AI Detector: Free AI Checker for ChatGPT, Claude & Gemini | Pangram
Products Solutions Company Resources PricingContact SalesLoginTry It for FreeTry It for FreeNEWTry our Gmail integrationAn AI detector that actually works.Detect AI-generated content with remarkable accuracy. Trusted by universities, schools, and enterprises worldwide.Text DetectionImage DetectionNEWDetects AI AssistanceFree Credits99.9%+ Accuracy3rd-Party VerifiedUploadCheck for AIText DetectionImage DetectionNEWUpload an image to check for AI3 free scans per dayPaste or drag and drop it here, or upload a fileJPG, PNG, WebP • min 512×512px • up to 30MB eachTry a sample imageUploadCheck for AITry It for FreePartner With UsProven the most reliable and accurate AI detector on the market by third party researchers, including the University of Maryland and the University of Chicago.Trusted byGlobal BrandsWhat is an AI detector and should you use one?Try for FreeAI writing has tells0101AI writing has tellsAI writing contains structural, stylistic, and semantic patterns that can all be detected by a trained eye or sufficiently sophisticated detection software. AI detection is not magic. It can actually work.NextPangram detects them0202Pangram detects themPangram's AI detector uses natural language processing and a massive data set of human and AI writing to analyze patterns in AI generated text created by popular models like ChatGPT, Gemini, Grok, Llama and Claude.Pangram's accuracy leads the industry and has been verified by researchers at the University of Chicago and University of Maryland.NextContent transparency is critical0303Content transparency is criticalIn an era where AI-generated content is increasingly prevalent in academia, media, and business, the ability to distinguish between human and machine-authored text is critical. In education, it creates trust between students and teachers. It's important in journalism where integrity is essential. AI-generated text isn't inherently bad. However, society can benefit from being able to distinguish between AI and human text.Next01AI writing has tellsAI writing has tellsAI writing contains structural, stylistic, and semantic patterns that can all be detected by a trained eye or sufficiently sophisticated detection software. AI detection is not magic. It can actually work.02Pangram detects themPangram detects themPangram's AI detector uses natural language processing and a massive data set of human and AI writing to analyze patterns in AI generated text created by popular models like ChatGPT, Gemini, Grok, Llama and Claude.Pangram's accuracy leads the industry and has been verified by researchers at the University of Chicago and University of Maryland.03Content transparency is criticalContent transparency is criticalIn an era where AI-generated content is increasingly prevalent in academia, media, and business, the ability to distinguish between human and machine-authored text is critical. In education, it creates trust between students and teachers. It's important in journalism where integrity is essential. AI-generated text isn't inherently bad. However, society can benefit from being able to distinguish between AI and human text.Always up to dateDoes Pangram detectthe latest AI models?Yes. Pangram is trained specifically to detect the latest AI models from frontier labs like OpenAI, Anthropic, Google, Meta, DeepSeek, xAI, and more. We benchmark against 26 models (so far) and they are available to see on our model card. We're accurate on 99.7% of these AI-generated samples. We test broadly on every Pangram release and retest on every major model release.AnthropicClaude Opus 599.8% accuracyTested Jul 2026OpenAIGPT 5.699.6% accuracyTested Jul 2026GoogleGemini 399.5% accuracyTested Nov 2025xAIGrok 4.399.4% accuracyBenchmarked Jul 2026Also benchmarkedSee the full benchmarkClaude Sonnet 599.9%Claude Fable 599.7%GPT-5.499.7%GPT-OSS 120B99.8%DeepSeek V499.6%Llama 3.399.5%Mistral Medium 3.599.6%Kimi K2.699.6%Qwen 3.7 Max99.7%Gemma 499.6%Nemotron 3 Ultra99.7%GLM 5.299.5%Our productDetect AIand plagiarismPangram combines cutting-edge AI and comprehensive plagiarism detection to give you the complete picture of text authenticity and get the information you need, all in one place. Pangram also detects AI-generated images.AI Segment AnalysisPangram won't just tell you how confident it is that the document is AI, but also how much of it is.AI AssistancePangram will highlight segments that have been edited by AI rather than fully AI-generated.Plagiarism CheckerCheck for plagiarism and AI all at once. Perform an AI plagiarism check with one click.FeaturesHow is Pangram'sAI detector different?There are many AI detectors available, but Pangram is different. It actually works. We also provide advanced features backed by peer-reviewed research that allow users to understand the origin of a piece of writing.Years of researchUses proprietary technology with years of research and development behind it, not an open source model or commercial LLMs covered with branding.Trained on diverse data setsPangram relies on diverse datasets, hard negative mining, and active learning to achieve industry-leading FPRs rather than perplexity and burstiness, which often fail in practice.Detects all LLMsPangram can detect content from all major language models including ChatGPT, Claude, Gemini, Llama and more, making it a comprehensive solution for AI detection.Supports 20+ languagesOur AI detection works across more than 20 languages, making it a truly global, multilingual solution for institutions and businesses worldwide.Out-performed trained humansIndependent studies have shown that Pangram's AI detection outperforms trained human readers in identifying