Advanced linguistic forensics to distinguish human creativity from machine-generated text with enterprise-grade accuracy.
AI Detector by SpellChecker represents a sophisticated layer in the content validation stack of 2026. Built on a hybrid architecture of transformer-based classifiers and statistical linguistic analysis, the tool goes beyond simple pattern matching. It evaluates 'Perplexity' (the randomness of word choices) and 'Burstiness' (the variation in sentence structure) to identify the distinct signatures of LLMs like GPT-5, Claude 4, and Gemini 2.0. In the 2026 market, where AI-human collaboration is standard, this tool has pivoted from 'binary detection' to 'hybridity scoring,' providing a percentage-based breakdown of which sections are likely human-assisted versus fully automated. The technical engine utilizes deep learning models trained on vast datasets of both human and AI-authored content, specifically tuned to recognize the outputs of 'AI humanizer' tools. Its position as a market leader stems from its low false-positive rate and its ability to process multi-format inputs ranging from raw text to complete web crawls, making it indispensable for SEO agencies, academic institutions, and legal firms requiring verifiable content provenance.
AI Detector by SpellChecker represents a sophisticated layer in the content validation stack of 2026.
Explore all tools that specialize in linguistic style analysis. This domain focus ensures AI Detector by SpellChecker delivers optimized results for this specific requirement.
Color-coded visual representation of text highlighting probability scores at the sentence level.
Algorithms specifically trained to detect patterns left by AI rewriters like Quillbot or StealthWriter.
Identifies the specific LLM architecture likely used (e.g., '90% probability GPT-4o').
Raw data output of the statistical metrics used to determine content entropy.
Scans an entire sitemap to detect AI-generated content across a domain.
Cross-references facts and citations in the text against live databases to detect 'hallucinated' sources.
Uses optical character recognition to analyze text from images or scanned physical documents.
Create a secure account via SpellChecker.com with OAuth or email verification.
Choose the 'AI Detector' module from the primary dashboard sidebar.
For web-based testing, paste the target text into the 2048-token buffer window.
For bulk analysis, upload files in .pdf or .docx format via the secure drag-and-drop interface.
Configure sensitivity thresholds (Conservative, Balanced, or Aggressive) in the analysis settings.
Trigger the 'Deep Scan' engine to initiate neural network processing.
Review the Heatmap Overlay identifying specific AI-generated sentence clusters.
Export the 'Certificate of Authenticity' report for external verification needs.
(Developers) Generate an API Key from the 'Integrations' tab for headless implementation.
Integrate the Chrome Extension for real-time detection across CMS platforms like WordPress.
All Set
Ready to go
Verified feedback from other users.
"Users praise the tool for its low false-positive rate compared to competitors and the clarity of its probability heatmaps, though some find the free tier limits restrictive for professional use."
Post questions, share tips, and help other users.
Enterprise-grade AI attribution and linguistic pattern mapping for SEO-optimized content.
Forensic-grade linguistic analysis to distinguish human authorship from synthetic AI generation.
Forensic linguistic analysis for high-fidelity synthetic text identification and semantic fingerprinting.
Enterprise-grade semantic analysis to distinguish human creativity from machine generation with 99.1% precision.
Professional-grade linguistic analysis to distinguish between human-authored and LLM-generated content with high-granularity scoring.
Advanced linguistic analysis to ensure content authenticity and search engine compliance.
