HairOn
CASE STUDYThe leading hair color and style try-on app. Integrated Global Snap's single POST API to deliver photorealistic transformations at scale.
Read full case study →
GLOBALSNAP AI
Global Snap provides API access for hair try-on, beard styling, makeup previews, and image-editing transformations. Apps send an image, choose a transform, and receive a production-ready visual result.
Built for consumer apps, beauty tools, salon platforms, e-commerce experiences, and AI products that need realistic visual transformations without building, hosting, and scaling the model stack themselves.
# Create a visual transformation jobcurl https://api.your-domain.com/v1/try-on \-H "Authorization: Bearer $GLOBALSNAP_API_KEY" \-H "Content-Type: application/json" \-d '{"image": "data:image/jpeg;base64,...","transform": "hair_color","style": "warm_balayage","webhook": "https://yourapp.com/webhooks/global-snap"}'
Apps send a source portrait and receive a clean generated output. This example shows the kind of before/after experience GlobalSnap AI can power inside beauty apps, grooming apps, e-commerce flows, and image-editing products.
Global Snap is not just a demo generator. It is a production API layer for apps that want visual transformation features: hair color preview, hairstyle changes, beard generation, makeup simulation, editorial looks, and image-editing workflows.
Your product calls a clean REST API. Global Snap handles inference, GPU serving, presets, output delivery, webhooks, and future model upgrades. That lets your team ship visual AI features faster without maintaining the whole ML infrastructure.
Global Snap is already running in production inside consumer apps with hundreds of thousands of users.
The leading hair color and style try-on app. Integrated Global Snap's single POST API to deliver photorealistic transformations at scale.
Read full case study →Popular men's grooming app. Uses Global Snap to power realistic beard styling, hair transformations, and image-editing features.
Read full case study →Creative image-editing workflows using the same Global Snap API layer for fast transformations, previews, and generated output.
Five production-ready transformation families exposed through one clean API surface. Each card shows a real before/after example that can be used inside consumer apps, salons, e-commerce flows, or image-editing products.
Global Snap is positioned for production AI workloads: CUDA-accelerated image models, queue-based inference, webhook delivery, and model presets that can serve multiple apps from the same API surface.
NVIDIA Inception application note: say “GPU-accelerated infrastructure” now. Do not claim official NVIDIA partnership until acceptance.
Generic image-editing models commonly sit around $0.025–$0.04 per output image. Global Snap is positioned around half of that for try-on and recurring app workflows.
| Provider / model | Published price | Global Snap position |
|---|---|---|
| Replicate — Nano Banana | $0.039 / output image | Starter at $0.019 / generation |
| Replicate — FLUX.1 Kontext Pro | $0.040 / output image | About half for standard try-on flows |
| Replicate — FLUX.1 Kontext Dev | $0.025 / output image | Growth from $0.012 / generation |
| Other image-editing models | Often $0.03+ / image | Volume pricing for production apps |
Add hair color, hairstyle, makeup, and beauty previews directly inside consumer apps.
Let customers preview cuts, colors, beard styles, and styling ideas before appointments.
Add realistic editing workflows without building GPU infrastructure or model pipelines internally.