Pangram verdict · v3.3
We believe that this document is a mix of AI-generated, AI-assisted, and human-written content
AI likelihood · overall
MixedArticle text · 1,068 words · 5 segments analyzed
AI Text DetectorWe 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.0 / 5000 wordsAI wrote it. We’ll catch it// FACTS ONLY — NO VECTOR VIBESLightning FastResults in under 10 seconds — even for long articles and research papersNo LimitsUnlimited checks. No hidden fees, no paywalls, no surprise limitsReal Linguistic AnalysisWe don't just guess. We use proven linguistic techniquesDetects 10+ AI ModelsGPT-5.5+, Claude 4.7+, Gemini, LLaMA, DeepSeek, Mistral, and others100% PrivateYour text is transmitted encrypted and never stored permanentlyPremium: PDF ReportGet a detailed report with highlights, scores, and methodology breakdownAnalysis ResultsHow It WorksGet detailed, sentence-by-sentence analysis with color-coded results in secondsExample ResultsHigh AI Probability Detected2.4s3 sentencesOverall Score87.3%AI-GeneratedAI (70-100%)Mixed (40-69%)Human (0-39%)Sentence-by-Sentence AnalysisArtificial intelligence has revolutionized numerous industries by automating complex tasks.92.4%Likely AIHowever, this rapid technological advancement raises important ethical considerations.54.1%MixedMy grandmother always said, "Technology is a tool, not a replacement for human judgment."18.7%Likely HumanUpgrade to Premium to see why each sentence was flaggedTrusted WorldwideBuilt for EveryoneTrusted across education, content creation, and business.Teachers & EducatorsVerify assignment authenticity and maintain academic integrity.50K+ educatorsBulk document scanningClass management toolsStudent history tracking50K+Educators200K+Students100K+Writers5K+CompaniesPricingSimple, TransparentChoose the plan that works for you. Cancel anytime.Monthly PlanPay as you go.
Cancel anytime.$19.99/monthEverything you needUnlimited text analysisSentence-by-sentence breakdown25+ detection methodsBatch processing (up to 100 files)Export to PDFHistorical data retentionPriority queueTestimonialsWhat real users sayFrom 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 studyResearch & MethodologyBuilt on peer-reviewed scienceOur detection engine uses validated linguistic metrics from leading academic institutionsPerplexityMeasures text predictability. Lower perplexity indicates higher likelihood of AI generation.Source: Academic Radiology (Elek et al., 2025) Median perplexity: Human 35.9 vs AI 21.2 (AUC=0.7794)BurstinessAnalyzes sentence variation. Human writing has higher variability in length and structure.Definition: "Burstiness refers to the variation in sentence structure and length. Human writing naturally has bursts and pauses, creating a rhythm."— HumTech (UCLA, 2025)Syntax DepthEvaluates syntactic complexity and tree structure. AI tends to produce simpler, more uniform sentence trees.Source: arXiv:2403.12984 (2025) Human syntactic depth variance: 2.4x higher than AIPeer-Reviewed ResearchMachine-generated text detection prevents language model collapseGeorge Drayson, Emine Yilmaz and Vasileios Lampos Centre for Artificial Intelligence Department of Computer Science University College London, UKAs LLMs become increasingly prevalent, they risk creating a future where machine-generated content dilutes human-authored text.Large Language Model Generated Text Detection: A Systematic SurveyWu, J., Yang, S., Zhan, R., Yuan, Y., & Wang, D. (2024). Tsinghua University & Peking UniversityComprehensive meta-analysis of 150+ detection methods with published benchmarks and standardized metricsRADAR: Robust AI-Text Detection via Adversarial LearningHu, X., Chen, P. Y., & Ho, T. Y. (2023). IBM Research & University of IllinoisIntroduced an adversarial training framework that maintains detection accuracy across multiple LLM architecturesMGTBench: Benchmarking Machine-Generated Text DetectionChakraborty, S., Bedi, A. S., Zhu, S., An, B., & Manocha, D. (2023).
University of Maryland & Amazon AIEvaluated 12 commercial detectors against 8 LLMs across 5 domains with statistical significance testingLeading ResearchersJames ZouStanford 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 IppolitoGoogle 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.Eric MitchellStanford 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.Chelsea FinnStanford University, Assistant Professor of CS"The general public needs more tools for knowing when we are reading model-generated text."Key Findings from Academic Research89% accuracy — Veritext detection model (ensemble learning combining XGBoost, LightGBM, CatBoost)95% accuracy — DetectGPT method (Stanford) in identifying LLM-generated text<2% false positive — achieved by leading perplexity-based detectors in third-party evaluations (BBC Tech reporting, 2023)arXiv:2507.10475 — First systematic comparison of diffusion vs AR text detectionFAQAI Detector — Frequently Asked QuestionsEverything 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 · EntropyTrusted 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.