Draft:Red Paper (software)
Comment: There's something strange about the references here. The journal websites cited appear to be nominally independent, but there are multiple Red Paper ads on their websites. Are the "editorial" articles native advertising? In addition, they're stylistically near-identical, and this draft article reads like LLM. ~ A412 talk! 13:15, 2 July 2026 (UTC)
 | This is a draft article. It is a work in progress open to editing by anyone. Please ensure core content policies are met before publishing it as a live Wikipedia article. Find sources: Google (books · news · scholar · free images · WP refs) · FENS · JSTOR · TWL Last edited by A412 (talk | contribs) 39 days ago. (Update)
Finished drafting? |
| Red Paper | |
|---|---|
| Original author | Mr. Akhil Gupta |
| Release | 2025 |
| Type | Plagiarism detection, AI content detection |
| Website | checkplagiarism |
Red Paper is an AI-powered plagiarism detection and content analysis platform launched in 2025 in India, with its office located in Rohini, Delhi. It was founded by Mr. Akhil Gupta. The service is designed to verify the originality and authenticity of written content, and is aimed at students, educators, researchers, writers, and publishing professionals.
Company details
| Product name | Red Paper |
|---|---|
| Founder | Mr. Akhil Gupta |
| Founded | 2025 |
| Headquarters | Rohini, Delhi, India |
| Website | checkplagiarism.ai |
Overview
Red Paper provides plagiarism checking alongside AI-generated content detection. The platform analyzes documents and web content to identify copied material and machine-generated text. It is offered as a cloud-based service and is accessible through the web at checkplagiarism.ai.[1]
Features
Red Paper offers two primary detection capabilities:[2]
- Plagiarism detection — Compares submitted text against a large index of web pages, journals, and academic publications to identify matching or closely paraphrased content.
- AI text detection — Flags content that appears to have been produced by large language models such as ChatGPT, GPT-4, and Gemini.
The platform accepts input files in several formats, including PDF, DOC, DOCX, and RTF.
Detection technology
Red Paper combines database-driven similarity matching with machine learning to detect both copied and AI-generated content. Its plagiarism detection compares submitted text against a broad range of sources, while its AI detection uses built-in machine learning algorithms to identify text produced by popular AI writing tools.[3]
Content database coverage
The platform draws on several categories of source material:[4]
- Web and open sources — Actively crawls and indexes live web pages across the internet.
- Academic databases — Scans a large volume of published works, including journals, books, and conference papers.
- Institutional repositories — Connects with academic consortia, university assignments, and previously submitted student papers.
- Shodhganga integration — Provides matching against India's national repository of theses and dissertations.
Language and multilingual support
Red Paper supports plagiarism checking across approximately 190 languages, including English, various international languages, and multiple Indian regional languages.[5]
Intended users
The service is positioned for use by students, teachers, educators, researchers, writers, content creators, universities, schools, businesses, and other professionals who require plagiarism detection and verification of content originality.
Availability
Red Paper is available as a software-as-a-service product and is listed in third-party software directories. It was launched in 2025 in India, with its office located in Rohini, Delhi.
See also
References
- ^ "How to Check Plagiarism the Smart Way: A Practical Guide for Researchers & Medical Professionals". Journal of Surgery Science. 2025. Retrieved 1 January 2025.
- ^ "Research Integrity in Anesthesiology Publishing: Red Paper Plagiarism Checker". Anesthesiology Journals. 2025. Retrieved 1 January 2025.
- ^ "Plagiarism Checker for Agricultural and Food Science Research: A Practical Guide". Agricultural Journals. 2025. Retrieved 1 January 2025.
- ^ "How Orthopaedic Doctors Can Avoid Plagiarism: Simple Guide". Orthopaedic Paper. 2025. Retrieved 1 January 2025.
- ^ "Originality in Paediatric Nursing Research: JPCHN Editorial". Journal of Paediatric and Child Health Nursing. 2025. Retrieved 1 January 2025.
External links
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