Word Counter AI Detector
Professional-grade AI content verification integrated with world-class word counting metrics.
Advanced linguistic fingerprinting and watermark detection for the LLM-saturated era.
The AI Content Detector by TextWizard represents a sophisticated evolution in forensic linguistics, specifically engineered to navigate the landscape of 2026 LLM outputs. Utilizing a multi-stack detection architecture, it combines traditional perplexity and burstiness analysis with modern 'transformer-trace' identification. Unlike first-generation detectors, TextWizard's engine is trained on the architectural signatures of GPT-5, Claude 4, and Gemini 2.0 Ultra, enabling it to distinguish between human-written text and 'humanized' AI outputs that utilize synonymous randomization. The platform's 2026 positioning focuses on 'Semantic Stability Analysis,' which evaluates whether a text's logic flow follows predictable algorithmic patterns or exhibits idiosyncratic human leaps. For enterprise clients, the tool offers a 'Watermark Verification' module, specifically designed to identify cryptographically embedded markers from major AI providers. As regulatory frameworks like the EU AI Act demand greater transparency, TextWizard serves as a critical infrastructure layer for publishers, academic institutions, and legal firms seeking to verify the provenance of digital information in a world where synthetic media is the default.
Uses a color-coded visual overlay to identify specific sentences where the probability of AI generation exceeds 85%.
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.
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.
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Classifies detection based on the training data signatures of specific models (e.g., GPT vs Claude).
Automatically scans linked pages within a URL to identify sitewide AI content saturation.
Analyzes the logical transitions between paragraphs to detect the 'flat' logic characteristic of AI.
Identifies stenographic signatures embedded in text by primary LLM providers.
Simultaneous execution of AI detection and web-indexed plagiarism scanning.
Real-time callback system for automated CMS content moderation.
Ensuring freelance writers aren't using AI to bypass quality standards, which could lead to Google penalties.
Registry Updated:2/7/2026
Detecting high-level student papers written by sophisticated LLMs like GPT-5.
Ensuring witness statements or legal briefs aren't synthetic fabrications.