Mock Text for Design Systems
Better Mock Text for Design Systems
Using mock text for design systems means working with text that tells you nothing about how real content will look. Claude Ipsum generates AI-powered simulated text for design evaluation for design systems — contextual copy that actually tests your component library documentation.
1 min read
The Problem With Mock Text for Design Systems
Mock Text is everywhere for design systems. It's the default — fill text layers with Latin gibberish and move on. But this approach hides critical problems in your component library documentation.
Real content has variable lengths, specific vocabulary, and tone. Generic mock text simulates none of this.How AI Improves Mock Text for Design Systems
Content That Matches Your Industry
Working on healthcare component library documentation? Get medical terminology. E-commerce? Product descriptions. SaaS? Dashboard metrics and feature copy. The mock text adapts to your project.
Realistic Length Variation
Real headlines, descriptions, and labels vary in length. AI-generated mock text reflects this variation, so your component library documentation get tested against actual content patterns.
Appropriate Tone
Generic mock text has no tone. AI-generated text matches the voice your component library documentation need — formal, casual, technical, or empathetic.
Better Mock Text for Design Systems With Claude Ipsum
Claude Ipsum generates AI-powered simulated text for design evaluation for component library documentation. Replace generic Latin text with contextual copy that reveals layout issues, impresses stakeholders, and prepares your designs for real content.