ZeroGPT - Free ChatGPT Detector (AI Plagiarism Checker)

What

ZeroGPT is a web-based AI text detector and “AI plagiarism checker” designed to estimate whether a piece of writing is more likely human-written, AI-generated, or mixed. It is positioned as a free browser-based tool for checking articles, essays, documents, and webpage text, with support for pasted text and uploaded files.

The product appears to serve students, bloggers, researchers, educators, and other writers who need a quick screening step before submitting, publishing, or reviewing content. Its core workflow is simple: paste or upload text, run a scan, and review an AI-versus-human probability result along with sentence-level highlighting through its DeepScan feature.

Features

• AI content detection across multiple model sources — ZeroGPT states that it can detect text produced by a wide range of AI systems, including ChatGPT, Gemini, Claude, Copilot, Jasper, Llama, Perplexity, and paraphrasing or humanizing tools.
• Probability-based scoring — The tool returns AI-content and human-content percentages, helping users interpret whether text appears mostly human, mostly AI, or mixed.
• DeepScan sentence analysis — It highlights sentences for closer inspection, which is useful when reviewing specific sections that may need rewriting or validation.
• Paste or upload workflow — Users can either paste text directly into the editor or upload a file/document, which supports different review habits and content formats.
• No-signup web access — The site says users can run checks without creating an account or providing personal details, which lowers friction for occasional use.
• Browser-first availability with Chrome extension plans — The product is currently available through web browsers, and the page references a Chrome extension for checking webpage copy, although store availability appears to still be in progress.

Helpful Tips

• Treat results as screening signals, not proof — AI detection scores can help prioritize review, but high-confidence labels should still be checked against writing context, revision history, and source material.
• Test with representative samples — Since the interface mentions a minimum text length and a per-scan limit for better accuracy, use complete passages rather than isolated sentences when evaluating content.
• Use sentence-level output for editorial review — Features like DeepScan are most useful when paired with manual rewriting, citation checks, and stylistic editing rather than as a final pass/fail decision.
• Clarify actual operating limits before rollout — The page makes mixed claims about unlimited usage versus 2,000 words per scan, so teams should verify practical limits before adopting it in a formal workflow.
• Check deployment needs early — The site states the tool is browser-based only at present, with no desktop or mobile app currently available, which matters for institutions with managed-device environments.

OpenClaw Skills

Within the OpenClaw ecosystem, ZeroGPT could likely support content-governance and editorial-review workflows. A likely use case would be an OpenClaw agent that submits draft text for AI-detection screening, captures the probability output, and routes flagged passages to editors, teachers, or compliance reviewers for human assessment. The source page does not confirm a native integration or API, so this should be treated as a workflow concept rather than a documented capability.

OpenClaw skills built around this product could include essay pre-submission checks, publisher-side content triage, classroom review queues, or research-paper intake screening. In practice, that combination could help education, publishing, and knowledge-work teams standardize how they inspect AI-assisted writing: not by automating final judgment, but by turning detector output into structured review tasks, rewrite suggestions, and audit trails for human decision-makers.