Rui Xiaojian

Rui Xiaojian does just one thing: determine whether a piece of content is AI-generated. It supports text, images, audio, and video—just drag your file in and it starts processing, with no need to pick the detection type yourself.

It can identify a broader range of risks than typical “AI detectors”: beyond the most common AI-generated-content detection, it also covers deepfake face swaps, Photoshop tampering, re-photographed images, and voice cloning. The team is backed by state-owned capital, and its official line is that it has accumulated more than 20 core forensic authentication technologies, targeting relatively serious use cases such as regulatory anti-fraud and copyright protection.

What’s more useful is how the results are presented. It doesn’t just throw out a number like “85% likely AI” and call it a day; instead, it produces a visual authenticity report that marks the suspicious areas, explains the basis for its judgment, and lets you follow up with multiple rounds of dialogue to ask why it reached that conclusion. This is crucial for people who need to put the conclusions into written materials—a bare score can’t serve as evidence.

Typical uses include self-checking academic materials, verifying news authenticity, gathering anti-fraud evidence, and copyright enforcement for self-media and e-commerce. To be clear, no AI detection tool is 100% accurate—the plain-text category is especially prone to false positives—so it is safer to treat it as one clue rather than a definitive conclusion.