Unfox AI Detector

Unfox AI Detector is a content detector tool. Unfox AI Detector checks pasted or uploaded text for AI-generated patterns, with sentence-level highlights, three result labels and support for 17 languages. It needs no sign-up and offers batch detection and an API for larger workloads.

Unfox AI Detector is a web-based checker that estimates whether a piece of writing is more likely to be machine-generated or written by a person. Instead of returning a single verdict, it reports an overall AI signal alongside sentence-level results, so a reader can see which passages carry stronger AI patterns and which look human. Results fall into three labels: AI, Suspected AI and Human, with the site stressing that every score is a probability signal and not proof of authorship. The tool targets several groups: students checking essays before submission, educators looking for one extra data point on authorship, freelancers and writers doing a last review of drafts, SEO and content teams vetting outsourced articles, and editors or publishers screening manuscripts. Businesses and agencies handling content for several clients are another stated audience, mainly through batch detection and an API. In practice, a user pastes text or uploads a file on the homepage, runs the check and receives a detection report. The homepage says the models look at predictability, sentence variation and other statistical patterns across the whole text, and that they are built to pick up writing from ChatGPT, Claude, Gemini and DeepSeek, among others. Seventeen languages are supported, including English, Chinese, Japanese, German, French and Spanish, with the language identified automatically. No account is required for the basic check, and the vendor says submitted content is discarded after analysis rather than stored. Among AI detectors, Unfox competes with better-known names such as GPTZero and ZeroGPT, and it leans on context rather than certainty. Its pages openly discuss false positives, noting that academic, technical or formulaic writing can resemble AI output, and it recommends weighing results against the original text and human judgment. Batch detection and an API extend it from a casual checker toward a workflow component, and a blog section covers accuracy, how detectors work and whether humanizers help.