
AI Slop Index is a web-based tool designed to evaluate the quality and originality of text content by assigning a "slop" score ranging from 0 to 100. The score reflects the degree to which the analyzed text exhibits characteristics associated with formulaic, generic, or potentially AI-generated writing. Users can paste text directly or fetch content from a URL to begin analysis.
The platform provides a detailed breakdown of its scoring, categorizing results into bands such as "Clean," "Meh," "Canned," and "Oatmeal," each indicating increasing levels of sloppiness or lack of specificity. A low score (0–29) suggests the text is likely human-written and specific, while higher scores indicate issues like template fingerprints, lack of proper nouns, missing citations, or overuse of boilerplate structures. The tool highlights particular weaknesses, such as the absence of external citations, reliance on generalizations like "studies show," or the presence of listicle scaffolds, and provides targeted feedback for improvement.
AI Slop Index incorporates features like tooltips explaining each signal, lazy rendering for performance, and the ability to copy summary results. It is positioned as an analytical instrument for those who wish to refine their writing by identifying and addressing vague or repetitive patterns before publication. The tool is delivered through a web interface and does not mention any specific pricing, licensing, or integration details.
This platform is intended for anyone seeking to assess and improve the specificity and credibility of their written content, particularly in contexts where originality and clarity are valued.
AI Slop Index is a LLM eval & observability product. It focuses on identifying and quantifying AI-generated or low-quality text to help users improve content authenticity and readability. It is built as a consumer product for content creators. AI Slop Index costs nothing to use. It runs on the web, the command line, Windows, macOS, and Linux.
Behind AI Slop Index is VibeAxis, and the product first shipped in 2024. Key capabilities include text analysis, AI detection, and quality scoring.
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