A Universal Detector for AI-Generated Writing
What does it cost?
Currently, nothing. It’s free to try.
How do you use it?
You paste in documents using the text box on the home page. Make sure your documents are formatted cleanly. Copy/pasting text from HTML or PDF documents can produce garbled results if you haven’t made sure the line breaks are correctly separating your paragraphs.
How can I get support or provide feedback?
Write us: closereadai@proton.me.
Does it work? How do I know?
You don’t have to take our word for that. Feel free to test human or AI texts with origins you are certain about before using the detector on uncertain texts you want to evaluate.
What does a result like “3 HUMAN, 2 AI” mean?
It means you submitted a document with five separate paragraphs; the Detector thinks two of those paragraphs were predominantly AI-generated. Remember, that’s a paragraph-level diagnosis only: individual phrases or sentences in an “AI” paragraph might be human in origin, and vice versa.
Can I submit the same text multiple times, with revisions in between?
Of course. See our Tips & Tricks page for advice on how to make the most of repeated submissions.
What if a text is a truly mixed production, with both human and AI input contributing to the finished product?
This happens all the time. The final verdict depends on which voice is more dominant, more often, within a given paragraph. For instance, if an AI rewrites a completed human text, it usually gets flagged by our Detector as “AI.” If a human being uses an AI-generated essay outline, but writes every sentence themselves, it generally reads as “HUMAN” to the Detector.
The position of closeread.ai and its creator is that in most such cases, the AI emerges as the dominant voice, influencing style, structure, and ultimately the meaning of the piece far more than its human users generally acknowledge. Human beings are quick to downplay the influence of generative AI on their writing; if they use it at all, it frequently comes to dictate what and how they write, regardless of how an author, or machine, frames the “assistance” provided by the bot.
What metrics and criteria separate human writing from AI-generated writing, according to this Detector and your organization?
The criteria and scoring of each paragraph, for now, has to remain somewhat mysterious to the public at large. We don’t like doing that, but it’s necessary in order to prevent our proprietary code from being stolen or reverse engineered.
What we can say is this: first of all, we intend to create a fully-featured, subscription-based service that provides in-depth, explanatory analyses of every inputted text. That will likely be publicly available by the end of 2026.
We can also say, with confidence, that this Detector does not use the methods that OpenAI, Turnitin.com, and others have tried. Their methodology, as everyone knows, produced such spectacularly bad results that the entire project of distinguishing human from machine writing has now begun to seem, to many writers, educators, and editors, like an impossibility.
Meanwhile, we here at CloseRead.AI know that a reliable AI Detector is possible. We built one.
Can I license the Detector for use by my school, business, or organization?
Not yet, but that’s coming soon. Send us an email if you are interested!
Are there any restrictions on what kind of texts the Detector can analyze?
No. It correctly identifies everything from AI-generated poetry, to AI imitations of specific writers, to human writing by James Joyce, Thomas Jefferson, Frederick Douglass, and many others.
What is your privacy policy?
We do not currently maintain any in-house records about the people using our site or the writing they submit. However, the software does rely upon AI reasoning frameworks owned by OpenAI and Anthropic. Treat submissions to closeread.ai with the same prudence you would apply before uploading promising ideas, sensitive materials, or confidential documents to those companies’ respective chatbots.
CloseRead.AI is the work of a teacher and writer named Dr. Joe Kugelmass. He has taught English at UC Irvine, Phillips Academy Andover, Hopkins School, and other institutions in the USA and Canada. He has two decades of experience as an educator, and holds a Ph.D. in English from UC Irvine. He has been involved in analyzing, and often critiquing, the impact of generative AI since ChatGPT debuted in 2022. His essay “The Blinking of ChatGPT,” about deliberately crashing ChatGPT using a prompt referencing Thomas Pynchon, was published in InformationWeek in 2023. Kugelmass also wrote several other essays about AI, most notably “Overselling AI,” for the online magazine SpliceToday.com.
Kugelmass could not have done this work by himself, and extends his thanks to Claude, Grok, DeepSeek, Gemini, and ChatGPT, all of which assisted with aspects of coding, testing, and refining this AI Detector. He does not wish to thank Microsoft Copilot, however.
Generative AI absolutely has a positive role to play in our society. Used responsibly, AI can help human beings realize our most ambitious intellectual undertakings. It is ironic, but true, that this website represents one proof of the astounding, positive potential of effective human-AI collaboration.