Our detection technology

Our AI detection model contains 7 components that process text to determine if it was written by AI. We utilize a multilayered approach that aims to produce predictions that are as accurate as possible.

Education Module
Our education model has been trained with data that includes more student work than our regular model, increasing the accuracy of detecting AI for educational purposes. This model is well suited for differentiating ESL and AI-written text as well.
Internet Text Search
This part of our model checks if this text has been found to exist in text and internet archives. In contrast to other AI-detection services, we ensure that commonly used texts are not misclassified.
GPTZero Shield
This layer defends against other tools looking to exploit AI detectors. We maintain a database of the most common methods to by-pass AI detection, such as homoglyph and spacing attacks.
Our ‘burstiness’ check analyzes how similar the text is to AI patterns of writing. A human written document will have changes in style and tone throughout the text, whereas AI content remains similar throughout the document.
GPTZeroX is a sentence-by-sentence classification model that allows mixed-text highlighting. This model analyzes each sentence in the text in the greater context of the document, and determines the probability that each sentence was created by AI.
We’ve developed an LLM similar to ChatGPT, and After each word in the text our model develops suggestions of what word is coming next. It checks if our suggestions match what is actually in the text.
Deep Learning
Lastly, we’re using an end-to-end deep learning approach, trained on both massive text corpuses from the web, education datasets from our partners, and our own AI datasets generated from a range of language models.
Model Version

The current GPTZero model leverages a multilayered approach and an end-to-end deep learning model retrained on and performing with high accuracy for GPT4 datasets. Learn more about the upgrades to our AI detector.