AI Detection, Similarity and Plagiarism Tools

This collection catalogues companies offering plagiarism detection, AI content detection and similarity checking solutions for academic and professional assessment. The collection provides an overview of specialist providers working in the evolving field of academic integrity and originality verification. Solutions documented include: Plagiarism and similarity detection – text-matching engines with multi-language support, translation plagiarism detection, source identification, and similarity reports with attribution and percentage analysis. AI-generated content detection – machine learning models designed to identify AI-authored text and distinguish between human and LLM-generated content across multiple AI platforms. Integrated academic integrity workflows – checking tools with real-time reporting, student self-check capabilities, role-based access controls, audit trails, and integration options with LMS platforms, assessment systems and marking interfaces. Multi-modal originality verification – solutions supporting written assignments, coding submissions, oral examinations, and portfolio evidence, with features including writing playback analysis, code governance, and IP compliance checking. API and white-label options – deployment models including standalone applications, browser extensions, embedded platform integrations, and API access for custom implementations with varying data protection and compliance features. These tools are used across educational institutions, certification bodies, corporate training programmes and online learning platforms, with offerings ranging from basic similarity checking to comprehensive academic integrity suites. Disclaimer The Test Community Network does not endorse any of the products or services featured in this collection, nor does it make any claims regarding their quality, accuracy or effectiveness. These listings are provided for informational purposes only. Users should exercise professional judgement when selecting and implementing any academic integrity solution. Plagiarism detection and AI content identification tools should never be used as the sole means of verification. Human review and contextual assessment remain essential components of any academic integrity process. When evaluating solutions, please note that free services often operate on a business model where user data becomes the product. Carefully review privacy policies, data retention practices and terms of service to understand how your institutional and student data will be used, stored and potentially shared.