Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Forensic-grade linguistic analysis to distinguish between human creativity and synthetic intelligence.
AI Detector by TextSummarize is a specialized forensic utility within the TextSummarize ecosystem, designed to provide high-fidelity analysis of textual provenance. As of 2026, the tool employs a sophisticated ensemble of transformer-based classifiers and statistical analysis engines that evaluate 'perplexity' and 'burstiness'—the two primary indicators of LLM-generated content. Unlike basic keyword-matching detectors, this tool utilizes a deep learning model trained on a massive corpus of human-authored and AI-generated (GPT-4, Gemini, Claude 3.5, and Llama 3) datasets. Its technical architecture focuses on sentence-level granularity, providing users with a heatmap of probability rather than a binary output. Positioned for the editorial and academic sectors, it addresses the 2026 market demand for transparency in content sourcing. The tool is optimized for low-latency processing, allowing for rapid verification of long-form articles. Its market position is defined by its accessibility and the integration of 'Zero-Shot' detection techniques, which allow it to identify content from even newly released or fine-tuned models without needing specific retraining on those models' outputs.
A visual overlay that color-codes text based on the statistical likelihood of synthetic origin at the token level.
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.
Raw data output measuring the predictability (perplexity) and structural variation (burstiness) of sentences.
Cross-references text against fingerprints from GPT-4o, Claude 3.5, Gemini, and Llama.
Utilizes general linguistic patterns rather than specific training on model outputs to identify new AI versions.
Allows side-by-side comparison of human drafts vs. AI-refined versions.
Support for English, Spanish, French, and German using multi-lingual embeddings.
Correlates AI-detected segments with external sources to check for hallucinated citations.
Ensuring students are submitting original human-written work rather than LLM-generated essays.
Registry Updated:2/7/2026
Avoiding Google search penalties for mass-produced, low-quality AI content.
Verifying that submitted articles haven't been synthesized from existing web data via AI.