Kazan SEO AI Detector
Professional-grade AI content detection and semantic SEO analysis at zero cost.
Enterprise-grade forensic text analysis for multi-LLM fingerprinting and semantic verification.
TextForge AI Detector stands as a sophisticated forensic tool designed for the 2026 landscape where generative AI noise has saturated the digital ecosystem. Utilizing a proprietary ensemble architecture, TextForge analyzes text through three distinct layers: Perplexity Analysis, Burstiness Mapping, and LLM-specific Signature Matching. Unlike first-generation detectors, TextForge is tuned to identify the subtle semantic 'rhythms' of advanced models like GPT-5, Claude 4, and Llama 3.5. Its technical stack leverages a transformer-based classification model that has been trained on a massive dataset of human-written and AI-synthesized cross-domain text. In 2026, the tool has shifted towards a 'Probabilistic Human Score' rather than a binary Yes/No, providing deep insights into which segments of a document exhibit high predictability—a hallmark of synthetic generation. For enterprise users, TextForge provides a robust API that integrates directly into CMS pipelines, ensuring that content submitted by freelancers or generated internally meets specific 'Humanity Thresholds' required for high-tier SEO performance and brand authenticity.
Cross-references text against known weights of GPT, Claude, and Gemini to identify the specific model used.
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.
Visualizes the token-level predictability of the text, highlighting 'safe' vs. 'robotic' segments.
Scrapes and analyzes live web pages for AI-generated content density without manual copy-pasting.
Uses semantic search to find non-verbatim matches that indicate AI-rewritten existing content.
Tracks how a document's score changes over multiple revisions.
Asynchronous endpoint capable of handling JSON payloads of up to 1,000 documents simultaneously.
Allows users to flag false positives to retrain the local instance model.
Ensuring freelance writers aren't using undetected AI that might trigger search engine penalties.
Registry Updated:2/7/2026
Editor verifies highlighted perplexity sections.
Professors need to distinguish between AI-assisted research and AI-written essays.
Verifying the authenticity of written evidence or digital communications in litigation.