GPTZero's AI Detection Technology

GPTZero's AI Detection Technology

As pioneers in AI detection, GPTZero incorporates the latest research in detecting ChatGPT, GPT4, Google-Gemini, Llama, and new AI models, and investigating their sources.

How AI Detection at GPTZero works

GPTZero’s technology uses deep learning to keep pace with AI advancements to deliver precise, reliable results that help you understand and interpret the origin of a piece of text.

Input Text

Input Text

GPTZero accepts copy and pasted text, docx, pdf, and image files, analyzing up to 50 files at a time.

Deep Learning

Deep Learning

We employ an end-to-end deep learning approach, trained on text datasets from the web, education, and AI- generated from a range of LLMs.

Sentence Classifier

Sentence Classifier

A sentence-by-sentence classification model determines the probability and confidence that a text was created by AI.

Paraphraser Shield

Paraphraser Shield

We defend against tools looking to exploit AI detectors. Our model shields against common methods to bypass AI detection, such as paraphrasing and homoglyph attacks.

Output Result

Output Result

You can view easy-to-interpret results in our dashboard, with premium features to detect AI vocabulary, plagiarism, and citeable sources.

Leading the way in AI Detection Research

It is becoming increasingly critical to develop robust tools to detect AI-generated texts and limit the adverse effects of LLMs. GPTZero’s mission is to ensure that human-authored and LLM-generated text remains distinguishable. We achieve this goal by offering a commercially available AI detector that is highly accurate, scalable, and – most importantly – capable of delivering explainable predictions that allow users to responsibly interpret the results.

Our wider research contributions include:

1

We frame the LLM-generated text detection as a trinary classification problem, separating prediction confidence from the proportion of LLM text.

2

We developed the first sentence highlighting model using HMM (Hidden Markov Models) for areas of text, featured on Anderson Cooper 360.

3

We developed a novel output mapping mechanism which improves model calibration and biases the detector to prefer making less-harmful false-negative errors over false-positive errors.

4

We continuously demonstrate superior AI detection performance against both commercial and open-source alternatives across multiple genres and languages.

5

We outlined an industrial-scale framework for collecting and cleaning data, training and utilizing supervised-models, and considerations on user interaction with the models.

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Cyclical Development Process of our Deep Learning Model

model development
GPTZero's TOEFL Classification pie chart

De-biasing Detection for Education

Our team is dedicated to de-biasing our AI classification models for educational use cases.

For example, our efforts in reducing ESL bias in classification since April 2022 have reduced AI detection’s false positive rate on TOEFL texts to 1.1%.

We achieved our successful de-biasing via several methods, including model parameter tagging that incorporated an “education” tag in model training, text preclassification at the model output step, and representative dataset insertions. Through training a classification model, we can predict beforehand whether a text is likely from an ESL writer, to ensure the AI identification model has this information when making a classification.

Confidence Scores

Confidence Scores

We were the first detector to provide confidence categories for our classifications: “uncertain,” “moderately confident,” and “highly confident.” These categories are tuned so that the average error rate is less than 1% for the “high” confidence predictions, based on a diverse evaluation dataset used internally that was never before seen by the model.

Average error rate is emphasized because the number of possible documents is vast, varying substantially in tone, content, length, grammatical correctness, logical coherence, and structure.

Mixed Classification

Mixed Classification

GPTZero was the first detector to include a classification of “mixed” human and AI content. Our model outputs 3 possible classifications instead of the normal binary (human vs. AI):

  • written entirely by a human
  • written entirely by an AI
  • written by a mix of human and AI

This allows for a more nuanced AI detection result.

Advanced Scan

Advanced Scan

Our state-of-the-art advanced AI detection model offers an unprecedented level of analysis to identify which sections of writing contribute most to our AI detection, helping you understand why a document is classified as AI.

Our Approach to Benchmarking

Our Approach to Benchmarking

We are strongly supportive of the work of independent and academic reviewers in evaluating the progress of AI models.

We provide free API access to our model upon request for academic researchers. We’ve been evaluated by researchers from MIT, Harvard, Stanford, and several other universities.

