Word Counter AI Detector
Professional-grade AI content verification integrated with world-class word counting metrics.
Enterprise-grade linguistic analysis for identifying LLM-generated content across multi-model architectures.
The AI Detector by Web Search Tools is a specialized utility designed for the 2026 digital landscape where synthetic content saturation has reached a critical peak. Architected with a multi-layered detection engine, it evaluates text using two primary metrics: Perplexity (the measure of randomness in word choice) and Burstiness (the variation in sentence structure and length). Unlike basic classifiers, this tool is calibrated to distinguish between human-written text and content generated by advanced LLMs including GPT-4o, Claude 3.5 Sonnet, and Gemini Pro. The platform operates on a transformer-based analysis model that looks for mathematical patterns inherent in predictive text generation. As of 2026, it serves as a frontline defense for SEO professionals, educators, and digital publishers seeking to maintain content authenticity and avoid search engine algorithmic penalties associated with low-quality automated content. The tool's lightweight web-based interface allows for rapid processing without the overhead of heavy software installation, making it an essential component of the modern content verification stack. While primarily a free utility, its accuracy in high-stakes environments like academic submissions and legal documentation makes it a preferred choice for rapid, first-pass validation.
Calculates the complexity and randomness of the text distribution based on a language model's probability.
Professional-grade AI content verification integrated with world-class word counting metrics.
Professional-grade linguistic analysis to distinguish between human-authored and LLM-generated content with high-granularity scoring.
Enterprise-grade forensic engine for high-precision AI content verification and linguistic integrity.
Verify content authenticity with advanced linguistic pattern recognition and deep-scan AI analysis.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Measures the variance of sentence length and structure across the document.
Uses a heatmap overlay to show which specific parts of a paragraph are most likely AI-generated.
Regularly updated weights to detect patterns specific to Claude, Gemini, and GPT architectures.
Algorithm processes mathematical structures of language rather than just vocabulary.
Session-based processing without the need for PII (Personally Identifiable Information) storage.
Asynchronous data processing providing results in sub-2-second latency.
Ensures that outsourced blog posts will not be flagged by search engine spam filters for being synthetic.
Registry Updated:2/7/2026
Helps educators verify if essays were generated using LLMs rather than student research.
Ensures that discovery documents or briefs are not inadvertently containing hallucinations from AI assistants.