AIDetector.org

AIDetector.org has evolved into a cornerstone of content integrity in the 2026 digital landscape, utilizing advanced transformer-based classifiers to distinguish between human-authored and LLM-generated text. The platform leverages a dual-engine architecture: Engine A focuses on perplexity and burstiness metrics, while Engine B utilizes semantic fingerprinting to detect the structural patterns inherent in models like GPT-5, Claude 4, and Gemini 3.0. Positioned as a mission-critical tool for publishers, academic institutions, and search engines, it provides high-granularity probability heatmaps that highlight specific passages suspected of synthetic generation. By 2026, the tool has integrated deep-fake text detection capable of identifying 'AI-human hybrids' where text has been partially rewritten by machines. The architecture is built for high-throughput, offering low-latency API endpoints that process millions of words per hour. Its market position is defined by its transparency—offering detailed forensic reports rather than simple binary scores—making it the preferred choice for legal and journalistic verification processes where evidentiary standards are high.