#NATVA2025 CATEGORIES 💫

Not sure which category to enter? Explore your options below and find the perfect fit to showcase your hairstyling talent!

TRANSFORMATION CATEGORIES

The six (6) Transformation Categories are broken out by the following:

Push the boundaries of haircutting with a transformative style that redefines movement and dimension. Whether it’s bold lines or seamless layers, your cut should evoke the structured yet natural interplay of digital and organic design. Let your work be a statement of how cutting techniques evolve in a tech-driven era.
Bring the Digital Prism palette to life by creating a color look that transforms hair into a work of art. From iridescent obsidian tones with flickers of violet and teal to barely-there neutrals like muted pearl and cool taupe, your submission should explore the contrast and harmony between dark drama and soft elegance.
Craft a hairstyle that tells the story of fluid transformation, capturing the essence of flowing data streams and holographic motion. Think sleek yet voluminous, structured yet adaptable—styles that redefine individuality while reflecting the evolution of modern beauty.

The six (6) Editorial Categories are broken out by the following:

Submit an editorial haircut that combines precision with experimentation. Your look should challenge traditional aesthetics, embodying sharp structures or fluid shapes inspired by the sleek, hyper-dimensional qualities of holographic interfaces.
Present an editorial color look that reflects the dramatic contrast of Digital Prism’s palette. Think deep obsidian tones accented with glitch-like flickers of violet, teal, or chrome, paired with soft neutrals like muted pearl and cool taupe. Your creation should feel bold, modern, and designed to shine under the editorial spotlight.
Elevate your editorial style submission by crafting a look that merges avant-garde creativity with AI-inspired precision. From gravity-defying designs to sleek and sculptural forms, your style should embody the seamless blend of human artistry and machine-driven evolution.