AI Content Detector
Detect whether text was generated by AI models like ChatGPT, GPT-4, Claude, or Gemini using heuristic analysis across six signals including AI signature phrases, sentence uniformity, and vocabulary diversity.
What is an AI Content Detector?
An AI content detector is a tool that analyzes text to determine whether it was likely written by a human or generated by an artificial intelligence model such as ChatGPT, GPT-4, Claude, or Gemini. These detectors examine various linguistic patterns and statistical properties that tend to differ between human-written and AI-generated text.
Our AI content detector uses six heuristic signals to assess the probability that a given text is AI-generated. Unlike API-based detectors that rely on proprietary black-box models, our approach is transparent — each signal is clearly defined and you can see exactly how the overall score is calculated.
How the Six Signals Work
1. AI Signature Phrases: AI language models often use characteristic phrases like "as an AI," "as a language model," "my knowledge cutoff," or "I don't have personal opinions." The presence of these patterns strongly suggests AI authorship.
2. Sentence Uniformity: AI-generated text tends to have more uniform sentence lengths compared to human writing. We measure this using the coefficient of variation (CV) of sentence lengths — a lower CV indicates more uniform sentences, which is characteristic of AI output.
3. Transition Word Density: AI models frequently use transition words and phrases such as "however," "moreover," "furthermore," and "consequently" to create logical flow. An unusually high density of these transitions can indicate AI generation.
4. Passive Voice Usage: AI-generated text typically uses less passive voice than human writing. While not definitive on its own, very low passive voice usage combined with other signals can be indicative of AI authorship.
5. Formal Vocabulary: AI models tend to favor formal, academic vocabulary. Words like "utilize," "demonstrate," "facilitate," and "subsequently" appear more frequently in AI-generated text. Our detector measures the density of such formal words.
6. Vocabulary Diversity (TTR): The Type-Token Ratio measures the ratio of unique words to total words. AI-generated text often has a characteristic TTR pattern that differs from natural human writing, which tends to have more varied vocabulary.
How to Use the AI Content Detector
Simply paste or type the text you want to analyze into the input area on the left. The tool will automatically analyze your text and display a detailed breakdown of each signal on the right, along with an overall AI probability score. You can also upload a text file using the file upload button for analysis.
For other text analysis needs, try the Headline Analyzer to evaluate the quality and emotional appeal of your headlines, or the Character Counter for quick word and character counts.
Frequently Asked Questions
How accurate is this AI content detector?
This detector uses heuristic analysis based on known linguistic patterns in AI-generated text. While it provides a useful indication, no AI detector is 100% accurate. It works best on longer texts (100+ words) and should be used as one of several tools in your assessment toolkit.
Can I trick the AI detector?
Determined users can modify AI-generated text to evade detection by varying sentence structure, reducing transition word usage, and adding personal touches. However, our multi-signal approach makes it harder to consistently bypass detection.
What minimum text length is needed?
For reliable results, we recommend analyzing at least 50-100 words. The tool requires a minimum of 5 words to produce any analysis, but shorter texts will have lower statistical significance.