London Design Gold

2025

ZipZap: From Prompts to Sliders

Entrant Company

Jaehyeok Lee, Hyunju Lee

Category

User Experience Design (UX) - Best Use of AI & Machine Learning

Client's Name

ZipZap.dev

Country / Region

United States

“ZipZap redefines how humans edit AI-generated images.”



ZipZap is a tech startup developing an AI image generation platform that transforms image editing from an act of 'describing' into one of 'direct manipulation'. By combining a visual interface with the traditionally prompt-driven approach to AI image generation, ZipZap redefines the way users interact with and refine AI-generated images. Complex edits that once required repeated textual instructions are translated into intuitive, slider-based controls, significantly streamlining workflows that demand iterative refinement and fundamentally improving the user experience.



Conventional AI image generation platforms rely heavily on natural language prompts when refining details after an initial image is created. As a result, users are often forced to repeat similar instructions, frequently compromising the original visual context and reducing overall efficiency. This language-centric mode of interaction has also created a high barrier to entry for non-expert users, limiting broader access to advanced AI image generation technologies.



To address these limitations, ZipZap generates an initial image from a user’s natural language prompt, then automatically identifies the key components within the image and produces customized sliders that allow each element to be adjusted. Attributes such as an object’s color and texture, weather and environmental conditions, or a subject’s expression and mood are translated into controllable parameters—such as brightness, roughness, or intensity. Without rewriting prompts or regenerating images from scratch, users can refine images non-destructively through direct visual manipulation. In doing so, ZipZap redefines image editing as an interaction centered on visual control rather than text input.



Powered by proprietary semantic segmentation and LLM-based technologies, ZipZap delivers tangible value to both professionals and non-experts. Creative professionals benefit from a streamlined image generation process that minimizes repetitive work and significantly improves efficiency, while non-expert users gain access to powerful AI image tools through a low learning curve and an intuitive interface. Ultimately, by reimagining the interface of AI image editing, ZipZap aims to realize true design democratization—opening advanced design and AI tools to a wider audience beyond a small group of specialists.

Credits

Freelancer
Jaehyeok Lee
Freelancer
Hyunju Lee
More Gold Winners
UI Design
2025
London Design Awards - Pice

Entrant Company

Carla Pan Design Studio

Category

User Interface Design (UI) - Health / Fitness / Wellness

Conceptual
2025
London Design Awards - Concept Design for a Chinese Historical Film Series

Entrant Company

LVAO

Category

Conceptual Design - Film and Television Art Direction & Set Design

Interior
2025
London Design Awards - Ebb and Flow
Farglory Group

Entrant Company

Arch Interior Design

Category

Interior Design - Showroom / Exhibit

Packaging
2025
London Design Awards - Pop Open Taiwan, Sip the World

Entrant Company

KUN SHAN UNIVERSITY

Category

Packaging Design - Wine, Beer & Liquor