L'oreal, e.l.f. Cosmetics, Farfetch, and Wacoal are among the world-leading brands that have adopted augmented reality technologies to empower their digital products with never-seen-before virtual try-on experiences. This helped boost user-generated content, drive organic promotion channels, skyrocket sales, and grow revenues.
Still, many brands still wonder if beauty and makeup virtual try-on capabilities are investment-worthy and viable. The core risk driver is a pricey and long-run initiative that requires up to $200,000 and 12 months of custom app development. Here comes a makeup API that enables top-tier companies to speed up the go-to-market process and avoid spending fortunes on tailor-made app development.
If this resonates with your current business needs, this post will help you figure out how a makeup API can help accelerate the time-to-market period and save tons of time and investments to launch a customer-oriented virtual try-on application that users will enjoy.
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The official technical documentation for Banuba Face AR SDK is available online and includes requirements, setup instructions, and configuration details:
- Banuba Face AR SDK iOS documentation
- Banuba Face AR SDK Android documentation
- Banuba Face AR SDK Flutter documentation
- Banuba Face AR SDK React Native documentation
- Banuba Face AR SDK Web documentation
- Banuba Face AR SDK Unity documentation
- Banuba Face AR SDK Desktop documentation
This Banuba Face AR SDK documentation should be your primary reference during integration.
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You can access official integration code samples for the Banuba Face AR SDK on GitHub. Banuba provides platform-specific examples to help you integrate faster:
- Banuba Face AR SDK iOS integration code sample
- Banuba Face AR SDK Android integration code sample
- Banuba Face AR SDK Flutter integration code sample
- Banuba Face AR SDK React Native integration code sample
- Banuba Face AR SDK Desktop integration code sample
- Banuba Face AR SDK Web integration code sample
- Banuba Face AR SDK Unity integration code sample
These Banuba Face AR SDK repositories include setup instructions and minimal working examples for quick deployment.
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Yes. The Banuba Face AR SDK includes an LLM-friendly documentation file designed for AI-assisted development and internal knowledge systems:
This structured Banuba Face AR SDK text file can be used with AI tools to streamline onboarding and developer workflows.
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The Banuba Face AR SDK provides official cross-platform plugins to simplify integration into hybrid applications:
These Banuba Face AR SDK plugins are maintained by Banuba and support faster implementation for cross-platform apps.