AI-generated content.Detects humanized textPangram can detect AI-generated text even after it has been "humanized," or processed by tools that attempt to evade AI detection, ensuring reliable detection.Verified accuracyOur accuracy and reliability have been independently verified by third-party researchers and educational institutions.Who we areAbout PangramAt Pangram, our mission is to rebuild trust amidst the increase in generative AI content. Founded in Brooklyn, NY, in 2023 by AI researchers from Tesla and Google, we continue to contribute to the research community to increase transparency. If you're interested, read more about our contributions and collaborations.How it worksHow Pangram's AI detector works01Input your textCopy and paste your text into the field or upload files. Pangram supports PDF, DOCX, RTF files and up to 100 files at a time.02Scan for AI contentPangram analyzes your text using advanced AI detection algorithms to identify AI-generated content with high accuracy.03View resultsReview detailed results showing AI detection scores, highlighted sections, and comprehensive analysis of your text.04Access past recordsAccess your complete history of scans, download reports, and manage your past detection records all in one place.Pangram is also integrated into Chrome browser, Google Docs, and many learning management systems like Google Classroom and Canvas.01Input your textCopy and paste your text into the field or upload files. Pangram supports PDF, DOCX, RTF files and up to 100 files at a time.02Scan for AI contentPangram analyzes your text using advanced AI detection algorithms to identify AI-generated content with high accuracy.03View resultsReview detailed results showing AI detection scores, highlighted sections, and comprehensive analysis of your text.04Access past recordsAccess your complete history of scans, download reports, and manage your past detection records all in one place.Pangram is also integrated into Chrome browser, Google Docs, and many learning management systems like Google Classroom and Canvas.SolutionsProtect authenticityin every industryPangram provides AI detection solutions for educators, publishers, law firms, HR departments, foundations, and more.Contact UsAI Detector for EducationAI Detector for EnterpriseFor teachersPangram's transparency tool reliably detects AI content and checks for plagiarism to help teachers understand the origin of written text and maintain integrity and fairness in assessment.For higher edPangram's LMS integrations allow universities to create informed AI policies. Our AI detector's tool accuracy gives them the peace of mind to implement those policies at scale.FeaturesAI detection solutionsfor enterprise and schools01LMS IntegrationOur AI detector works with the most popular LMS systems making it easy to use across multiple platforms like Canvas, Moodle, Google Classroom, Brightspace, and more.Learn More →03APISolutionOur API is perfect for high-volume projects with different pricing options to suit your needs. We have custom API solutions for educators, developers, and enterprise.Learn More →02Google Doc &Browser ExtensionOur browser extension is a quick and convenient way to use our AI detection tool while browsing the web or within web-based applications such as Google Docs.Download Now →See what our users sayUsers love PangramAlex Imas, ProfessorPangram is pretty incredible. Much better than other AI detection tools (by a country mile). I've used it and tested it thoroughly and seen minimal false positives and negatives.University of Chicago Booth School of BusinessFor me, Pangram Labs has become the most student-centered option I’ve found for my courses. Students see the same report I see, directly in our Canvas shell, and Pangram’s documented false-positive rate (1 in 10,000) allows me to comfortably treat a flag as an invitation to talk, never as a presumption of guilt.— Susan Ray, Associate Professor Of English, Delaware County Community CollegeThere's a lot of overhyped, me-too products flooding the AI space, but this detector is almost supernaturally good. I have yet to experience a single false positive or false negative.Cloud Architect— Ryan Nicolace, Cloud ArchitectJenna Russell, PhDWe compare human experts with five AI detectors, including Pangram and GPTZero. Among automatic detectors, Pangram significantly outperforms the rest.Tuhin Chakrabarty, ProfessorPangram is really one of the best AI detectors we have, and y'all should use it.Based on our experiences in the fall term, we have high confidence in Pangram as a detector of AI content  in Wikipedia articles.— LiAnna Davis, Chief Programs Officer and Deputy Director at Wiki EducationPangram noticeably outperforms other LLM content detection services I've tried. It reduces our moderation workload enough to pay for itself many times over. If you run a platform with user-generated content, you should probably be using it.— Robert Mushkatblat, CTO LessWrongDan Simon, CEO of QwotedThe future of journalism depends on trust. This is why we're delighted to be partnering with Pangram, which has set the gold standard for Al detection and attributionRead all reviewsOur modelPangram's AI detection is highly accurateHow does Pangram achieve these results? Learn more.01Initial training process for AI detectionOur classifier uses a traditional language model architecture. It receives input text and tokenizes it. Then, the model turns each token into an embedding, which is a vector of numbers representing the meaning of each token. The input is passed through the neural network, producing an output vector. A classifier head transforms the output vector into a prediction of human, AI, or AI-assisted.

