Quetext is an AI-powered plagiarism checker that helps users verify content originality with deep scanning and citation tools.

Quetext is a cutting-edge AI-driven plagiarism detection solution that safeguards content authenticity across multiple applications. The platform employs advanced algorithms to analyze text against billions of online sources, academic publications, and proprietary databases, delivering precise similarity assessments. Users can initiate scans through three convenient methods: direct text input, file uploads (supporting various formats including DOCX, PDF, and TXT), or URL submissions. The system produces comprehensive reports featuring color-coded similarity indicators, percentage matches, and direct references to source materials. A standout feature is the integrated citation generator that supports major academic formats (APA, MLA, Chicago) to facilitate proper attribution. For organizational users, Quetext offers batch processing capabilities and cloud storage integrations, enabling efficient handling of multiple documents. The user dashboard provides access to historical scans, subscription management, and analytical insights. What sets Quetext apart is its deep search technology that identifies not just verbatim matches but also sophisticated paraphrasing and structural similarities. This makes it particularly valuable for academic integrity offices, publishing professionals, and corporate compliance departments. The platform maintains rigorous data security standards with enterprise-grade encryption and automatic document purging post-analysis. Available as both a web application and API solution, Quetext operates on a freemium model for individual users while providing scalable enterprise plans with team collaboration features and high-volume scanning capabilities.