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ChatGPT Detector

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Detect text generated by ChatGPT with multi-model analysis

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ChatGPT is the world's most popular AI writing tool, which makes it the most important one to detect. ChatGPT output has distinctive characteristics: balanced paragraph structures, heavy use of transition phrases ("Moreover," "Furthermore," "In addition"), predictable sentence length patterns, and a tendency toward comprehensive but generic coverage of topics. Our detector is trained to identify these specific patterns.

Coda One's ChatGPT Detector uses three analysis models working in parallel. The statistical model catches ChatGPT's unnaturally uniform sentence lengths and limited vocabulary variation. The pattern model identifies ChatGPT-specific phrases and structural patterns. The ensemble model combines signals for an overall confidence score. This multi-angle approach is more reliable than single-model detectors.

The per-sentence analysis is particularly useful for ChatGPT detection. ChatGPT tends to produce sentences with similar AI signatures throughout, so you'll see consistent high scores across sentences (unlike human writing with AI-edited sections, which shows more variation). This pattern consistency itself is a strong indicator of full ChatGPT generation.

Frequently Asked Questions

Can this detect all ChatGPT models (GPT-3.5, GPT-4, GPT-4o)?
Yes. While GPT-4 and GPT-4o produce more sophisticated text than GPT-3.5, all ChatGPT models share core writing patterns that our detector identifies. GPT-3.5 text is typically easier to detect (higher scores), while GPT-4o may score slightly lower but still shows detectable patterns in our multi-model analysis.
What if someone edited the ChatGPT output?
Light editing (fixing typos, adjusting a few words) usually doesn't significantly change detection scores. Moderate editing (rewriting some sentences) will lower scores partially. Heavy rewriting or humanization can significantly reduce detection -- this is why per-sentence analysis matters, as it reveals which parts were edited versus left as-is.
How does the detector handle ChatGPT custom instructions?
ChatGPT with custom instructions or specific personas may produce less formulaic text, which can lower detection scores slightly. However, core statistical patterns (sentence length variance, vocabulary richness) remain largely unchanged regardless of custom instructions. Our detector catches these deeper patterns.
Can I detect ChatGPT text that's been translated?
Translation significantly alters text patterns, making AI detection unreliable. If text was generated by ChatGPT in English and then translated (or vice versa), detection accuracy drops substantially. The detector works best with text in its original language of generation.
What detection score indicates ChatGPT use?
Raw ChatGPT output typically scores 75-95% on our detector. Scores above 70% strongly suggest AI generation. Scores between 50-70% indicate possible AI involvement or AI-assisted writing. Below 30% is generally considered human-written, though exceptions exist for very structured content.

Also Available For

Teachers Students Academic Writing Publishers Claude Gemini Gpt 4 Deepseek Journalism Hr

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