Photorealistic hair try-on, on every phone, in seconds.
HairOn needed realistic hair-color and hairstyle previews that users could trust before trying a new look. The team wanted consistent results across different portraits, lighting conditions, and hair types without building and scaling a custom GPU pipeline from scratch.
From model experiments to one production API.
Instead of maintaining multiple image models, prompts, queues, and result-delivery logic internally, HairOn integrated GlobalSnap AI as the transformation layer. The app sends a portrait and a selected style, while GlobalSnap handles inference, presets, queueing, and output delivery.
“GlobalSnap gave us the production layer we needed: realistic hair results, simple API calls, and enough consistency for real users.”— HairOn product team
A simple app-to-API workflow.
The HairOn app uploads or references a user portrait, selects a hair transformation such as color or hairstyle, creates a job through the GlobalSnap API, and displays the completed result when processing finishes. This keeps the mobile app lightweight while the heavy GPU work runs behind the API.
A smoother try-on experience at consumer-app scale.
HairOn can offer instant-feeling visual previews without owning the full AI infrastructure stack. The same API layer supports repeated experimentation with new looks, style presets, and future visual features.
Built to expand with the product.
Next, HairOn can expand deeper into personalized style presets, seasonal hair-color packs, and faster batch previews using the same API foundation.
Building a similar visual AI product?
Use GlobalSnap AI as the API layer for hair, beard, makeup, and image-editing transformations.