AI-Powered Content Origin Detection

Get an Evidence-Based Verdict on Any AI-Generated Text

Paste any text and get a balanced AI-or-human verdict with specific indicators and examples from the text, not just a score.

Detect AI Text

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AI Text Detector

Paste any text and get a balanced, evidence-based analysis of whether it was written by AI or a human. Every indicator is explained with specific examples from the text.

Text to Analyze0 / 10,000

Cost per analysis

Results

AI Text Detector

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AI Text Detector

Paste your text on the left and click the button to see the results.

Verdict: Likely AI, Likely Human, or Uncertain
Confidence score with explanation
Specific AI indicators found (with text examples)
Specific human indicators found (with text examples)
Analysis across 8 dimensions
Balanced — does not default to AI detection

Analyst reviewing text analysis results on a laptop with detailed annotations

Evidence-Based Analysis, Not Just a Score

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Evidence-Based Analysis, Not Just a Score

Most AI detectors return a percentage with no explanation. This tool lists every specific indicator found — both AI indicators and human indicators — with a brief explanation of which part of the text triggered each one. You can see exactly why the verdict was reached and evaluate the evidence yourself. This makes the analysis useful whether you agree with the verdict or not.

Analyze Text Now

Student reviewing a falsely flagged essay with a concerned expression at a computer

Balanced — Does Not Default to AI Detection

Check Your Writing

Balanced — Does Not Default to AI Detection

Many AI detectors are biased toward flagging text as AI-generated, producing high false positive rates that incorrectly flag human writing. This tool is specifically calibrated not to assume AI by default. It only classifies text as AI-generated when there are clear, strong indicators present. When signals are mixed or weak, it returns an "Uncertain" verdict with a lower confidence score — an honest result rather than a false one.

Check Your Writing

Linguistic researcher analyzing text patterns on a whiteboard with color-coded categories

Analysis Across Eight Dimensions

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Analysis Across Eight Dimensions

The detailed analysis covers eight distinct dimensions: personal elements (anecdotes, opinions), language style (formal vs. natural), specificity (detailed vs. generic), imperfections (natural variations vs. perfect grammar), voice (unique vs. generic), cultural context, emotional tone, and structure (natural flow vs. templated). Each dimension is assessed and the result helps you understand the text at a deeper level regardless of the final verdict.

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How It Works

How to Detect AI-Generated Text

Paste the Text

Paste any text up to 10,000 characters. For best results, paste at least 100 words. Shorter texts produce less reliable results because there are fewer patterns to analyze.

AI Analyzes the Patterns

The AI examines the text across eight dimensions — language style, specificity, voice, structure, personal elements, emotional tone, imperfections, and cultural context — and identifies specific AI and human indicators.

Get the Verdict with Evidence

Receive a verdict (Likely AI, Likely Human, or Uncertain), a confidence score, a list of every indicator found with specific text examples, and a full 8-dimension analysis.

Detect AI Text

Who Uses It

Teacher reviewing student essay submissions on a laptop with careful attention

Use Case

Educators and Academic Institutions

Check student submissions for AI-generated content as part of an academic integrity review. The evidence-based output explains the reasoning so you can make an informed judgment rather than relying on an opaque score.

Editor reviewing a manuscript at a publishing desk with annotation notes

Use Case

Editors and Publishers

Screen submitted articles, blog posts, or manuscripts for AI-generated content before publication. Understand which specific patterns triggered detection so you can make editorial decisions with full context.

HR professional reviewing job application materials at a modern office desk

Use Case

HR and Recruitment Teams

Review job application cover letters, writing samples, and take-home assessments for authenticity. Identify candidates who may be using AI tools to generate application materials that do not reflect their actual writing ability.

Content manager reviewing freelance articles on a laptop at a marketing agency desk

Use Case

Content Managers and SEO Teams

Audit content from freelance writers and agencies for AI-generated text before publishing. Protect your site from search engine penalties associated with low-quality AI content and ensure the content your brand publishes reflects authentic expertise.

Detect AI Text

Deep Dive

How AI Text Detection Works

AI text detection is a probabilistic analysis — not a definitive verdict. Understanding how the analysis works and where its limitations lie helps you interpret the results correctly and make better decisions based on the output.

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What AI Detection Actually Measures

AI text detectors do not have access to the prompt, the model, or any metadata about how the text was produced. They analyze the statistical and stylistic properties of the text itself and compare those properties against patterns associated with AI-generated vs. human-written text. AI-generated text tends to be statistically "average" — it uses common words in common patterns, avoids unusual sentence structures, and produces consistent, predictable prose. Human text tends to be more variable, more specific, and more idiosyncratic. Detectors look for these differences.

PerplexityHow surprising or unpredictable each word is given the context — AI text tends to be low perplexity (predictable)

BurstinessHow much sentence length varies — human text tends to have high burstiness (mix of short and long sentences)

Lexical diversityThe variety of vocabulary used — AI text often uses a narrower, more repetitive vocabulary than human writing

No detector can be 100% accurate. All AI detection is probabilistic — it assigns likelihood, not certainty.

Why False Positives Happen

False positives — flagging human writing as AI-generated — are a significant problem with AI detection tools. They occur most commonly with formal or technical writing (academic papers, legal documents, medical writing) that uses structured, consistent language by convention rather than because it is AI-generated. Non-native English speakers are disproportionately flagged because their writing patterns differ from the native-speaker baseline. Any highly polished, carefully edited prose can be flagged because editing removes the "imperfections" that signal human authorship.

