Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Industrial-grade forensic analysis for AI-generated text with multi-model fingerprinting.
The AI Content Detector by TextGen is a sophisticated forensic tool engineered for the 2026 digital landscape, where the distinction between human and synthetic text has become increasingly blurred. Utilizing a multi-layered detection architecture, it moves beyond simple perplexity and burstiness metrics to include semantic entropy analysis and transformer-specific fingerprinting. The engine is trained on a massive corpus containing outputs from GPT-4o, Gemini 1.5 Pro, Claude 3.5 Sonnet, and Llama 3, allowing it to identify the distinct mathematical signatures of various LLMs. Its 2026 market position is solidified by its focus on 'ghostwriting' detection—identifying cases where AI has been used to heavily edit human text. The tool provides a granular, sentence-level heatmap that differentiates between purely synthetic text, human-written content, and AI-assisted transitions. Designed for enterprise-scale operations, it offers high-throughput API endpoints and seamless integration into CMS workflows, ensuring that publishing houses, academic institutions, and legal firms can maintain content provenance in an era of automated misinformation.
Visualizes the predictability of each word within the text sequence using heatmaps.
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.
Identifies the specific LLM architecture (e.g., GPT, Claude, Llama) used to generate the text.
Processes up to 500 documents simultaneously through a parallel processing queue.
Detects attempts to bypass AI detectors through tools like Quillbot or custom rewriters.
Analyzes the logical flow and semantic consistency between paragraphs.
Stores previous scans and tracks changes in content integrity scores over time.
Supports detection across 50+ languages including complex syntaxes like Mandarin and Arabic.
Students using Claude or GPT to write complex essays that bypass basic detectors.
Registry Updated:2/7/2026
Ensuring freelance writers are not submitting 100% AI-generated content which may be penalized by search engines.
Identifying if legal arguments or evidence summaries were synthesized by AI without review.