Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Advanced linguistic analysis to distinguish between human-written and machine-generated text.
AI Detector by Editpad is a specialized NLP utility designed for the 2026 content ecosystem where the distinction between LLM-generated and human-authored text is critical for SEO and academic trust. The tool operates using a dual-metric assessment framework: Perplexity (measuring the randomness of text) and Burstiness (measuring the variation in sentence structure). By 2026, the tool has integrated multi-model detection capabilities, allowing it to identify patterns from GPT-4o, Claude 3.5, Gemini Pro, and Llama 3 with high granular accuracy. Its architecture leverages a fine-tuned Transformer-based classifier that provides a percentage-based probability score. Positioned as a mid-market leader for independent writers and educators, it bridges the gap between basic free tools and high-enterprise solutions like Originality.ai. The platform is increasingly used by SEO agencies to verify 'Human-First' content requirements mandated by search engine algorithms. Its 2026 iteration includes improved sensitivity to 'AI-human hybrid' content, where AI drafts are manually edited, providing users with a heatmap of likely machine-generated segments.
Calculates the mathematical complexity of the text, identifying the likelihood of a language model predicting the next word.
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.
Post queries, share implementation strategies, and help other users.
Measures the variance in sentence length and structure; AI tends to be uniform, while humans vary significantly.
Supports detection in 15+ languages including Spanish, French, German, and Italian using localized NLP models.
Identifies which specific LLM (e.g., GPT, Claude) likely generated the text.
Directly links detection results to an AI Paraphraser and Plagiarism checker.
Extracts text from complex PDF and DOCX structures while maintaining formatting context.
Stores previous detection reports for Pro users to track content evolution.
Ensuring student submissions are original and not generated by LLMs.
Registry Updated:2/7/2026
Export report for student feedback
Avoiding search engine penalties for low-value AI-generated content.
Agencies verifying that contractors are delivering human-authored work.