From internal and external benchmarking, we find GPTZero is much better than our competitors at detecting mixed documents where both AI and human writing is involved, with a 96.5% accuracy rate.

False Positives

False Positives

A false positive in AI detection is when an AI detector incorrectly classifies a human’s writing as AI. If, for instance, you are an educator or an institution that relies on AI detection tools to help inform your disciplinary policy around students’ AI usage, you will want to make sure the false positive rate is as low as possible to avoid false claims of cheating. We keep GPTZero’s false positive rate at no more than 1% when evaluating AI versus human text.

Researchers using GPTZero for AI detection

Join your fellow researchers using GPTZero for their papers, publications, and investigations.

Get scholarly access
The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates

Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R. Davidson, Veniamin Veselovsky, Robert West

"We estimate that 15.8% of ICLR reviews in 2024 were crafted with the assistance of an LLM, or 4,428 of the 28,028 reviews submitted that year; 49.4% of all submissions received at least one review classified as AI-assisted by GPTZero."

Analysing the impact of ChatGPT in research | Applied Intelligence

Pablo Picazo-Sanchez & Lara Ortiz-Martin

"In other words, no matter which editorial the analysed text comes from, the detector with the highest accuracy is GPTZero."

Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023 | JCO Clinical Cancer Informatics

Frederick M. Howard, Anran Li, Mark F. Riffon, Elizabeth Garrett-Mayer, and Alexander T. Pearson

"GPTZero had the best discrimination of the pure AI-generated abstracts at an optimal threshold selected with Youden’s index, identifying 99.5% of AI-written abstracts with no false positives among human-written text. AI, artificial intelligence."

The Rise of AI-Generated Content in Wikipedia

Creston Brooks, Samuel Eggert, Denis Peskoff

"Using two tools, GPTZero and Binoculars, we detect that as many as 5% of 2,909 English Wikipedia articles created in August 2024 contain significant AI-generated content."

Other papers using GPTZero

General FAQs about our AI Detector

Everything you need to know about GPTZero and our chat gpt detector. Can’t find an answer? You can talk to our customer service team.

Can’t find an answer? You can talk to our customer service team.

What is GPTZero?

GPTZero is the first and leading AI detector that allows you to identify specific content in a document or text that has been generated by a large language model (LLM), such as ChatGPT. Founded in January 2023, GPTZero has served over 10 million users to date and works with 100+ organizations in education, hiring, publishing, legal and more.

How does AI detection work?

AI detectors work by looking for patterns in text that are more likely to have been written by a machine than a human. The most common factors they look for include:


  • Perplexity: Is the writing obviously predictable?
  • Burstiness: How much variation is there in the sentence length and style?
  • Style: Is the tone and writing style overly generic or repetitive?

GPTZero uses its own proprietary model that takes hundreds of factors into consideration and boasts the highest detection accuracy in the industry.

Is GPTZero’s AI detector accurate?

Yes. Independent benchmarks, like our partners at Penn State’s AI Research Lab, and our own large-scale testing show that GPTZero is the most accurate AI detector, with a 99% accuracy rate when spotting AI-generated text vs. human writing, a false negative rate under 2%, and a false positive rate under 1%. This means we correctly classify AI writing 99 out of 100 times, and keep misclassification of text to an absolute minimum.


Unlike many competitors, GPTZero can reliably detect “mixed documents” (where human and AI writing are combined) with 96.5% accuracy rate. While no AI detector can ever truly be 100% perfect, we are committed to being a leader in responsible adoption of AI generation and AI detection technologies.

How do I use GPTZero’s AI detection tool?

You can start using GPTZero straight away in 3 easy steps:


  1. Paste Text or Upload Document: Paste in raw text or upload your file for review and press ‘Scan’. For scans over 10,000 characters, create a free account first.
  2. See Your Results: GPTZero will suggest what percentage of your text is likely to be AI-generated and highlight the specific phrases it has detected.
  3. Download our Chrome Extension for Google Docs and web: View AI detection and typing pattern metrics on any page, allowing you to spot AI-created content with ease.

