Home AI Hacker News fbuchinger/smellcheck: Identify AI/LLM Anomalies in Texts on GitHub

fbuchinger/smellcheck: Identify AI/LLM Anomalies in Texts on GitHub

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Introducing Smellcheck: Your AI-Text Fingerprinting Tool

In an age where AI-generated text is prevalent, ensuring the authenticity of submissions is vital. Smellcheck is your go-to solution for detecting suspicious AI fingerprints in user-generated content—fast, offline, and without machine learning.

Key Features:

  • Static Analysis: No latency or API costs. Analyzes text efficiently.
  • AI Patterns: Identifies:
    • Unusual punctuation marks (e.g., em dashes, ellipses)
    • Overused buzzwords and clichés
    • Formal vocabulary rarely used by humans

Important Consideration:

  • Results as Signals: A flagged text doesn’t confirm AI authorship; it necessitates human review.

Join the alpha phase! Try the live demo today and help shape the future of text authenticity analysis.

🔗 Call to Action: Share your thoughts on AI detection! Comment below or tag someone who might benefit from this innovative tool! 🌟

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