Comprehensive Virtual Makeup Integration
Support 13 beauty categories with a highly accurate engine. Precisely recreate exact shades, textures, and physical finishes to ensure a seamless bridge between your digital platform and physical inventory.

Blush

Concealer

Eye Liner

Eyebrows

Foundation

Lip Color

Skin Smoother

Bronzer

Contour

Eye Shadow

Eyelashes/Mascara

Highlight

Lip Liner
How to Use Beauty Filter API in 3 Steps
From photo to polished result in seconds, no manual editing required.

Send a selfie or live camera frame to the REST API along with your desired beauty filter parameters such as smoothing intensity and glow strength.

The engine processes skin smoothing, glow, and optional makeup layers in real time, adjusting automatically for lighting and skin tone.

Receive the processed image and JSON metadata back instantly, ready to display in your app or website.
What Is a Beauty Filter API
A Beauty Filter API lets developers add real-time AI skin smoothing, glow, and natural makeup effects to any photo or live camera feed with a single REST call.
- Smooths skin texture while keeping natural detail intact
- Adds a customizable glow and brightening effect
- Applies subtle makeup layers such as blush and lip tint
- Returns a processed image and JSON metadata in seconds

Real-Time AI Skin Smoothing and Glow
The API's Skin Smoother and glow controls run on deep learning models trained on over a decade of AI beauty research. Developers can dial in the exact strength of each effect through simple request parameters.
- Adjustable smoothing intensity from subtle to full coverage
- Customizable glow and highlight strength
- Works on selfies, and uploaded photos
- Preserves natural skin tone across a wide range of lighting conditions

Natural Makeup Enhancement Layer
Beyond skin retouching, the API layers in natural makeup effects such as blush, lip tint, and brow definition for a complete beauty filter look. Every effect renders with real-time AR so results track facial movement smoothly.
- Supports blush, lip color, and eyebrow tinting in one call
- Real-time AR rendering that tracks facial movement
- Color and intensity fully customizable per brand palette
- Designed for all ethnicities and age groups

Built for Every Skin Tone and Age
The Beauty Filter API is trained on deep learning models optimized for diverse skin tones, textures, and age groups so results look natural for every user, not just a narrow set of faces.
- Optimized across a wide range of skin tones and undertones
- Consistent, natural-looking results for different age groups
- Robust facial detection even in varied lighting and angles
- Quality tested across global user demographics

Enterprise-Grade Scale and Trust
Backed by hundreds of engineers and over a decade of AI and AR development, the Beauty Filter API is built to handle enterprise traffic with low latency and strong data privacy practices.
- Auto-scaling infrastructure built for high-traffic apps
- Uploaded photos are deleted afterwards
- Trusted by 800+ beauty and fashion brands worldwide
- Dedicated engineering team continuously refining AI accuracy

Expand Your Integration: Advanced Beauty APIs

Deliver dermatologist-verified skin assessments that analyze 14 skin concerns, pairing naturally with the Beauty Filter API for a full skincare and beautification experience.

Show customers accurate before-and-after visuals that project how their skin could look over time, ideal for pairing with real-time beauty filter results.

Add a camera-ready smile to any photo with intelligent image processing that instantly brightens teeth, a natural complement to any beauty filter effect.
Seamless RESTful Integration
Add the Beauty Filter API to any app or website with a standard RESTful architecture and clear JSON responses. No need to build or train your own AI model.
- Single API call handles detection, processing, and rendering
- Code snippets available in JavaScript, Python, PHP, Node.js, Flutter, and curl
- Swagger and OpenAPI documentation included
- Works on any major device across iOS, Android, and Web