We train an initial model on a small but diverse dataset of approximately 1 million documents composed of publicly licensed human-written text. The dataset also includes AI-generated text produced by GPT-5 and other frontier language models. The result of training is a neural network capable of reliably predicting whether text was authored by human or AI.02Continued improvement through iterationAfter the initial training, our model undergoes continuous improvement through iterative refinement. We collect feedback from real-world usage and incorporate new data patterns to enhance detection accuracy. This iterative process ensures our AI detection remains at the forefront of technology, adapting to new language models and writing styles as they emerge.03Consistent retraining of AI detector modelsTo maintain the highest level of accuracy, we consistently retrain our AI detector models with updated datasets that include the latest AI-generated content. This regular retraining process ensures our detection capabilities stay current with evolving AI technologies and can reliably identify content from the newest language models.01Initial training process for AI detection02Continued improvement through iteration03Consistent retraining of AI detector modelsOur classifier uses a traditional language model architecture. It receives input text and tokenizes it. Then, the model turns each token into an embedding, which is a vector of numbers representing the meaning of each token. The input is passed through the neural network, producing an output vector. A classifier head transforms the output vector into a prediction of human, AI, or AI-assisted.

We train an initial model on a small but diverse dataset of approximately 1 million documents composed of publicly licensed human-written text. The dataset also includes AI-generated text produced by GPT-5 and other frontier language models. The result of training is a neural network capable of reliably predicting whether text was authored by human or AI.Third Party EvaluationWhy Pangram has the lowest false positive rateBased on independent research from the University of Chicago Booth School of Business. Learn more.01Product reviewPangram0.5%GPTZero2.4%Originality.ai1.7%RoBERTa30.6%False positive rate — Product review02Blog postPangram0%GPTZero0.5%Originality.ai0%RoBERTa64.9%False positive rate — Blog post03News articlePangram0.1%GPTZero1%Originality.ai0.3%RoBERTa77.8%False positive rate — News article04Novel excerptPangram0%GPTZero0.5%Originality.ai0.3%RoBERTa53.2%False positive rate — Novel excerpt05Restaurant reviewPangram0.8%GPTZero1%Originality.ai2.2%RoBERTa51.7%False positive rate — Restaurant review06RésuméPangram0%GPTZero0%Originality.ai0.1%RoBERTa69.1%False positive rate — Résumé01Product review02Blog post03News article04Novel excerpt05Restaurant review06RésuméPangram0.5%GPTZero2.4%Originality.ai1.7%RoBERTa30.6%False positive rate — Product reviewFAQsAI Detection FAQsLooking for answers? Explore common questionsand get the information you need, all in one place.Contact Us001What is AI content detection?AI content detection, like Pangram's AI checker tool, analyzes text for traces of AI writing. AI detectors return a prediction and a score based on the likelihood that the text is AI-generated.002How does Pangram work?Pangram's AI detection tool analyzes text for traces of AI writing. If our system finds evidence that the content contains AI writing, it will return this observation along with how much of the document we believe is AI-generated or AI assisted. Otherwise, we consider the result human written.003How accurate is Pangram?Pangram is over 99% accurate and has been third-party verified by researchers at the University of Chicago and The University of Maryland.004What is Pangram's false positive rate?Pangram's false positive rate (the rate at which human documents are incorrectly flagged as AI) is currently 1 in 10,000. This number is calculated on an aggregate of public datasets containing tens of millions of written documents.005Is Pangram's AI detector free?We offer twenty free checks a day after signing up for our free plan, including AI assistance detection. Additional credits and features like plagiarism detection are available with a subscription. For more information, check out our pricing plans.006Is my data safe if I check text with Pangram?Yes, all user data is encrypted and stored securely on our servers to be displayed in your history. We never share or sell your data to any third parties.007What languages does Pangram detect AI content in?Pangram's multilingual AI checker detects AI writing in English, Arabic, Chinese, Czech, Dutch, French, German, Greek, Hindi, Hungarian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Swedish, Turkish, Ukrainian, Urdu, Vietnamese, and more.008What AI models does Pangram detect?Pangram detects the latest AI models, including