Crossplag

• Cross-language plagiarism detection (translation plagiarism)
• Single-language similarity checking across huge document databases
• AI Content Detector to assess whether text is AI-written
• Support for 100+ languages
• Upload support for Word, PDF, Rich Text, and other formats
• Detailed similarity reports with classification: identical, altered, cited
• Analytics dashboard for educational institutions
• Data privacy controls and GDPR compliance
• Offline and e-certificate reporting options
• API for business or institutional integration

Crossplag is a comprehensive plagiarism and AI-authorship detection platform designed for students, educators, researchers, and institutions. Its core strength lies in its ability to detect similarity not just within a single language, but across languages—making it uniquely capable of identifying translation-based plagiarism. Users can upload documents in popular formats like Word, PDF, and plain text, and the tool will scan against a vast database of web content and archived documents to highlight matching or highly similar passages.

Additionally, Crossplag includes an AI Content Detector that evaluates the probability that a given text was written by a human, co-written with an AI, or entirely AI-generated. This feature is particularly valuable in education and publishing, where maintaining authorship integrity and originality is critical. The platform supports over 100 languages, which allows it to serve a global user base and address cross-lingual academic challenges.

Crossplag places strong emphasis on data privacy. Users have control over whether their documents are stored in its database, and all data handling is designed to respect user ownership. For institutions, Crossplag provides role-based workflows, detailed analytics, and a management dashboard to monitor plagiarism across users. Offline reports and e-certificate exports are available for audits or academic verification. Altogether, Crossplag balances advanced detection capabilities with transparency, privacy, and broad applicability — offering a powerful tool to uphold academic and content integrity in a multilingual, AI-driven world.