Detects

Can You Detect ChatGPT-Written Text? Yes. ChatGPT (including GPT-3.5, GPT-4, and GPT-4o) produces text with identifiable patterns — consistent sentence lengths, overuse of transition phrases like “furthermore” and “it is worth noting,” and a distinctive lack of vocabulary variation. Our detector analyzes these signals at the word level, not just paragraph level. You see exactly which words and sentences carry ChatGPT’s fingerprint. How ChatGPT Text Differs from Human Writing Signal ChatGPT Tendency Human Tendency Sentence length Uniform (18-25 words) Highly variable Transition phrases Heavy (“Moreover,” “Additionally”) Sparse, informal Vocabulary range Narrow, formal Wide, mixed registers Punctuation Comma-heavy, few dashes Dashes, parentheses, fragments Hedging “It is important to note” Direct statements or personal opinion Why Our Detector Works Well on ChatGPT ChatGPT is the most widely-used AI writing tool, which means our training data has the deepest coverage of GPT-family outputs. Detection accuracy on unedited ChatGPT text typically reaches 90-95%. ...

Can You Detect Claude-Written Text? Yes. Claude (by Anthropic) has its own writing fingerprint — distinct from ChatGPT. Claude tends to produce longer, more nuanced paragraphs with careful qualifications. It frequently uses phrases like “I should note,” “it’s worth considering,” and “there are several factors at play.” Our detector identifies these Claude-specific patterns alongside general AI signals. How Claude Text Differs from ChatGPT Signal Claude Tendency ChatGPT Tendency Paragraph length Longer, more detailed Medium, structured Hedging style “I should note,” “it’s worth considering” “It is important to note,” “Furthermore” Tone Conversational, cautious Formal, authoritative Lists Fewer bullet points Loves bullet points Self-reference Sometimes says “I think” Avoids first person Detection Accuracy for Claude Claude 3.5 and Claude 4 produce more natural-sounding text than earlier versions. Detection accuracy on unedited Claude text is typically 85-92% — slightly lower than ChatGPT because Claude’s output is more varied. ...

Can You Detect DeepSeek Text? Yes. DeepSeek is a powerful open-source AI model from China that has gained global popularity. While its English output quality rivals GPT-4, it carries detectable patterns — particularly in sentence rhythm, transition usage, and a tendency toward comprehensive explanations. DeepSeek’s Writing Fingerprint DeepSeek text often features: Thorough explanations — tends to cover every angle, even when brevity would suffice Structured reasoning — “First… Second… Third…” patterns Technical precision — even in casual topics, vocabulary skews formal Balanced paragraphs — consistent length across sections Detection Accuracy On unedited DeepSeek output: 83-90%. DeepSeek V3 and R1 produce more natural text than earlier versions, but structural patterns remain detectable. ...

Can You Detect Google Gemini Text? Yes. Google’s Gemini models produce text with recognizable patterns — a tendency toward encyclopedic tone, balanced sentence structures, and careful neutrality that avoids strong opinions. How Gemini Text Differs from Other AI Signal Gemini Tendency ChatGPT Claude Tone Encyclopedic, neutral Formal, structured Conversational, cautious Opinions Avoids taking sides States positions Qualifies everything Structure Well-organized sections Bullet-point heavy Long paragraphs Vocabulary Academic, precise Formal, repetitive Natural, varied Detection Accuracy Gemini Pro and Ultra produce high-quality text, but the encyclopedic tone and structural consistency make detection reliable. Accuracy on unedited Gemini text: 85-90%. ...

Can You Detect GPT-4 Text? Yes, though GPT-4 is harder to detect than GPT-3.5. GPT-4 produces more natural, varied text — but it still carries statistical patterns that distinguish it from human writing. GPT-4 vs GPT-3.5: Detection Differences Aspect GPT-3.5 GPT-4 Sentence variety Low Medium Vocabulary range Narrow Broader Detection rate 90-95% 85-92% Common giveaway Repetitive transitions Overly balanced arguments GPT-4’s main giveaway is structural perfection — every paragraph is well-formed, every argument has a counterpoint, every list has exactly 3-5 items. Real humans are messier. ...

Can You Detect GPT-4o Text? Yes. GPT-4o (and GPT-4o mini) is OpenAI’s most accessible model — it powers the free tier of ChatGPT, making it the most widely used AI writing tool in the world. This also means our detector has extensive training data for GPT-4o patterns. GPT-4o’s Writing Patterns GPT-4o is more conversational than GPT-4 but still shows: Even sentence pacing — less variation than human writers Polite hedging — “That’s a great question,” “There are several perspectives” Structured responses — numbered lists, clear topic sentences Vocabulary consistency — same register throughout (no sudden shifts from formal to casual) Detection Accuracy GPT-4o: 83-90% on unedited text GPT-4o mini: 88-93% (simpler model = more obvious patterns) Quick Check Paste your text here → — free, instant, no sign-up. ...

Can You Detect LLaMA-Generated Text? Yes. Meta’s LLaMA models (including LLaMA 3 and 3.1) are open-source and widely used for local AI deployments, fine-tuned chatbots, and content generation. Despite being open-source, LLaMA outputs share core patterns with other large language models. LLaMA’s Characteristics Variable quality — depends heavily on fine-tuning and quantization Less polished than GPT-4 or Claude in default configurations More detectable in base form, less detectable when heavily fine-tuned Common in academic papers, coding assistants, and custom chatbots Detection Accuracy Base LLaMA 3 output: 85-92% detection rate. Fine-tuned variants (like from Hugging Face) may produce more diverse text, reducing detection to 75-85%. ...