False positive
Human-written text may be classified as likely AI-generated. This is why a score should never be the sole basis for disciplinary, employment, publishing or legal decisions.
AI Text Detection
AI Content Detector
Analyze text with machine-learning AI detection. Review the estimated AI probability, human probability, confidence, classification label, word count, and detector model.
AI-Powered
Advanced machine learning analysis
of writing patterns.
Clear Results
Review AI probability, human probability,
confidence, and classification.
Fast Analysis
Get detection results in seconds
with one click.
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Paste your text
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AI Detection Result
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AI Probability
Analysis complete
The detector has analyzed the submitted text.
AI Probability
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Human Probability
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Confidence
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SiteSEOAnalyzer
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Words
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Edit or Rewrite Your Text
Review the analyzed text, make manual changes, copy it, or send it to the rewrite assistant.
Understanding Your AI Detector Results
The AI Content Detector provides several analytical signals to help you understand how the submitted text is classified. These results are estimates and should be treated as supporting evidence rather than definitive proof of who or what produced the content.
AI Probability
Shows the estimated likelihood that the analyzed text resembles AI-generated writing.
Human Probability
Shows the estimated likelihood that the analyzed text resembles human-written content.
Confidence
Indicates the confidence associated with the detector's classification result.
Model & Label
Shows the detector's returned classification label and the machine-learning model used for the analysis.
Free AI Content Detector
Our AI Content Detector analyzes text to estimate whether it resembles AI-generated writing. Paste your text into the detector to receive an AI probability, human probability, confidence information, classification details, word count, and model information.
The detector uses a machine-learning text-classification model to estimate whether submitted writing resembles AI-generated or human-written text. The result includes probabilities, confidence, classification information, word count, and the detector model.
AI detection results should be treated as analytical evidence, not as definitive proof of authorship. Text length, editing, paraphrasing, translation, and other factors can affect detection results.
How Does the AI Content Detector Work?
Paste Your Text
Add the text you want to analyze. Longer samples generally provide more useful information than very short passages.
AI Text Classification
The detector analyzes the submitted writing and returns AI probability, human probability, classification, and confidence information.
Statistical Analysis
The detector also returns classification details, including its label, confidence, word count, and model information.
Review the Results
Review the probabilities and classification together, and interpret the result in context rather than treating a single score as definitive proof of authorship.
What Does AI Probability Mean?
AI probability is the detector's estimate of how strongly the analyzed text resembles AI-generated writing according to its model output.
For example, an AI probability of 82% does not mean that there is an 82% certainty that a particular person used ChatGPT or another specific AI system. It is a model-generated probability estimate for the submitted text.
Important:
AI probability should be interpreted together with confidence,
text length, classification, and other available detection
signals. It should not be used alone to make high-stakes
decisions about authorship.
What Does Human Probability Mean?
Human probability represents the classifier's estimate that the analyzed text resembles human-written writing.
A high human probability does not prove that a human wrote the text. Similarly, a high AI probability does not prove that an AI system generated it. Both values are model outputs that should be interpreted as analytical signals.
Can an AI Detector Prove That Text Was Written by AI?
No. An AI detector provides an analytical estimate rather than definitive proof of authorship.
AI-generated text can be edited, paraphrased, translated, or otherwise modified. Human-written text can also contain patterns that resemble AI-generated writing.
For academic, employment, publishing, legal, or other important decisions, AI detection should be considered alongside additional evidence and human review.
Who Can Use an AI Content Detector?
- Students and educators: review writing as one additional analytical signal.
- Writers and editors: examine drafts for characteristics associated with AI writing.
- Publishers: add AI-content analysis to editorial workflows.
- SEO professionals: review AI-assisted content before publishing.
- Businesses: analyze AI-assisted marketing copy, documentation, and other written material.
How Accurate Is an AI Content Detector?
No AI content detector can guarantee 100% accuracy. A detector estimates whether writing resembles patterns associated with AI-generated or human-written text. The result is an analytical signal, not proof of authorship.
Accuracy can vary with text length, writing style, language, subject, formatting, editing, paraphrasing and translation. Short passages usually provide less evidence than complete, coherent samples. Highly structured human writing can sometimes resemble generated text, while extensively edited AI-assisted writing may resemble human writing.
False negative
AI-assisted text may be classified as human-like, especially after rewriting, editing, translation or combining generated passages with original writing.
