Product features
A focused feature set for detecting AI-generated text, reviewing originality risk, and improving writing responsibly.
Check text for AI-generated passages from ChatGPT, GPT-5-style output, Claude, Gemini, and mixed human-AI drafts.
Review passage-level signals so editors, teachers, and team leads can see which parts of a document need follow-up.
Use confidence, context, and documented review practices to reduce overreliance on a single detector score.
Improve clarity, evidence, structure, and voice without framing revision as a way to bypass integrity systems.
Route high-risk or low-confidence documents into human review and keep audit records for integrity decisions.
Support schools, publishers, and businesses with review patterns that account for access control, retention, and sensitive writing.
Create repeatable review flows for academic integrity, content verification, compliance, and publishing operations.
Explain what the detector can and cannot claim, including how reviewers should interpret mixed or uncertain results.
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DeepDetector connects detection, evidence, policy, and revision. That makes it useful for classrooms, publishers, businesses, and teams that need consistent decisions instead of a black-box label.
The core feature is AI content detection with explainable evidence. DeepDetector helps reviewers inspect AI-writing risk, understand uncertainty, and decide what follow-up is appropriate.
Yes. DeepDetector includes writing-integrity tools such as responsible humanizing, rewriting, summarization, citation support, and review workflows that help improve text without hiding authorship.
Yes. API pages cover detection workflows for developers, including document review, risk routing, audit records, and privacy controls.