OpenAI's GPT-5.6 and ChatGPT, Anthropic's Claude Opus 5 and Claude Sonnet 5, Google Gemini, xAI's Grok, DeepSeek, and Meta's Llama. Pangram is trained specifically to detect models from these frontier labs and more. We benchmark against 26 models (so far) and they are available to see on our model card. We're accurate on 99.7% of these AI-generated samples. We test broadly on every Pangram release and retest on every major model release.009What signals does Pangram use to detect AI text?Pangram uses writing style, word choice, syntax choice, and grammatical structure to detect AI writing. Our AI writing detector only looks at the content of the text submitted. It does not compare the text to other submissions in a database or on the web like traditional plagiarism checkers, and it does not capture writing process data such as cut-and-paste. Pangram does not access OpenAI's database or analyze a user's browsing history.010How are schools using Pangram?Schools incorporate AI detection tools from Pangram using LMS integrations like our Canvas integration or our Google Classroom integration. By bringing Pangram into the classroom, teachers can set boundaries around AI use and ensure students are improving their critical thinking skills through their schoolwork.011How are universities using Pangram?Professors use Pangram to set boundaries on AI use and ensure that students properly learn the material by using our AI and plagiarism detectors directly in their LMS. Academic integrity departments use Pangram to provide evidence for cases that goes beyond the score - highlighting the most common phrases that LLMs use and comparing submissions to actual AI-generated responses.012Why do other AI detectors sometimes give false positives?Many other AI detectors use metrics like perplexity to detect AI writing. Perplexity is how unexpected, or surprising, each word in a piece of text is, when looked at from the perspective of a particular language model or LLM. AI text is often low-perplexity, because of how AI models work. Unfortunately, other simple or unsurprising writing, like the Declaration of Independence, come up as a false positive, making perplexity-based detectors unreliable for scenarios like the classroom where false positives are undesirable. Pangram does not use perplexity or other metrics that correlate with AI writing, instead using a comprehensive deep learning approach that discovers patterns over millions of writing samples.013Why do other AI detectors fail to flag AI writing?Many other AI detectors don't keep up-to-date with the latest AI models. Pangram is constantly collecting writing samples from the latest and most capable AI models to ensure that the software can detect writing from all AI services, even those from unreleased models or AI editing tools.014Why is Pangram the best AI detector?Pangram is built by a team of seasoned machine learning engineers with extensive experience in AI. Pangram is the most advanced AI detection model and is built on millions of human and AI documents to ensure that it can pick up on even the most subtle nuances in AI writing.The Pangram blogMore from ourAI expertsAll ArticlesAI EducationAll About False Positives in AI DetectorsBradley EmiSep 15, 2026A deep dive into how Pangram achieves industry-leading false positive rates in AI detection, with a false positive rate of 1 in 10,000.AI EducationWhat is AI watermarking?Annamieka AertsSep 14, 2026How AI text watermarks like SynthID and Claude’s work, which providers use them, how they can be beaten, and what they mean for AI detection.Case StudiesPangram's Performance on a Colluding Agent SwarmAnnamieka AertsSep 10, 2026A brief report on how Pangram 4 performs when given a collection of items written by AI agents using an obscure web forum to help each other cheat on their assigned task.NewsDoes Pangram Detect Fable 5.1?Annamieka Aerts and Katherine ThaiSep 3, 2026Can Pangram 4 detect Anthropic's newest model, Fable 5. 1?Case StudiesAI Helps Write Nearly 50% of Press ReleasesAnnamieka AertsSep 1, 2026Pangram scanned 178,672 PR Newswire press releases and found AI-generated text in 34% of them over the past year, climbing to 48% by June 2026.AI EducationNo, LLMs don’t just mimic human textBradley EmiAug 20, 2026LLMs are trained on human text, so why can AI detectors still tell the difference? A look at how post-training pushes models like ChatGPT, Claude, and Gemini away from the human writing distribution.Case StudiesPangram shows 0 false positives on diverse student essaysKatherine Thai and Annamieka AertsAug 19, 2026We evaluated Pangram 4 on 25,996 human-written student essays from the PERSUADE 2. 