Word Counter AI Detector
Professional-grade AI content verification integrated with world-class word counting metrics.
Precision-engineered cross-model AI content identification for high-integrity publishing.
AI Detector by SpellCheck.in is a high-performance forensic tool designed to distinguish between human-authored text and content generated by Large Language Models (LLMs) including GPT-4o, Claude 3.5, and Gemini 1.5 Pro. By 2026, the tool has evolved beyond simple classification to utilize a tri-stage analysis framework: evaluating linguistic perplexity, structural burstiness, and semantic fingerprinting. The technical architecture relies on a fine-tuned RoBERTa-based classifier paired with an adversarial detection layer that identifies 'watermarked' patterns common in modern generative outputs. Positioned as a mission-critical utility for SEO agencies, academic institutions, and legal departments, it provides granular sentence-level probability mapping. In an era dominated by synthetic media, SpellCheck.in serves the market by ensuring content transparency and maintaining the value of human-centric narratives. Its 2026 iteration features enhanced detection for 'stealth' AI writers that attempt to bypass standard filters by injecting intentional synthetic errors, making it one of the most resilient detectors in the current cybersecurity landscape.
Analyzes the variation in sentence length and complexity over a document's timeline.
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.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Identifies the specific LLM (e.g., Llama 3, Claude 3) used to generate the text.
Detects patterns used by 'AI Humanizers' to trick detection tools.
Supports detection across 25+ languages using cross-lingual embeddings.
Visual heatmap overlay showing specific phrases with high AI probability.
Measures how 'surprised' a model is by the choice of words in context.
Parallel processing of multiple PDF files for batch verification.
Ensuring student submissions are original and not generated by ChatGPT.
Registry Updated:2/7/2026
Generate integrity certificate
Preventing search engine penalties for low-effort AI-generated content.
Confirming the human origin of witness statements or affidavits.