Provides a percentage likelihood that the submitted text was generated by an AI, giving users a quantifiable measure of authenticity.
Highlights specific sentences or passages within the text that are most likely to be AI-generated, pinpointing areas of concern.
Claims to detect content from a range of popular LLMs including ChatGPT, GPT-4, Gemini, Claude, and others.
Supports uploading document files (e.g., .docx, .pdf, .txt) and potentially processing multiple documents in batch for efficiency.
Offers an application programming interface (API) for developers to integrate AI detection directly into their own platforms, websites, or workflows.
Positioned alongside PlagiarismTracker's traditional plagiarism detection tools, offering a combined solution for originality checking.
University professors and high school teachers use the detector to screen student essays, research papers, and homework submissions. By pasting text from a submission, they receive an AI probability score. This helps identify potential violations of academic honesty policies that prohibit undisclosed AI assistance, allowing educators to initiate conversations with students or apply grading penalties as per institutional rules.
Editors at news outlets, blogs, and publishing houses use the tool to verify that articles and manuscripts submitted by freelance writers are original human work. This ensures journalistic integrity and maintains reader trust by preventing the publication of low-effort, AI-generated content that may lack depth, accuracy, or unique perspective.
Human resources professionals and hiring managers analyze cover letters, writing samples, and take-home assignments provided by job candidates. Detecting AI-generated responses helps assess a candidate's genuine communication skills, critical thinking, and expertise, rather than their ability to prompt an LLM, leading to more informed hiring decisions.
SEO specialists and marketing agency managers audit website content, blog posts, and product descriptions, especially when outsourcing to freelance writers. Identifying AI-generated text helps ensure content is unique, engaging, and aligns with brand voice, as over-reliance on AI can sometimes lead to generic, repetitive text that performs poorly with both readers and search engines.
Students use the tool to self-assess their own drafts before submission. They can check if their paraphrasing or use of AI writing assistants has inadvertently produced text that appears machine-generated. This promotes responsible use of AI tools and helps students learn to maintain their authentic voice while leveraging technology appropriately.
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