200,000+ Users, 5,000,000 Scans
An AI detector that actually works.
Detect AI-generated content with 99.98% accuracy. Trusted by universities, schools, and enterprises worldwide.
Reviewed as the proven, most reliable and most accurate AI detection tool in the market by third parties including University of Maryland and the University of Chicago.
Global Brands
AI 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.
Pangram'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.
In 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.
Our product
Detect AI
and plagiarism
Pangram 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.
AI Segment Analysis
Pangram won't just tell you how confident it is that the document is AI, but also how much of it is.
AI Assistance
Pangram will highlight segments that have been edited by AI rather than fully AI-generated.
Plagiarism Checker
Check for plagiarism and AI all at once. Perform an AI plagiarism check with one click.
Features
How is
Pangram 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 research
Uses 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 sets
Pangram 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 LLMs
Pangram 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+ languages
Our AI detection works across more than 20 languages, making it a truly global, multilingual solution for institutions and businesses worldwide.
Out-performed trained humans
Independent studies have shown that Pangram's AI detection outperforms trained human readers in identifying AI-generated content.
Detects humanized text
Pangram 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 accuracy
Our accuracy and reliability have been independently verified by third-party researchers and educational institutions.
Who we are
About
Pangram Labs
At Pangram, our mission is to rebuild trust amidst the increase in generative AI content. Founded in Brooklyn, NY, in 2024 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 works
How Pangram's AI detector works
Copy and paste your text into the field or upload files. Pangram supports PDF, DOCX, RTF files and up to 100 files at a time.
Pangram analyzes your text using advanced AI detection algorithms to identify AI-generated content with high accuracy.
Review detailed results showing AI detection scores, highlighted sections, and comprehensive analysis of your text.
Access 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.
Copy and paste your text into the field or upload files. Pangram supports PDF, DOCX, RTF files and up to 100 files at a time.
Pangram analyzes your text using advanced AI detection algorithms to identify AI-generated content with high accuracy.
Review detailed results showing AI detection scores, highlighted sections, and comprehensive analysis of your text.
Access 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.
For teachers
Pangram'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 ed
Pangram'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.
Features
AI detection solutions
for enterprise and schools
01
LMS Integration
Our 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 →
03
API
Solution
Our 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 →
02
Google Doc &
Chrome Extension
Our Chrome 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 customer says
Users love Pangram
Alex Imas
Pangram 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.
Chicago Booth
For 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.
Associate Professor Of English, Delaware County Community Colleg
— Susan Ray, Associate Professor Of English, Delaware County Community Colleg
There'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 Architect
Jenna Russell
We compare human experts with five AI detectors, including Pangram and GPTZero. Among automatic detectors, Pangram significantly outperforms the rest.
University of Maryland
Based on our experiences in the fall term, we have high confidence in Pangram as a detector of AI content in Wikipedia articles.
Chief Programs Officer and Deputy Director at Wiki Education.
— LiAnna Davis, Chief Programs Officer and Deputy Director at Wiki Education.
Tuhin Chakrabarty
Pangram is really one of the best AI detectors we have, and y'all should use it.
Stony Brook University
Pangram 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.
CTO LessWrong
— Robert Mushkatblat, CTO LessWrong
pangram labs is so good at AI detection. it doesnt just catch the "its not x, its y" type llm-speak but even if you had chatgpt speak like @shauseth it can detect it! so in context learning is also easy to detect! insane sorcery by @max_spero_ and team
X
— shrihacker, X
Our model
Pangram's AI detection is highly accurate
How does Pangram achieve these results? Learn more
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Our 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.
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After 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.
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To 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.
Our 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 Evaluation
False positive rates of AI Detectors
Based on independent research from the University of Chicago Booth School of Business. Learn more
Pangram
0.5%
GPTZero
2.4%
Originality.ai
1.7%
RoBERTa
30.6%
False positive rate — Product review
Pangram
0%
GPTZero
0.5%
Originality.ai
0%
RoBERTa
64.9%
False positive rate — Blog post
Pangram
0.1%
GPTZero
1%
Originality.ai
0.3%
RoBERTa
77.8%
False positive rate — News article
Pangram
0%
GPTZero
0.5%
Originality.ai
0.3%
RoBERTa
53.2%
False positive rate — Novel excerpt
Pangram
0.8%
GPTZero
1%
Originality.ai
2.2%
RoBERTa
51.7%
False positive rate — Restaurant review
Pangram
0%
GPTZero
0%
Originality.ai
0.1%
RoBERTa
69.1%
False positive rate — Résumé
Pangram
0.5%
GPTZero
2.4%
Originality.ai
1.7%
RoBERTa
30.6%
False positive rate — Product review
FAQs
AI Detection FAQs
Looking for answers? Explore common questions
and get the information you need, all in one place.
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