Best static AI text humanizer. Two research-grounded skills that work in any LLM (Claude, ChatGPT, Gemini, Codex): humanize beats perplexity-based detectors, ai-check produces forensic scoring with evidence-quoted flags. Nine levers, 50+ peer-reviewed sources, 2024-2026 detection literature.

Claude Code skill that removes signs of AI-generated writing from text

The open specification for the Technical Evidence Package (TEP) format, the Authorship Evidence Constitution, and the LucidGrid Tool Registry.

Curated list of AI text humanizer tools, APIs, and resources. Compare pricing, features, and accuracy.

🔍 Detect AI content from ChatGPT, Claude, DeepSeek, Gemini with 85-95% accuracy. 100% local processing - no data collection. Free forever.

Verity — config-driven information scanner with three-layer AI content authenticity detection

A research implementation of statistical text watermarking for large language models using Plug and Play Language Models (PPLM). This system enables detectable watermark embedding through direct logit perturbation during inference without modifying the base model weights.

57 Apify actors for web scraping, lead generation, AI analysis. 869+ users.

Find LLM-generated text patterns in markdown, prose, and code comments. Free CLI. 70+ EN/PL patterns. MIT.

Website SEO audit tool — technical checks, E-E-A-T, Schema, GEO, Baidu & AI search readiness. Supports Google, Baidu, Xiaohongshu, WeChat.

Graduated-autopilot AI-content triage for Reddit mod queues — Devvit app with multi-signal scoring, verify-author appeals, and mod-collision prevention.

AuthentiScan (AI Content Detection) System is a software application that identifies whether text, images, or videos are AI-generated or human-made. It uses machine learning and pattern analysis to detect artificial content, helping reduce misinformation, deepfakes, and ensuring authenticity and trust in digital platforms.