AI Content Detector
Analyze text patterns to detect if content is AI-generated or human-written.
How to Use the AI Content Detector
Paste or type your text into the analyzer box above. The tool examines statistical patterns in the text to estimate the likelihood that it was generated by an AI model like ChatGPT, Gemini, or Claude. Results appear instantly. The detector analyzes sentence structure, vocabulary diversity, word patterns, and other linguistic markers that differ between AI-generated and human writing.
What This Tool Analyzes
The AI Content Detector examines five key factors:
- Sentence Length Variance: AI models tend to produce more uniform sentence lengths. Human writers naturally vary between short and long sentences. This tool measures the standard deviation of sentence lengths—higher variance suggests human writing.
- Vocabulary Diversity: Calculated using type-token ratio (unique words divided by total words). AI models sometimes repeat phrases and vocabulary patterns more predictably than humans do.
- Burstiness: Human writing has higher "burstiness"—sudden changes in sentence complexity and length. AI writing tends to be more consistently formatted.
- Transition Word Usage: AI models overuse connector words like "however," "moreover," "furthermore," "additionally," and "consequently." Humans are more varied in their use of transitions.
- Repetitive Patterns: AI models sometimes repeat phrase structures and sentence openings. This factor detects frequency of recurring patterns.
Why This Tool Isn't 100% Accurate
No AI detector is perfect. Modern LLMs are increasingly sophisticated at mimicking human writing patterns. Conversely, some human writing (technical documentation, scientific papers) naturally exhibits patterns similar to AI output. This tool provides estimates, not certainties. For critical decisions, combine this tool with other verification methods like checking metadata, source history, and domain expertise.
Common Uses for AI Detection
- Content Verification: Check if articles or blog posts are genuinely human-written or AI-generated.
- Academic Integrity: Educators can use pattern analysis to identify potentially AI-written student work (though this should be one factor among many).
- Quality Assurance: Marketing and content teams can assess whether their copywriters are using AI assistants responsibly.
- Social Media Monitoring: Identify suspicious accounts or content campaigns using AI generation at scale.
- Fact-Checking: AI-generated content doesn't guarantee misinformation, but it's useful context for verification workflows.
Frequently Asked Questions
Can this tool detect all types of AI-generated content?
This tool is best at detecting content from large language models like ChatGPT, Gemini, and Claude. Other forms of AI (image generators, video synthesis, voice AI) are outside the scope. Different LLMs produce slightly different patterns—newer models may evade older detection patterns.
What if someone edits AI-generated text to make it less detectable?
If human editing is applied to AI text, detection becomes harder. This detector works best on raw or lightly-edited AI output. Heavily edited content may score lower on the AI scale.
Is this tool privacy-safe?
Yes. This tool runs 100% in your browser. Your text never leaves your device. We don't store, log, or transmit any of the text you analyze. No accounts or login required.
Why does technical writing score high on AI probability?
Technical documentation naturally uses consistent terminology, longer sentences, and fewer transitions. These patterns overlap with AI writing characteristics. This tool isn't designed to be foolproof for highly technical or formal writing.
What's the minimum text length for accurate results?
For best results, use at least 100-150 words. Shorter text doesn't provide enough data for reliable statistical analysis. The tool will work with less, but results will be less confident.
Does punctuation or formatting affect the analysis?
The detector focuses on word and sentence structure, not punctuation marks. Formatting is stripped before analysis, so clean paragraphs vs. bullet points won't change results significantly.
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