Ruixin Paper AI Detection is an academic text and image screening system that produces reports for human review, not final misconduct findings.
Ruixin Paper AI Detection: screening text and academic images
Ruixin Paper AI Detection is a screening system for academic integrity workflows. It offers AI-generated text detection and academic-image analysis. It can examine papers or coursework and present a weighted AI-risk result, risk levels, passage locations, and suggestions in a report. These results are leads for further review; by themselves, they do not prove that an author used AI, plagiarized, or violated academic rules.
Key capabilities
AI-text risk screening: The system analyzes paper text and highlights passages that may need attention. Product information lists several major language models as detection targets. Results may vary by text, language, writing style, and detector version. Treat a score as a model-generated risk signal, not definitive evidence of authorship or writing process.
Academic-image analysis: The materials describe checks for signs of AI generation or possible alteration in academic images, including experimental images and data charts. Review image provenance, original files, experiment records, and relevant expertise; an automated report alone should not determine whether an image is authentic.
Risk reports: Reports can show a weighted AI percentage, A–D risk levels, passage-level locations, and revision suggestions. These levels can help prioritize review, but institutional and publisher standards differ. A report does not replace their formal process.
Teacher and institution tools: The teacher interface supports batch submissions of papers or coursework, while an institution dashboard provides statistical summaries. Product information also lists DOCX, PDF, and JPG support and account connectivity between the PC site and a WeChat mini program. Confirm current formats, batch limits, and account settings in the product or institution configuration.
How to use it
- Visit the product login page and check current registration, institution verification, and role requirements.
- Select text screening, image screening, or a combined check, and upload a supported file.
- Review the risk score, level, and marked passages, noting the scope and version of the detector.
- Have a teacher or institution compare the report with drafts, references, experiment records, and other writing-process materials under the applicable rules.
Before batch screening student work, confirm notice, permission, and the institution's storage policy. Do not treat a report as a disciplinary finding.
Suitable situations
The system may support preliminary screening of papers or coursework, batch review by teachers, and additional review of academic images. Students may use reports as prompts to check their text and sources, but should not mechanically rewrite work to target a score. Arguments, citations, and research records should remain accurate.
Before using
Product information says data is encrypted in transit and at rest, supports private deployment, and allows scheduled deletion of original papers. The specific safeguards, deployment options, retention period, and deletion scope should be confirmed with the institution or administrator. Papers may contain personal information, unpublished research, or sensitive data; review permissions, privacy terms, and institutional policy before uploading.
Automated detection can produce false positives or miss content. An AI-risk score is not a plagiarism rate and does not independently establish misconduct. For disputed or high-risk results, review sources, draft history, citations, and research records, and follow the institution's process for appeal or human review.
FAQ
Does an AI-risk level prove academic misconduct?
No. It is a screening signal that requires human review alongside original materials, writing history, and institutional rules.
Which file types are supported?
Product information lists DOCX, PDF, and JPG and mentions text, image, and combined checks. Confirm the current supported formats and upload limits.
How are uploaded papers stored?
The product materials describe encryption and configurable scheduled deletion of original papers. Confirm retention and deployment settings with the institution or service administrator.
Frequently asked questions
Does an AI-risk level prove academic misconduct?
No. It is a screening signal requiring human review with original materials and institutional rules.
Which file types are supported?
Product information lists DOCX, PDF, and JPG; confirm current formats and limits.
How are papers stored?
Materials describe encryption and scheduled deletion; confirm retention and deployment settings with the institution.
