Yanbi AI

The core promise is that Yanbi AI rebuilds sentences at the meaning level rather than trading one synonym for another, which is a harder job but a more durable one. That approach is what separates a tool that lowers detection scores from one that just shuffles vocabulary and leaves the telltale AI rhythm in place. For readers, the practical payoff is output that still says what you meant.

The tool splits its rewriting into Academic, Oral, and Zhuque modes. Academic keeps formal register so a paper doesn't slide into casual speech, Oral targets blog and marketing copy, and Zhuque is tuned for that particular detector. Picking the right mode matters more than most users expect, because a paper run through the Oral setting can come back sounding like a chat message instead of a thesis. That's the difference between a usable result and one you have to fix by hand.

Tables, headings, footnotes, and cross-references survive the rewrite, according to the developer. Anyone who has spent an evening re-formatting a document after a bulk edit knows why this matters. It's the feature that makes the tool worth trying on a long paper instead of only on single paragraphs.

AIGC removal and duplicate-text reduction overlap mechanically, so Yanbi AI handles both. You get one workflow for two problems. That helps if your document fails on both counts. The two aren't the same thing, so treat the duplication check as a bonus rather than a guarantee.

You can upload files up to 50 MB in docx, txt, or md, rather than pasting text in chunks. That ceiling covers full theses and long reports, so you're not forced into a piecemeal workflow. If your document is locked to another format, you'll need to convert it first.

The service handles both Chinese and English text, so it works for bilingual students and anyone writing across markets. If your source isn't in either language, this isn't the tool for you.