AI or Not

Our AI detector runs your text through a model trained on large amounts of human-written and AI-written text and estimates how closely it matches AI-generated writing. It returns an AI-probability score, a confidence level, and, for supported languages, the sentences that read as AI.

AI or Not is built to flag text from today’s most popular models — including ChatGPT, Claude, Gemini, and many others. Rather than matching one model’s signature, it looks for the structural patterns AI-generated writing tends to share, such as uniform sentence length and predictable transitions, so it also catches text from newer or less common tools as they appear.

A high score means the text closely matches patterns the model has learned from AI-generated writing. It does not definitively prove the text was written by AI: some careful or formulaic human writing naturally lands in the same range, which is why AI or Not reports a probability rather than a yes-or-no verdict.

Yes. AI or Not offers free daily usage with no account required: 5 free text checks per day. Sign up to keep your history and get 100 free credits.

Edit the flagged sentences by hand: vary your sentence length, swap out template-style transitions like “moreover” and “in conclusion,” cut generic filler, and add specific detail and your own voice. Those uniform, predictable patterns are what push the score up.

Yes. Alongside text, AI or Not has dedicated detectors for AI images, video, voice, and music — each tuned to its own kind of content. Choose the matching detector from the menu and upload your file.

Yes. Because AI or Not analyzes structural patterns — sentence rhythm, repetition, and predictability — rather than the meaning of specific words, it works on text in many languages, not just English. That said, results are usually most reliable on languages with more training data behind them; for less-represented languages, treat the score as a softer signal.

Yes — no detector is flawless, and we won’t pretend otherwise. But AI or Not is built on leading AI-detection technology, with models trained on large, continuously updated datasets and tuned to keep false positives low — so a confident result is genuinely confident. The hardest cases are very short, highly technical, or mixed human-and-AI text; there, treat the score as strong evidence to weigh with context, not a final verdict.