OpenAI Detector
Paste your text and instantly get a probability score of GPT‑generated versus human‑written content using the OpenAI Detector.
Pricing Model: Free
Category: Ai Detection & Plagiarism Checkers
https://openai-openai-detector.hf.space/
Release Date: 07/10/2021
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OpenAI Detector Features:

  • Paste any text into the input box to receive a probability score
  • Displays likelihood that the text was generated by GPT or similar models
  • Supports detection of GPT‑2 style outputs through a RoBERTa‑based model
  • Results become more reliable with larger amounts of text (50+ tokens)
  • Simple web interface with no sign‑up required
  • Works directly in browser, lightweight and fast
  • Helps educators and editors identify AI‑written content
  • Open‑source model publicly accessible via Hugging Face
  • Transparent about limitations and states that results are not fully reliable
  • Free usage makes it accessible for individual users and small teams

OpenAI Detector Description:

The OpenAI Detector is a web‑based tool hosted via a Hugging Face Space that enables users to paste text and obtain a probability score estimating whether the text was generated by a GPT‑style language model or written by a human. Built on a fine‑tuned RoBERTa classifier trained on outputs from GPT‑2 and human‑written text, the detector provides a simple interface and instant feedback. Users input text, and the system returns a percentage indicating the confidence that the text is machine‑generated. It emphasizes that reliability improves with longer passages (typically over 50 tokens) and notes that the tool is not perfect and should not be solely relied on for high‑stakes decisions. Because of its openly accessible design, it is often used by educators checking student submissions, editors assessing the originality of content, or anyone curious about AI‑authorship detection. While the tool remains free and requires no account, its creators and the associated research caution users about accuracy limitations: small samples, edits by humans, or adversarially written text can markedly reduce detection performance. The detector does not incorporate proprietary embedding or watermarking detection, but serves as a baseline, open‑source solution. As AI‑generated text becomes more prevalent in publishing, academia and content production, the OpenAI Detector offers a transparent, no‑cost way to investigate authorship signals while acknowledging that detection remains a challenging and evolving field.

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