🤖 Free AI Tool

Free AI Content Detector

Check if text was written by ChatGPT, Claude, Gemini or any AI model. Instant results, no login required. Trusted by SEO professionals and content teams worldwide.

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AI Score

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Signal Breakdown

Text Predictability
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Sentence Uniformity
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Disclaimer: No AI detector is 100% accurate. This tool analyzes statistical writing patterns and provides a probability estimate — not a definitive verdict. Always combine tool results with human editorial judgment. False positives can occur with highly structured writing or non-native English text.

How Does AI Content Detection Work?

AI content detectors analyze writing using two primary signals developed from computational linguistics research: perplexity and burstiness. Understanding these signals helps you interpret your results accurately.

Perplexity: Word Predictability

Language models like ChatGPT predict the most statistically probable next word given the context. This makes AI-generated text more predictable than human writing — humans make unexpected word choices, use idioms, digress, and express genuine personality. High predictability in text is the single strongest signal of AI authorship. Our detector measures how surprising each word choice is relative to what a language model would predict.

Burstiness: Sentence Length Variation

Humans write with natural rhythm — short punchy sentences followed by longer, more complex ones. AI tends to produce sentences of similar length and structure throughout a piece. This uniformity is called low burstiness. Our detector measures the variance in sentence length: high variance suggests human writing, low variance suggests AI generation.

What AI Content Detectors Cannot Do

No detector can identify AI content with 100% certainty. Thoroughly edited AI content, AI content written with high-temperature settings (more random), and text by non-native English speakers who write in a formal, structured way can all produce false positives or false negatives. Use detection scores as one signal among many — not as a final verdict.

Frequently Asked Questions

AI detectors analyze text using two main signals: perplexity (how predictable word choices are — AI tends to choose statistically likely words) and burstiness (variation in sentence length — AI produces uniform sentence structures while humans write with more variation). Our tool analyzes these patterns to estimate the probability of AI authorship.
Google's official position is that AI-generated content is acceptable if it is helpful, accurate and meets their quality guidelines. Google targets low-quality, mass-produced content — not AI content specifically. However, AI content that lacks E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness) is more likely to underperform in rankings.
AI content itself is not penalized by Google. What gets penalized is thin, unhelpful, or mass-produced content regardless of how it was written. Well-edited AI content that adds genuine value, cites sources, includes original insights, and demonstrates E-E-A-T can rank just as well as human-written content.
No AI detector is 100% accurate. Even the best commercial tools have false positive rates of 2–8%. Well-edited AI content, content by non-native English speakers, and highly technical writing often produce false positives. Use AI detection as a signal to review, not as a definitive verdict.
Scores below 30% suggest predominantly human-written content. Scores between 30–60% suggest mixed or AI-assisted content. Scores above 60% suggest predominantly AI-generated content. These thresholds are guidelines, not certainties — always combine tool results with human editorial judgment.
No. Google's guidelines target "scaled content abuse" — mass-producing pages with little value regardless of whether AI or humans wrote them. Google explicitly states that using AI to create helpful content does not violate their guidelines. The key question is always: is this content helpful to users?
Thorough human editing reduces detection scores significantly. Add personal anecdotes, specific data, original opinions, varied sentence lengths, and natural digressions. Include contractions, colloquialisms, and industry-specific terminology. The goal should be creating genuinely valuable content — not bypassing detectors.

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