A free detector capable of identifying content generated by all advanced AI models.
BERT-based AI-generated academic text detection model
Skill для AI-агентов (Claude Code, Codex, OpenClaw, Hermes): убирает 37 признаков AI-генерации из русского текста и проверяет, писала ли его нейросеть - канцелярит, штампы ChatGPT, артефакты копипаста | Russian AI-text humanizer & detector skill for coding agents
[NeurIPS 2024] DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning
In today's rapidly evolving landscape, vale-ai-tells is a comprehensive, cutting-edge Vale style package that empowers writers to seamlessly delve into the rich tapestry of AI tells. It's not just a rule set; it's a game-changer that supercharges your prose, unlocks new possibilities, and really lands. Ship cleaner prose. Full stop. 🚀
🔍 Detect AI-generated text and fingerprint which LLM wrote it. Open-source GPTZero alternative. Zero dependencies, works offline.
Uncertainty-gated two-stage AI-text detection with fast DTD routing and cross-family MS-LRC evidence. Sole-author submission to UncertaiNLP 2026 @ EMNLP.
[NeurIPS 2025] DETree: DEtecting Human-AI Collaborative Texts via Tree-Structured Hierarchical Representation Learning
Strip AI writing patterns from any text. Claude Code skill with 507-entry banned word list, structural pattern detection, and 12-check validation.
A simple web app that can be used to detect AI-generated text in the Indonesian language, using various AI models such as LSTM, GRU, Bi-LSTM, Bi-GRU, and IndoBERT
Open-source AI text detector — VirusTotal for AI slop. 23 engines, self-hosted, runs on CPU. Scan text or URLs locally.
Clean the AI out of text and detect AI slop - bilingual (EN+RU) Claude skill. Rewrites AI cliches into natural prose, rates AI-likeness, and tells decorative AI emoji from genuine human emoji.
Transparent, explainable, local AI-generated-text detector: multi-signal (NLTK, GPT-2 perplexity, Binoculars cross-perplexity, calibrated ensemble) with a real evaluation harness — verdict, confidence, per-signal metrics, and reasoning, not one opaque score.
AI Text Detection A machine learning-based system to differentiate AI-generated text from human-written content. Uses models like TF-IDF, BERT, Random Forest, and Neural Networks, with an ensemble approach for improved accuracy.
Automatic detection of AI-generated text using NLP and machine learning
Explainability-based token replacement on LLM-generated text (arXiv:2506.04050)
Turn machine-sounding Russian into living prose. Removes bureaucratese, translationese and AI clichés — while preserving meaning, terms and the author's voice. Grounded in the Russian editorial tradition (Gal, Chukovsky, Rosenthal). Authenticity, not detector evasion.
Machine and Deep Learning Classification Web Application with Streamlit
Polish/English AI-text detector (ModernBERT MELD/TMR/RAID ensemble + fast stdlib heuristic, operating-point calibrated) plus personal_style_pl: Polish personal writing-style similarity with interpretable, abstain-on-OOD AI-leaning markers.
Stress-testing AI-text detectors: Binoculars (zero-shot) vs TF-IDF/CNN/RoBERTa on 9,458 TuringBench human texts paired with Llama-2 generations, under decoding shifts and paraphrase attacks
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