RAID is the largest and most challenging benchmark for AI-generated text detection. (ACL 2024)
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Updated
Oct 21, 2026 - Python
RAID is the largest and most challenging benchmark for AI-generated text detection. (ACL 2024)
An awesome list of the best AI content detectors.
[AAAI 2024] The official repository for our paper, "OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples"
A lightweight Chromium extension that transparently strips out hidden watermark markers from ChatGPT outputs before they ever reach your clipboard.
A curated list of awesome AI countermeasures - tools, models, datasets and research for detecting AI-generated content, from LLM-written text to deepfake images, video and audio.
Live crowdsourced research platform measuring how well humans detect AI-generated news - dual-axis authenticity judgments, gamified challenge mode & shareable score cards. The human-perception half of the RogueGPT pipeline.
MGTEval, an interactive platform for systematic evaluation of ai-generated text detectors, supporting 25+ detectors including DetectGPT, Fast-DetectGPT, Binoculars, and more.
Linter for AI-writing tells in commit messages, PR descriptions and docs. It does not guess who wrote it. It shows the tells.
Claude Code plugin for scientific paper writing, source-traced review, and de-AI rewriting. 12 skills + 35 tools under one typed standard: non-waivable integrity blockers, zero-target L0 lexicon, ranked advisories, and explicit measurement states so missing calibration never reads as clean. Corpus-calibrated for ApJ/MNRAS/PRD/JCAP manuscripts.
[EMNLP 2024] The official repository for our paper, "How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection"
ChatGPT-generated texts for automated ChatGPT detection
Два скилла для работы с русским текстом: проверка на следы ИИ и письмо с нуля
HSE bachelor's thesis on detecting machine-generated text via semantic trajectories, graph features and classification.
A jury of AI-text detectors. Open workbench: run Stylometry, LLM-Perplexity, Fast-DetectGPT, Binoculars, BYOM classifiers and your own plugins side by side - every raw score shown with its direction, honest calibration on your own data. BYOK, runs locally, MIT.
chaff: a prose linter for English and Japanese that finds what makes writing hard to read and never rewrites it. Runs as a CLI or as a Claude Code skill. Also scoria, a code quality assay for TypeScript.
Local-first toolkit for detecting AI-generated text and disrupting classical detectors plus statistical LLM watermarks (SynthID-Text / tournament-sampling style).
Remove AI watermarks, invisible Unicode, and C2PA/EXIF/XMP provenance metadata from text and files (PDF, DOCX, ODT, PNG, JPEG, SVG, HTML, Markdown). Python, no dependencies for text cleaning." This is slightly updated from before to reflect the new DOCX/ODT/PDF support
Linda - local AI-text detector for English, Russian and Polish: Linda Assay (full ensemble) and Linda Loupe (fast, CPU). Windows app, CLI, models on Hugging Face.
Toxicity evaluation on DeepSeek R1 and DeepSeek API
Python 3.14 library + CLI that sends a text, unchanged, to existing AI-text detector APIs (GPTZero, Pangram, Sapling, Copyleaks, Winston, Originality, Hive, ZeroGPT) and combines their answers into a transparent HUMAN / AI / NO_VERDICT verdict with per-provider evidence. No own detector; an indicator, not proof. GPLv3.
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