The tool analyzes submitted text and returns a percentage score estimating the likelihood it was AI-generated, often accompanied by a simple 'Human' or 'AI' label.
Users can visit the website and start detecting AI content immediately without creating an account or logging in.
The entire tool runs in a web browser, requiring no software downloads, installations, or browser extensions for basic use.
Some analyses may break down results to highlight specific sentences or passages within the text that are most likely to be AI-generated.
The detector is trained to identify patterns from a range of popular AI language models, including ChatGPT, GPT-4, and others.
The user interface is designed to be minimal and focused on the task, with the text box and results taking center stage.
Teachers and professors use the detector to screen student submissions like essays, reports, and homework. By pasting suspicious text, they can get an initial indicator of potential AI-assisted plagiarism. This helps educators initiate informed conversations with students about originality and proper citation, though it is typically used as a preliminary tool alongside other assessment methods.
Content managers and SEO specialists verify that articles, blog posts, and product descriptions produced by freelance writers or AI tools retain a human touch. Overly AI-generated content can be penalized by search engines for lacking E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). Using the detector ensures content meets quality standards before publication.
Editors at journals, magazines, and news outlets screen submitted manuscripts or articles to ensure authentic human authorship. This is crucial for maintaining credibility and trust with readers. The tool provides a quick check to flag submissions that may require deeper investigation into sourcing and originality.
HR professionals and hiring managers can analyze cover letters, writing samples, or take-home assignments submitted by job applicants. A high AI probability score might indicate a lack of original thought or effort, helping recruiters identify candidates who may not have personally crafted their application materials.
Writers and students who use AI tools for brainstorming or drafting can run their own edited work through the detector. This helps them ensure their final output has been sufficiently personalized and does not read as machine-generated, which is important for developing authentic voice and avoiding over-reliance on AI.
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