0 corpus and found zero false positives in every demographic subgroup.Pangram's Model Market ShareElyas MasrourAug 11, 2026How Pangram's models can show trends in AI provider market share.Product UpdatesPangram 4 Migration GuideElyas MasrourAug 6, 2026All you need to know to migrate to Pangram's latest flagship model!ProductsAI DetectorAI Image DetectorBrowser ExtensionGmailAPIIntegrationsPlagiarism CheckerMultilingual AI DetectionFor OrganizationsFor TeachersFor Publishing & MediaFor Content ModerationFor DevelopersFor Law FirmsFor UniversitiesFor RecruitersFor ML EngineersFor ComplianceResearchHow AI Detection WorksPangram Research PapersResearch InquiriesPressModelsEventsReviewsResourcesKnowledge HubAI educationProduct updatesNewsCase studiesBlogPricingTerms of ServicePrivacy PolicyData Privacy FAQStatusCompanyAbout UsContact UsCareersPressSOC2 TYPE2Verified by AssuranceLab© 2026 Pangram. All rights reserved.info@pangram.com Join our Community© 2026 Pangram. All rights reserved.

Pangram is an AI detection solution that aims to establish content transparency in an era where AI-generated material is prevalent across academia, media, and business. The fundamental premise is that AI writing contains discernible structural, stylistic, and semantic patterns that can be detected by sophisticated software, although the text emphasizes that AI detection is not magic but rather pattern recognition. The system functions by utilizing natural language processing and a massive dataset comprising both human-written and AI-generated texts from various popular models, including ChatGPT, Gemini, Grok, Llama, and Claude, allowing it to analyze the unique patterns embedded in the text.

The methodology behind Pangram’s detection relies on a traditional language model architecture where input text is tokenized, and each token is converted into an embedding representing its meaning. This vector is then passed through a neural network, which culminates in a classifier head that predicts whether the text was authored by a human, an AI, or was AI-assisted. The initial model was trained on a diverse dataset of approximately one million documents to reliably predict authorship. This process is refined through continuous iteration and retraining, incorporating feedback from real-world usage and new data patterns to adapt to evolving AI writing styles and the latest language models. This iterative refinement ensures the detector remains current by consistently retraining with updated datasets, including content from the newest frontier models.

Pangram’s advanced capabilities extend beyond simple detection to offer comprehensive analysis. It is designed to detect content from numerous major language models and supports more than twenty languages, making it a global and multilingual solution. The system analyzes writing style, word choice, syntax, and grammatical structure, focusing solely on the content itself without comparing submissions to external databases or analyzing writing process data like cut-and-paste. Furthermore, the detector can identify AI-generated images, and it offers AI segment analysis to highlight portions of text that have been modified by AI, providing insight into the origin of the content rather than just a binary classification.

A key strength of Pangram lies in its verified accuracy and low false positive rate. Independent research from institutions such as the University of Chicago and the University of Maryland has verified the detector’s reliability. Third-party evaluations indicate that Pangram significantly outperforms other automatic detectors, including GPTZero and Originality.ai, particularly in identifying subtle nuances in AI writing. This is achieved by relying on a deep learning approach that discovers patterns across millions of writing samples, rather than metrics like perplexity, which proved unreliable for many scenarios due to the nature of human writing. The false positive rate for Pangram is remarkably low, estimated at one in ten thousand, calculated across aggregate public datasets.

Pangram’s solutions are structured to address specific sectors, offering tools for education, enterprise, and journalism. For educational settings, integrations with Learning Management Systems such as Canvas and Google Classroom allow educators to set boundaries on AI use and ensure academic integrity. Universities and academic departments can use this tool to provide evidence for academic integrity cases and establish informed AI policies. For broader use, Pangram offers an Application Programming Interface for high-volume projects and browser extensions for convenient use within applications like Google Docs.

The utility of Pangram is supported by positive user testimonials from academics, cloud architects, and experts who rate its performance highly, noting its superior accuracy and reliability compared to other available tools. The platform is backed by a mission to rebuild trust through transparency, developed by researchers from organizations like Tesla and Google, positioning Pangram as a leading standard for AI detection and attribution.