AI Clothes Changer API vs Banuba Face AR SDK

AI Clothes Changer API creates virtual outfit changes by mapping clothing onto a user or model photo and adapting the result to body shape, proportions, and lighting. It renders fabric behavior such as folds, drapes, and texture, with supported categories including outerwear, dresses, tops, bottoms, swimwear, lingerie, shoes, bags, scarves, hats, and accessories. Inputs are JPG or PNG images up to 10 MB; user photos may be full-body, half-body, or selfie-style, while garment images may show a person or a product alone. The API returns a try-on image URL and result ID. Developers connect through REST using standard HTTP methods, JSON payloads, and Bearer authentication. Listed examples or support include JavaScript, Java, Flutter, Python, PHP, Node.js, and cURL. Integration channels include websites, iOS and Android apps, in-store kiosks or mirrors, backend systems, and custom interfaces. The paid service starts at $24/mo, has no free plan, and offers 40 free trial units. Its listed monthly try-on limit is 250 /mo.

Banuba Face AR SDK provides real-time face tracking and augmented-reality effects, including virtual makeup rendering. Makeup options include lipstick, eyeshadow, blush, foundation, contouring, highlighter, and hair color; developers can combine effects with prefabs. The listed product types also cover skincare, hair dye, eyeglasses, and jewelry. The SDK and API support live-camera input, with integration options for Android, iOS, Flutter, React Native, web, Unity, and desktop. Banuba states that the makeup SDK can run at up to 60 FPS on mid-range mobile hardware and track head angles from −80° to +80°. It says processing is performed on the user's device and user data is not collected or stored; selected features support offline use. Banuba Studio can be used to create filters or adapt and adjust makeup made in other 3D software. Pricing is on request, with a 14-day trial and no free plan. The company is headquartered in Hong Kong.