PaperRed

PaperRed is an all-in-one academic research AI assistance platform built by Shandong Zhisheng Information Technology. Integrating the full-strength DeepSeek R1 model, it provides Chinese undergraduates, graduate students, and researchers a complete solution spanning topic selection, literature handling, writing, plagiarism checking, and thesis defense. Trained on hundreds of millions of real literature records, it is deeply adapted to authoritative databases such as CNKI and Weipu.

Core Capabilities

• AI-powered writing: Quickly drafts thesis manuscripts, opening reports, literature reviews, task statements, and other academic documents across humanities, science, and engineering
• Plagiarism detection: Three tiers—free, Professional (3 RMB per paper), and Flagship (1.5 RMB per thousand characters)—with database coverage from 1980 to 2026
• AIGC detection: A first-of-its-kind AIGC content detection system that accurately identifies the proportion of AI-generated content, using deep learning to analyze textual coherence and logical structure
• Dual-reduction technology: Its core competitive edge—one operation simultaneously lowers the plagiarism rate (42% to 8.3%) and the AIGC rate (56% to 4.2%) through semantic restructuring rather than simple synonym swapping
• Literature management: Connects to CNKI and Weipu databases with literature aggregation, smart retrieval, AI reading, and automatic review generation
• Formatting: Automatic GB/T 7714-standard formatting, formula editor, scientific illustration, and one-click defense PPT generation

Use Cases Undergraduate theses, graduate dissertations, journal submissions, and coursework writing. If you need to pass your institution's dual checks (plagiarism + AIGC), this is a tool tailor-made for Chinese academic standards.

Unique Advantages China's first dual-reduction engine, tackling plagiarism and AIGC rates in one pass. Deeply optimized for CNKI and Weipu algorithms, it fits Chinese university requirements better than Grammarly or Turnitin. Its freemium model is student-friendly, with daily free allowances that never expire and pay-as-you-go pricing without subscription pressure.

Editor's Review Coverage spans the entire academic workflow, and the dual-reduction technology is unique in the Chinese market; users rate it 4/5 stars. Caveats: the officially claimed reduction results lack independent third-party verification, so test with the free allowance first. Before final submission, always re-check with your school's designated system, and verify the authenticity of AI-generated references yourself.