Professional interpretation:
review AI probability, human probability, confidence, sample
length and classification together. For important decisions,
combine the report with drafts, revision history, citations,
interviews and qualified human review.
How to Review AI Detection Results Responsibly
- Submit a meaningful sample. Use a complete passage with enough connected writing for analysis. Remove navigation, references or unrelated text unless they are part of the material being reviewed.
- Check the complete result. Do not rely on the classification label alone. Compare AI probability, human probability, confidence, model information and analyzed word count.
- Consider how the text was produced. Translation, grammar correction, templates, accessibility software and legitimate AI-assisted editing may influence detectable writing patterns.
- Review additional evidence. Examine source notes, drafts, version history, citations, factual accuracy and the writer's ability to explain the work.
- Document the decision. Record the analyzed sample, date and surrounding context. Treat the detector output as supporting evidence rather than a final judgment.
AI Content Detector vs Plagiarism Checker
An AI detector and a plagiarism checker answer different questions. One estimates writing patterns; the other searches for textual similarity with existing sources. A passage can be original but AI-assisted, or human-written while containing copied material.
| Review type | AI content detector | Plagiarism checker |
|---|---|---|
| Primary question | Does the writing resemble patterns associated with generated text? | Does the text match material found in indexed sources? |
| Typical output | Probability, confidence and classification | Similarity percentage and matching sources |
| Can it prove authorship? | No | No |
| Best use | Supporting editorial or academic review | Checking attribution and textual overlap |
What This AI Content Detector Can and Cannot Determine
What the tool can provide
- An estimated AI probability and human probability
- A model-generated classification and confidence
- Word-count and detector-model information
- A repeatable first-pass review of submitted text
- Supporting evidence for a broader human review
What the tool cannot prove
- Who wrote or edited the submitted text
- Whether ChatGPT or another specific model was used
- Whether a student, employee or author acted improperly
- Whether every factual claim is correct
- That a classification is 100% accurate
How This AI Content Detector Produces Its Findings
The tool sends the text entered by the user to the configured detection service. The service evaluates statistical and linguistic characteristics in the submitted sample and returns structured classification data. The interface then presents the available AI probability, human probability, confidence, classification, word count and detector-model information.
The displayed values represent the model output for that specific sample at the time of analysis. Changing the text can change the result. The system does not independently identify the author, inspect private document history or verify which writing application produced the passage.
For reproducible research, retain the analyzed text, analysis date and reported model information. Compare like-for-like samples and avoid presenting a detector score as verified proof of misconduct, machine authorship or human authorship.
Using an AI Content Detector for Education, Publishing and SEO
Teachers can use detection as a prompt for discussion about a student's process, sources and drafts. Editors can use it as one quality-control signal when reviewing submitted content. Publishers and SEO teams can combine it with fact-checking, originality review, source verification and editorial standards before publication.
Search performance does not depend on whether a detector labels writing as human or AI. Useful content still needs to satisfy its audience, answer the intended question, demonstrate accuracy and provide a clear reason to trust the information. Detection should support content governance—not replace subject expertise or editorial judgment.
Frequently Asked Questions
What is an AI Content Detector?
An AI Content Detector analyzes text for characteristics associated with AI-generated writing and provides an estimated AI probability or classification.
Is this AI Content Detector free?
Yes. The public AI Content Detector is available through SiteSEOAnalyzer.
How accurate is an AI detector?
AI detectors are not perfect. Results can vary depending on text length, writing style, editing, paraphrasing, translation, and other factors. Detection results should be treated as evidence rather than definitive proof.
Can an AI detector detect ChatGPT?
An AI detector can identify characteristics associated with AI-generated writing, but a detection result cannot reliably prove that ChatGPT specifically generated a particular passage.
Can the detector identify which AI wrote the text?
No. The detector does not provide definitive identification of a particular AI provider or model.
What does AI probability mean?
AI probability is the classifier's estimate of how strongly the analyzed text resembles AI-generated writing. It is a model output and not definitive proof of authorship.
Can AI detectors produce false positives?
Yes. Human-written text can sometimes be classified as AI-generated. Results should therefore be interpreted with appropriate context and human review.
Can paraphrasing affect AI detection?
Yes. Editing, paraphrasing, translating, or substantially rewriting text can change the signals analyzed by AI detectors.