Wanfang Wenchá
DomesticPaySmart Search
Plagiarism Check, AI Detection, Similarity Comparison
Developer:Beijing Wanfang Data Co., Ltd.
Wanfang WencháIntroduction
Wanfang Wenchá is Wanfang Data's platform for academic verification, specializing in plagiarism detection and literature comparison. It supports universities, research institutions, and publishers in ensuring compliance during submission, peer review, and成果 management. Users submit documents for analysis; the system compares them against its database to identify similar segments and source references for easy verification and revision. The generated report serves as a reference for corrections but does not constitute a formal conclusion. For critical findings, manual review and adherence to institutional protocols are recommended. Institutional users typically submit documents individually via institutional accounts or under annual plans, with specific quotas and procedures determined by their organization.
Main features of Wanfang Data
Key Product Features
- 1Plagiarism Detection: Compare Against Literature Database
- 2Similarity Fragments and Source Clues
- 3Generate inspection report for corrective action reference
- 4Bulk submission and management of institutions
- 5Assist with Compliance Verification of Deliverables
- 6Report Download & Record Retention
Wanfang Wencha Pricing Plans
Free Tier, Paid Plans, Billing Options, Private Deployment & Enterprise Pricing
- 1Free quota: Based on institutional subscription limits, with trial access available at select entry points.
- 2Billing: Institutional Annual Plans and Per-Article Detection
- 3Billing: Institutional purchase, pay-per-article
- 4Private deployment: Customized solutions for institutions available upon request; contact sales for pricing.
How to Use Wanfang Data
Entry URL, Registration Requirements, Brief Operation Steps, and API / Client Support
Entry Point:wencha.wanfangdata.com.cn
- 1Register: Log in with an institutional account and submit documents as required by the platform.
- 2Step: Log in to the platform
- 3Upload documents for analysis
- 4Submit Detection Task
- 5View similar clips and sources
- 6Download report and address issues as required
Wanfang WencháParameter Overview
Information compiled from public sources; official information prevails.
- Is data used for training?
- No public information available
- Underlying model
- No public information available
- Context length
- No public information available
- Multi-modal support
- Text, Files
- Search Online
- File-based detection; no web search supported.
- File Parsing
- PDF, DOCX
- Enterprise Edition and Deployment
- No public information available
- Compliance Certification
- No public information available
- Domestic Availability
- No public information available
Field Description:Will my input be used for model training, and can I turn this off?
Field Description:Primary models supported by the product, or the range of switchable models
Field Description:The maximum context size per conversation determines the length of documents it can read.
Field Description:Supported input and output formats, including text, images, audio, video, and files
Field Description:Supports real-time web search and provides source links?
Field Description:Supports uploading files and parsing capabilities, such as PDFs, spreadsheets, and code.
Field Description:Does it offer an enterprise edition, on-premises deployment, and team permission management?
Field Description:Publicly disclosed security compliance certifications and generative AI service filing status
Field Description:Convenience of access and supported payment methods in mainland China