AI Text Detector
We analyze linguistic patterns to detect AI-generated text — showing you not just a score, but the why behind every verdict. No black boxes. No guesswork. 99.5% accuracy.
AI wrote it. We’ll catch it
// FACTS ONLY — NO VECTOR VIBES
Lightning Fast
Results in under 10 seconds — even for long articles and research papers
No Limits
Unlimited checks. No hidden fees, no paywalls, no surprise limits
Real Linguistic Analysis
We don't just guess. We use proven linguistic techniques
Detects 10+ AI Models
GPT-5.5+, Claude 4.7+, Gemini, LLaMA, DeepSeek, Mistral, and others
100% Private
Your text is transmitted encrypted and never stored permanently
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Get a detailed report with highlights, scores, and methodology breakdown
How It Works
Get detailed, sentence-by-sentence analysis with color-coded results in seconds
Sentence-by-Sentence Analysis
Artificial intelligence has revolutionized numerous industries by automating complex tasks.
However, this rapid technological advancement raises important ethical considerations.
My grandmother always said, "Technology is a tool, not a replacement for human judgment."
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Trusted across education, content creation, and business.
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What real users say
From students to professors, writers to business owners
"I was paranoid my own essays would get flagged as AI because I use Grammarly. This tool gave me peace of mind. It showed my writing is fine."
Jessica M.
Senior, Michigan State
"My friend got accused of using ChatGPT. I ran his paper through this and it came back clean. He showed it to the professor and they dropped the case."
Tyler R.
Freshman, Community College
"I use it to double check my discussion posts before submitting. It caught a few sentences that sounded weird. Rewrote them and felt much better."
Amanda K.
Grad Student, NYU
"Some AI checkers say everything is AI. This one is more balanced. It correctly identified my original work as human. That's rare."
Carlos G.
Undergrad, UCLA
"I need evidence before I talk to a student about potential AI use. This tool gives me sentence level feedback that I can actually use in a conversation."
Dr. Laura H.
English Professor
"Our department tried three different detectors. This was the only one that didn't cause a ton of false positives."
Michael S.
High School Teacher
"Editors are getting strict about AI. I check everything before I hit send. This detector has never let me down. No false flags."
Rachel P.
Freelance Journalist
"I run client submissions through this. It catches AI content that other tools miss. My clients appreciate the extra quality control."
David L.
Copy Editor
"I hire writers for my blog. One guy was clearly using AI but charging human rates. This detector proved it. Saved me hundreds of dollars."
Nina T.
Small Business Owner
"The tool my university was using kept flagging real student work. This one doesn't. Made my case to the department chair."
Patricia M.
Professor, Community College
"Tried a few other tools. They kept telling me my human-written papers were AI. Frustrating. This one actually gets it right most of the time."
Daniel P.
PhD Candidate, History Department
"After testing against thousands of samples, this detector had the lowest false positive rate."
Independent user study
Built on peer-reviewed science
Our detection engine uses validated linguistic metrics from leading academic institutions
Measures text predictability. Lower perplexity indicates higher likelihood of AI generation.
Median perplexity: Human 35.9 vs AI 21.2 (AUC=0.7794)
Analyzes sentence variation. Human writing has higher variability in length and structure.
— HumTech (UCLA, 2025)
Evaluates syntactic complexity and tree structure. AI tends to produce simpler, more uniform sentence trees.
Human syntactic depth variance: 2.4x higher than AI
Machine-generated text detection prevents language model collapse
George Drayson, Emine Yilmaz and Vasileios Lampos Centre for Artificial Intelligence Department of Computer Science University College London, UK
As LLMs become increasingly prevalent, they risk creating a future where machine-generated content dilutes human-authored text.
James Zou
Stanford University, Biomedical Data Science
"Detectors typically evaluate content based on 'perplexity,' a metric that correlates with the sophistication of the writing..."
Stanford Study on AI Detectors (2023)
Read →Daphne Ippolito
Google Brain, Senior Research Scientist
"Automatic detection of generated text is easiest when humans are fooled" — research paper (ACL 2020) examining human ability to detect AI-generated text.
ACL 2020
Read →Eric Mitchell
Stanford University, PhD Candidate
"We need a new level of infrastructure and tools to provide guardrails around these models," says Mitchell, whose research achieving 95% accuracy in detecting LLM outputs.
Stanford HAI (2023)
Read →Chelsea Finn
Stanford University, Assistant Professor of CS
"The general public needs more tools for knowing when we are reading model-generated text."
Stanford HAI (2023)
Read →AI Detector — Frequently Asked Questions
Everything you need to know about our AI checker, detection methodology, and plans.
An AI detector (also called AI checker) is a tool that analyzes text to determine whether it was written by a human or generated by artificial intelligence models like ChatGPT, GPT-5, Gemini, or Llama. Our detector uses three core linguistic metrics: perplexity (text predictability), burstiness (sentence length variability), and entropy (word choice randomness). Lower perplexity, low burstiness, and lower entropy typically indicate AI-generated content. These methods are based on peer-reviewed research from Stanford, UCLA, and AISTATS 2025.
AI Detector · AI Checker · ChatGPT Detector · GPT-5 Detector · Perplexity · Burstiness · Entropy
Trusted by thousands of educators, students, writers, and businesses. Our linguistic model is based on peer-reviewed research. For bulk scanning, API access, and professional reports — upgrade to Premium.