Word Counter AI Detector
Professional-grade AI content verification integrated with world-class word counting metrics.

Frictionless linguistic analysis and AI-signature detection for the modern web.
Online Correction AI Detector represents the 2026 evolution of lightweight, browser-native linguistic tools. Utilizing a hybrid architecture that combines traditional heuristic grammar analysis with advanced Transformer-based detection models, the platform identifies the probability of AI involvement in text generation. Its technical framework relies on 'Perplexity' and 'Burstiness' metrics to differentiate between the predictable patterns of Large Language Models (LLMs) and the erratic, high-variance structures of human prose. Positioned as an accessible entry point in the verification market, it bypasses the heavy credit-based systems of enterprise competitors in favor of an ad-supported, instant-access model. The 2026 version has been optimized for low-latency processing, allowing users to scan up to 2,000 words per session with nearly instantaneous results. While it lacks the deep forensic reporting of high-end competitors, its integration of stylistic correction with AI detection makes it a versatile utility for students, editors, and casual content creators who require a quick sanity check on document authenticity and grammatical precision.
Analyzes the variation in sentence length and structure across the document.
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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Measures how surprised a language model is by the text sequence.
Adjusts detection thresholds based on regional English variants (US, UK, AU, etc.).
A rule-based engine that runs parallel to the AI detection scan.
Uses NLP to understand word usage context rather than just dictionary matching.
Text is processed in volatile memory and not stored for model training.
Leverages client-side JavaScript for initial heuristic filtering to reduce server load.
Ensuring an essay doesn't trigger false flags before final submission.
Registry Updated:2/7/2026
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Editors verifying that a 'human-written' article isn't a ChatGPT raw dump.
Cleaning up AI-generated email drafts to sound more human and error-free.