Anyword AI Detector
Enterprise-grade content verification and AI detection for high-performance marketing teams.
Enterprise-grade linguistic fingerprinting for distinguishing human-authored content from synthetic LLM outputs.
AI Detector by TextExtend utilizes a sophisticated ensemble of Transformer-based models and statistical linguistic analyzers to identify content generated by LLMs including GPT-4o, Claude 3.5, Gemini 1.5, and Llama 3. As of 2026, the tool has evolved beyond simple probability scoring to incorporate 'Semantic Jitter' analysis and 'Burstiness' metrics, which effectively flag text even after passing through advanced 'AI Humanizers'. The architecture relies on multi-stage processing: first, a Perplexity and Burstiness assessment; second, a pattern-matching stage against known model-specific linguistic footprints; and third, a contextual coherence check. This three-tier approach allows for high precision while maintaining a low false-positive rate. In the current market, TextExtend distinguishes itself through its granular sentence-level breakdown, providing users with a heatmap of AI influence rather than a binary score. This makes it an essential tool for digital publishers, educational institutions, and legal firms who require verifiable proof of authorship. The platform’s 2026 update includes deep integration with watermarking standards proposed by the C2PA, allowing it to detect not just raw AI text, but also content modified by automated rewriting tools.
Measures the predictability of text against a 100-billion parameter baseline model to detect non-human patterns.
Enterprise-grade content verification and AI detection for high-performance marketing teams.
Enterprise-Grade AI Content Forensics and Linguistic Integrity Verification
Enterprise-grade linguistic fingerprinting for authenticating human-generated content.
Advanced linguistic fingerprinting to identify synthetic content with forensic precision.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Analyzes the variation in sentence length and structure (Standard Deviation of syntax).
Uses localized probability tensors to identify exactly which parts of a document were likely generated.
Checks for a mix of human-edited and AI-generated text using transition boundary detection.
Natively supports English, Spanish, French, German, and Mandarin using cross-lingual embeddings.
Specifically looks for 'cloaking' techniques used by tools like StealthGPT.
Reads and validates hardware-level content credentials and digital signatures.
Students using LLMs to bypass traditional plagiarism checkers.
Registry Updated:2/7/2026
Ensuring freelance writers are not submitting 100% AI content which may be de-indexed by Google.
Verifying the human origin of witness statements and legal briefs.