Who is GPTZero for?

GPTZero is the most trusted AI content checker in education, both for teachers and students who use GPTZero to guide conversations on academic integrity and writing improvement. GPTZero is used in over 3500 colleges and 100s of institutions. We also serve publishers, recruiters, copy-writers, marketers and businesses where authentic and quality writing truly matters.

Does the GPTZero AI Content Checker only detect ChatGPT outputs?

No. GPTZero works across a wide range of AI language models, including but not limited to ChatGPT, GPT-5, GPT-4, GPT-3, Gemini, Claude, Llama, Deepseek, and AI services based on those models. Our detector is designed for the highest accuracy rate regardless of which model may have produced the text.


In our latest model release, we’ve updated the majority of our training data, including more AI documents from: OpenAI – GPT4.1,GPT4.1-mini, o3, o3-mini Gemini – 2.5 Pro, 2.5 Flash, 2.5 Flash-Lite Claude, Sonnet 4 as well as a few other models.

Which languages does GPTZero support?

GPTZero fully supports English, German, Portuguese, French and Spanish with industry-leading accuracy. We are also constantly used in many other languages and in over 100 countries.

What is the best AI detector?

GPTZero is consistently rated the most accurate and reliable AI detector across various use cases.


  • Reliability: In 2025, G2 ranked GPTZero the #1 most trusted and reliable AI tool, above Grammarly.
  • Accuracy: GPTZero is the most accurate AI detector with 99% accuracy rates across diverse datasets, independently reviewed by AI labs at top institutions. Independent reviewers, including Tom’s Guide, testing all popular detectors named GPTZero the most accurate.
  • Best Interpretability: GPTZero is the only detector that explains exactly why text is AI with natural language. GPTZero also has the most accurate sentence-level AI detection, with color-coded highlights on exactly where AI is used in an essay.

What are the limitations of AI Detectors?

No AI detector is 100% accurate, and AI itself is changing constantly. Results should not be used to punish or as the final verdict. Accuracy improves with longer inputs (document-level results are stronger than paragraph or sentence-level) and is strongest on English prose.


GPTZero is the only AI detector de-biased for ESL (English Second Language) learners, which many competitors do not take into account. We repeatedly train our model to reduce false positive rate for ESL writing to 1%. We also monitor our datasets to transparently prevent any bias in AI detection training data.

What data did you train your model on?

Our model is trained on millions of documents spanning various domains of writing including creating writing, scientific writing, blogs, news articles, and more. We test our models on a never-before-seen set of human and AI articles from a section of our large-scale dataset, in addition to a smaller set of challenging articles that are outside its training distribution.

How do I use and interpret the results from your API?

To see the full schema and try examples yourself, check out our API documentation.

Our API returns a document_classification field which indicates the most likely classification of the document. The possible values are HUMAN_ONLY, MIXED, and AI_ONLY. We also provide a probability for each classification, which is returned in the class_probabilities field. The keys for this field are human, ai or mixed. To get the probability for the most likely classification, the predicted_class field can be used. The class probability corresponding to the predicted class can be interpreted as the chance that the detector is correct in its classification. I.e. 90% means that 90% of the time on similar documents our detector is correct in the prediction it makes. Lastly, each prediction comes with a confidence_category field, which can be high, medium, or low. Confidence categories are tuned such that when the confidence_categoryfield is high 99.1% of human articles are classified as human, and 98.4% of AI articles are classified as AI.

Additionally, we highlight sentences that been detected to be written by AI. API users can access this highlighting through the highlight_sentence_for_ai field. The sentence-level classification should not be solely used to indicate that an essay contains AI (such as ChatGPT plagiarism). Rather, when a document gets a MIXED or AI_ONLY classification, the highlighted sentence will indicate where in the document we believe this occurred.

Are you storing data from API calls?

No. We do not store or collect the documents passed into any calls to our API. We wanted to be overly cautious on the side of storing data from any organizations using our API.

However, we do store inputs from calls made from our dashboard. This data is only used in aggregate by GPTZero to further improve the service for our users. You can refer to our privacy policy for more details.