Wenchao
The academic quality inspection platform launched by Wanfang Data can simultaneously complete multi-element detections such as text similarity, text AIGC, image reuse, reference risk and language specification in one submission.
Updated: 2026-10-26
What is Wenchao?
Wanfang Wencha is an intelligent inspection platform launched by Wanfang Data for the quality evaluation of academic research. Officially, it is said to use generative pre-trained large model technology to build an intelligent, professional and integrated academic quality assurance system. It integrates text similarity, AI generation, image reuse, reference risk, language norms and format checks into a comprehensive inspection that provides "multiple element results with one submission". The official stated that the data base aggregates various types of text and image comparison resources and maintains rapid updates.
Who is it for?
- University teachers and students: Conduct self-inspections on similarity and AIGC before submitting their graduation theses for review, and identify problematic paragraphs in advance.
- Journal editorial departments: Use the comprehensive inspection to conduct batch evaluation of the academic compliance and language norms of submitted manuscripts.
- Scientific research managers: Verify retractions, alert journals and risks of dishonest references for material review.
- Research groups that need to check images for reuse: Inspect the reuse of images within the group to avoid academic risks at the image level.
- Researchers writing application materials: Use language specification checks to identify sensitive and knowledge-based errors.
Key features
6Comprehensive Inspection
One submission simultaneously completes detection of image reuse and AI generation, text similarity, text AI generation, reference risks and author risks.
Text Similarity Detection
Adopts a sentence-level orthogonal basis soft clustering inverted index detection algorithm with independent intellectual property rights, as claimed by the official, to identify duplicates and provide a detailed comparison report.
Text AIGC Detection
It is officially claimed that it can identify text content generated by mainstream AI tools and provide a full-text annotation report with annotations to specific paragraphs.
Image Detection
Checks for duplicate images within a group, within a single paper, or in published papers, covering scenarios of image reuse.
Language Standard Check
Reviews various issues such as ideology, sensitive words, knowledge errors, and faulty word usage.
Risk and Format Verification
Verify the integrity risks such as retractions of references and their authenticity, and check whether the thesis complies with the format specifications of universities or journals.
How to use Wenchao
- The test report is an auxiliary material.
- The official also emphasizes that the results are for academic quality reference only.
- the final conclusion shall be subject to the determination of the university or journal.
- The comprehensive inspection is applicable in different scenarios from single-item tests.
- Choose according to your needs and avoid paying for functions you won't use.
- Image detection is sensitive to scanning quality.
- Try to submit clear original image files instead of screenshots.
- The AIGC detection provides full-text annotations and propensity judgments, and should not be used alone as the basis for disciplinary actions or other handling.
- The risk verification of references should be combined with the check of one's own citations, and the citation should be revised after manual confirmation.
- In addition, it should be specially noted that the output of AI detection is a "probability judgment" rather than a final conclusion: misjudgments are not uncommon in scenarios such as short texts, dense professional terms, or texts that have been deeply rewritten manually, and it is not recommended to use it as the sole basis for academic misconduct or content violations.
Traffic & popularity
Data month Sep 2026
Wenchao receives about 1.1K visits per month.
Monthly visits
12 monthsTraffic sources
- Search42.0%
- Direct32.9%
- Referrals24.9%
- AI assistants0.0%
- Social0.0%
Top countries
- China93.6%
- Singapore6.4%
Estimated from third-party traffic data.
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