Academic writingFormal structure, passive voice, and technical vocabulary are conventions of the field — not AI signals

Non-native EnglishDifferent grammatical patterns and vocabulary choices can resemble AI text to detectors trained on native English

Heavily edited proseEditing removes natural variations and imperfections that signal human authorship — making polished writing harder to classify

This tool is specifically calibrated to reduce false positives. A low confidence score or "Uncertain" verdict means the evidence is genuinely ambiguous.

What Makes Text Clearly Human

The strongest human indicators are elements that AI models are structurally unlikely to produce: specific personal anecdotes with verifiable detail, genuine emotional inconsistency, culturally specific references tied to personal context, natural grammatical errors that reflect how a specific person thinks, highly idiosyncratic word choices, and opinions that go against the statistical average (controversial, unpopular, or highly specific views). These are hard for AI to fake because they require experience, emotion, or specific knowledge that a language model does not have.

Personal anecdoteSpecific, verifiable, personal experience with named people, places, and dates — AI invents these but they often lack specificity

Idiosyncratic vocabularyUnusual word choices, regional expressions, or a writing tic that appears consistently throughout the text

Emotional inconsistencyGenuine human emotion is not always coherent — frustration, humor, and sincerity mixed in ways that feel real rather than performed

If you want to make human writing less detectable as AI (or vice versa), these are the dimensions to focus on.

Limitations and How to Use Results

AI detection should never be the sole basis for a consequential decision — academic penalty, employment rejection, or content rejection. It is a screening tool that provides evidence to inform human judgment, not a definitive verdict. Use the indicator list to guide your own reading of the text. If the analysis flags generic, impersonal language as an AI indicator, read the text yourself and ask whether that matches your assessment. The confidence score reflects genuine uncertainty — an 55% score means the evidence is genuinely mixed, not that the tool failed.

Do use forInitial screening, prioritizing which submissions to review more carefully, informing editorial decisions

Do not use forSole basis for academic penalties, employment decisions, or public accusations of AI use

Confidence interpretationBelow 60% = genuinely ambiguous. 60–80% = moderate evidence. Above 80% = strong evidence. Not proof.

Always apply your own judgment alongside the detection result. The analysis provides evidence — the decision is yours.

Note: AI text detection is probabilistic and imperfect. No detector is 100% accurate. Use results as one input among several rather than as a definitive verdict.

Benefits

Why Use It

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Evidence, Not Just Scores

Every indicator — AI or human — is listed with a specific example from the text so you can evaluate the reasoning yourself.

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Balanced Analysis

Calibrated not to default to AI detection. Returns "Uncertain" when evidence is mixed rather than forcing a false verdict.

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Eight-Dimension Analysis

Language style, specificity, voice, structure, personal elements, emotional tone, imperfections, and cultural context — all assessed.

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Works with Any Text

Essays, articles, emails, social posts, academic papers, cover letters, and any other written content up to 10,000 characters.

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Frequently Asked Questions

How does the AI Text Detector work?

Paste any text and the AI analyzes its statistical and stylistic properties across eight dimensions: personal elements, language style, specificity, imperfections, voice, cultural context, emotional tone, and structure. It identifies specific AI and human indicators — with examples from the text — and returns a verdict with a confidence score.

How accurate is the detection?

AI text detection is probabilistic — not deterministic. Accuracy is higher with longer texts (200+ words) and when texts have strong, consistent patterns in one direction. Mixed-signal texts (edited human writing, structured academic writing, non-native English) are harder to classify accurately and receive lower confidence scores or an "Uncertain" verdict.

Can it detect ChatGPT, Claude, and Gemini outputs?

It analyzes the linguistic properties of the text regardless of which model produced it. Detection is based on patterns in the text rather than model-specific signatures, so it works across all major AI writing tools — though newer models that have been specifically trained to avoid detectable patterns are harder to classify accurately.

Will it flag human writing as AI?

This tool is specifically calibrated to reduce false positives. It does not default to AI detection. Formal, structured, or carefully edited human writing may still produce some AI indicators, but the tool weighs these against human indicators and only returns a high-confidence AI verdict when the evidence strongly supports it. Low confidence scores mean the evidence is genuinely ambiguous.

How much text do I need to paste for accurate results?

For reliable results, paste at least 100 words. Very short texts (under 50 words) have too few patterns to analyze reliably. Longer texts (300+ words) generally produce more accurate and confident results.

Can I use the results as proof of AI use?

No. AI detection results are probabilistic evidence, not proof. Do not use a detection result as the sole basis for an academic penalty, employment decision, or public accusation. The analysis should inform human judgment, not replace it.

What does an "Uncertain" verdict mean?

"Uncertain" means the text has mixed signals — some indicators suggesting AI and some suggesting human authorship — and the evidence is not strong enough to classify it reliably in either direction. This is an honest result, not a failure. It means you should read the text yourself and apply your own judgment.

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Disclaimer: This tool uses generative AI technology which may produce content that resembles copyrighted materials or that is inaccurate, incomplete, or out-of-date. It is provided for general information and educational purposes only and is not intended for illegal activities or to replace professional advice, diagnosis, or treatment. Users are solely responsible for how they use the generated content. If you plan to use AI-generated content commercially or publicly, we strongly recommend reviewing it for potential copyright issues and obtaining proper permissions where necessary. We accept no liability for copyright infringement or any other consequences resulting from the use of content generated by this tool.