Provides a percentage score indicating the likelihood that the submitted text was AI-generated, offering a quick, at-a-glance assessment.
Breaks down the analyzed text and visually highlights sentences or phrases that are most likely to have been written by an AI, providing granular insight.
The underlying detection algorithms are designed to identify text from a range of popular AI models, including ChatGPT, GPT-4, Claude, and others.
The core web tool is accessible immediately without creating an account, logging in, or providing an email address.
Offers an API for developers to integrate detection capabilities directly into their own applications, platforms, or automated workflows.
Teachers and professors use the detector to screen student submissions like essays, reports, and homework. By pasting suspicious text, they receive a probability score and highlighted sections. This provides an evidence-based starting point for discussions about originality and proper citation, helping uphold academic standards without relying solely on intuition.
Blog managers, news editors, and content agencies use the tool to verify that freelance submissions or internally produced drafts are primarily human-written. This helps maintain a unique voice, ensure factual depth that AI may lack, and protect SEO rankings by avoiding low-value, AI-saturated content that search engines may deprioritize.
Recruiters and hiring managers can analyze cover letters, writing samples, or take-home assignments submitted by candidates. Detecting heavy AI use helps assess a candidate's genuine communication skills, critical thinking, and personal effort, ensuring the evaluation is based on the applicant's own abilities.
SEO specialists and marketers use the detector to audit their own content or competitors' material. Understanding the AI-generated proportion of web content can inform strategy, helping teams decide where to invest in high-quality human writing for competitive advantage and where efficient AI-assisted drafting is acceptable.
Researchers and journalists may use the tool as a preliminary check when reviewing anonymous tips, public statements, or online content. While not definitive, a high AI probability score can prompt further investigation into the source's authenticity and the need for more rigorous fact-checking procedures.
Sign in to leave a review
3D Slash is a unique, block-based 3D modeling software designed to make 3D design intuitive and accessible for everyone, from children and educators to hobbyists and professionals. Inspired by the visual simplicity of retro video games, it uses a 'destruction' and 'construction' metaphor where users carve models out of a virtual block of material using tools like a hammer, chisel, and trowel, rather than manipulating complex vertices and polygons. This gamified approach significantly lowers the learning curve associated with traditional CAD software. It is widely used in educational settings to teach STEM concepts, design thinking, and spatial reasoning. Users can create models for 3D printing, game assets, architectural visualizations, and simple prototypes directly in a web browser or via desktop applications. The platform emphasizes creativity, speed, and fun, positioning itself as a bridge between playful digital making and practical 3D output.
Achieve3000 is an adaptive literacy platform designed primarily for K-12 education, focusing on improving reading comprehension and critical thinking skills. It uses proprietary AI and natural language processing to dynamically adjust the reading level of nonfiction articles to match each student's individual Lexile measure, a standard for assessing reading ability. The platform provides differentiated instruction by delivering the same core content at multiple reading levels, allowing all students in a classroom to engage with grade-appropriate topics while reading at their own level. It is widely used in schools and districts across the United States to support English Language Arts instruction, intervention programs, and college and career readiness. The system includes embedded assessments, writing prompts, and data dashboards for teachers to monitor student progress. By providing personalized, leveled content, it aims to accelerate literacy growth, particularly for struggling readers and English language learners.
Acuant is an AI-powered legal research and document analysis platform designed to assist legal professionals, such as lawyers, paralegals, and corporate counsel, in navigating complex legal information. It leverages advanced natural language processing and machine learning to parse vast databases of case law, statutes, regulations, and legal precedents. The tool helps users quickly find relevant legal authorities, analyze documents for key clauses and risks, and prepare for litigation or transactions. By automating time-consuming research tasks, Acuant aims to improve accuracy, reduce manual effort, and enable legal teams to focus on higher-value strategic work. It is positioned as a modern solution for law firms and in-house legal departments seeking to enhance productivity and decision-making through AI.
