Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Academic-grade AI content verification with deep-learning linguistic analysis.
AI Detector by RefME is a specialized forensic linguistic tool designed to identify machine-generated text within academic and professional contexts. Operating on a proprietary ensemble of Transformer-based models, including fine-tuned RoBERTa and DeBERTa architectures, the platform analyzes text for specific statistical markers such as 'perplexity' and 'burstiness'—metrics where human and AI writers diverge significantly. In the 2026 market, RefME positions itself as a critical layer in the 'Trust-Tech' stack, bridging the gap between automated content generation and verifiable human authorship. The tool distinguishes between various LLM outputs, including GPT-4o, Claude 3.5 Sonnet, and Gemini Pro 1.5, providing a probability heatmap that highlights specific suspicious passages. Its architecture is optimized for long-form academic papers, ensuring high sensitivity to 'AI-polishing'—where human text is edited by AI—while maintaining a low false-positive rate. As an evolution of the RefME citation brand, it integrates deeply into the research workflow, offering not just detection, but a path toward proper attribution and academic compliance.
Color-coded visualization of text segments based on AI-predictability scores.
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Forensic-level AI content detection and advanced humanization for SEO-proof content.
Transform AI-generated text into undetectable, human-grade content with advanced linguistic humanization.
A non-profit open-source detector for educational integrity and transparent AI verification.
Verified feedback from the global deployment network.
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Classification engine that identifies if text was likely generated by GPT, Claude, or Gemini.
Detects 'stealth' AI tools and character-swapping tricks used to fool standard detectors.
Cross-references citations in the text to ensure they are real and not 'hallucinated'.
Asynchronous endpoint for scanning thousands of documents simultaneously.
Supports detection in over 30 languages using cross-lingual embeddings.
Provides a statistically backed confidence interval for every detection result.
Professors needing to verify the originality of student-submitted essays.
Registry Updated:2/7/2026
Digital agencies ensuring they aren't publishing low-quality AI spam that violates search engine policies.
Editors verifying that freelance contributions are original human writing.