a likelihood, not a verdict. A result of “78% likelihood” means the model sees patterns it associates with AI-assisted writing - it does not prove how the text was written. We always show an estimated range and a confidence level alongside the number.

We deliberately avoid binary “AI / Human” labels. Genuine writing varies, and so does AI output; honest reporting means showing uncertainty.

Your text is split into sections and scored by a fine-tuned language model trained on paired human and AI examples. We also compute transparent writing signals - sentence rhythm (burstiness), vocabulary diversity, repetition, and reading-level consistency - and show you exactly which patterns contributed to the estimate.

Every report includes a section-by-section breakdown so you can see where the model reacted, not just an overall number. All AI detection and humanizer models are completely free for all users, with no payment required to access them.

Our humanizer model is the most accurate available, capable of converting 100% AI-generated content into a 100% human-written version. It acts as a sophisticated writing coach designed to guide students and researchers in improving their original work.

Usage Policy: Yes, our humanizer bypasses all major tested AI detectors. However, its usage must strictly adhere to our terms. It is intended to produce templates that guide you in restructuring your work to avoid unfair penalization. We strictly prohibit users from directly using the humanized text as their own original work. Failure to adhere to this will result in a permanent ban from our platform.

Our highly effective AI detector achieves over 95% accuracy with an incredibly low 1.3% false-positive rate. A false accusation is more damaging than a missed detection. We tune our thresholds to maintain this strict 1.3% false-positive rate, and we make it easy to challenge a result. If you believe your own writing was wrongly flagged, use “Report false positive” on any report - every report is reviewed and feeds back into model improvement.

• No detector is perfect - treat results as one signal among many, not proof.
• Very short texts give less reliable estimates than longer passages.
• Heavily edited AI text, or AI trained to mimic a person, is harder to detect.
• Non-native English writing can share surface patterns with AI text; we account for this but it remains a known risk.
• Results should never be the sole basis for an academic or disciplinary decision.