
Yanbi AI Writing
A tool to reduce AIGC traces for papers and novels. The official claims it reduces the AI rate through semantic optimization and style reconstruction, is compatible with detection platforms such as CNKI, Weipu and Wanfang, and new users can experience it for free.
Updated: 2026-10-26
What is Yanbi AI Writing?
Yanbi AI Writing (officially called Yanbi Jiang AI) is an online tool that reduces traces of AIGC and removes redundancy. Its official positioning is "Professional AIGC Trace Reduction ยท Thesis Redundancy Removal". The official states that it has more than 100,000 users, guarantees to reduce the AIGC rate to below 20.00%, and offers refunds if the rate exceeds 20%. It supports one-click processing by uploading or pasting text. The official website indicates compatibility with detection platforms such as CNKI, Weipu, Wanfang, and Zhuque, and also provides access to more than 120 writing tool entrances.
Who is it for?
- Postgraduate students who are worried that the AI-generated first draft has an overly mechanical feel, which will affect the defense and review.
- Undergraduate graduates who completed the first draft with the help of AI and need to adjust it according to their school's detection standards.
- Online novel and fiction writers whose content is blocked by AIGC detection on platforms.
- Journal contributors who need to submit AIGC detection reports.
Key features
7Reduce AIGC Rate
The official states that it adopts semantic optimization and style reconstruction technologies to eliminate AI traces at the semantic level rather than simply replacing words.
Multi-platform Compatibility
The official claims real-time compatibility with major detection platforms such as CNKI, Weipu, Wanfang, Zhuque, and PaperYY.
Document Upload and Processing
The official website supports .docx, .txt, and .md formats, with a maximum single file size of 50 MB.
Version Selection
The FAQ section on the official website lists different versions such as the Academic Edition and the Spoken Language Edition. For thesis scenarios, the Academic Edition is recommended to maintain the standardization of academic terminology.
Support for Chinese and English
The official claims to provide AI trace reduction and plagiarism reduction optimization for Chinese and English theses.
AI Reduction for Novels
The official website lists this as an independent service targeting online literature and novel writers.
Effect Guarantee
The official website displays comparison test results before and after optimization, and clearly states that a full refund will be provided if the AIGC rate remains above 20%.
How to use Yanbi AI Writing
- **Academic Integrity First**: These tools are suitable for optimizing self-written content with awkward expression.
- It is not advisable to use them to cover up ghostwriting or evade reviews.
- Always comply with the regulations of your school and journal first.
- Back up the original manuscript before processing.
- rewriting may alter terminology and data expressions, so it is necessary to check professional expressions paragraph by paragraph.
- Figures such as the one showing a drop from 82.6% to 12.8% displayed on the official website are based on the official metrics, and the actual results vary depending on the text and the detection platform.
- First, use the free trial quota for new users to test a short passage.
- Ensure the rewritten sentences are still coherent and the logic is not damaged before processing the full text.
- If the uploaded content contains unpublished research data or others' works, pay attention to confidentiality and copyright.
- Check the official terms again before commercial use and submission.
Traffic & popularity
Data month Sep 2026
Yanbi AI Writing receives about 2.6K visits per month and ranks #7,939,132 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct41.2%
- Search32.8%
- Referrals10.7%
- Social6.2%
- Display ads2.9%
- Other6.2%
Top countries
- United States34.2%
- Brazil24.3%
- Singapore22.2%
- Taiwan, China15.4%
- Malaysia4.0%
Estimated from third-party traffic data.
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