Professional linguistic analytics meets high-fidelity AI content verification for academic and corporate integrity.
TextInspector's AI Detector is a sophisticated forensic tool built upon the legacy of the original TextInspector linguistic platform developed by Professor Stephen Bax. In 2026, the tool has evolved into a multi-model ensemble system that distinguishes between human-authored text, AI-generated content (GPT-4o, Claude 3.5, Gemini Ultra), and hybrid 'cyborg' content. Unlike generic detectors, it leverages deep linguistic features including Lexical Diversity, CEFR alignment, and Part-of-Speech (POS) distribution to identify the 'statistical fingerprints' left by Large Language Models. Its architecture is specifically optimized for high-stakes environments like academic research and legal documentation, where false positives can have severe consequences. By combining traditional corpus linguistics with modern transformer-based classifiers, it provides a 'Probability of AI' score alongside a detailed breakdown of sentence-level perplexity. This hybrid approach allows users to see not just *if* a text is AI-generated, but *why* it deviates from natural human linguistic patterns, making it a preferred choice for university admissions and professional publishers.
Maps text complexity against the Common European Framework of Reference for Languages.
Verify content authenticity and safeguard SEO rankings with multi-model AI pattern recognition.
Enterprise-grade AI-content verification and research integrity for the global academic community.
Advanced academic integrity and AI authorship verification for the evolving educational landscape.
Enterprise-grade plagiarism and AI writing detection with German-engineered data privacy.
Verified feedback from the global deployment network.
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Visualizes the predictability of each sentence based on LLM training sets.
Cross-references text against the English Vocabulary Profile for lexical rarity.
Uses a combination of RoBERTa, DeBERTa, and custom-trained classifiers.
Parallel processing of multiple files through a single queue.
RESTful API allowing integration with Moodle, Canvas, and Blackboard.
Analyzes logical flow and semantic drift across long-form documents.
Professors needing to verify if a high-scoring essay was written by a student or a bot.
Registry Updated:2/7/2026
Agencies ensuring their freelancers aren't delivering purely AI-generated text that may be penalized.
Differentiating between a student improving their English and a student using ChatGPT to translate.