The latest update is already available for iOS, Android, and Web. Unity and Desktop are coming soon. As usual, there are also bugfixes and technical improvements “under the hood.”
Improved rendering for headwear and rings
The developers have thoroughly improved several aspects of the image rendering:
- Lighting interaction
- Opacity
- Shadows
- Color correction
- Specularity
- Etc.
As a result, the virtual items look more natural.
Transmissive materials in GLTF files
Transmissive materials process lighting interactions like transparency and subsurface scattering. Face AR SDK now supports them.
Earlobe detection
In the previous versions, we have fitted the virtual earrings according to the mesh based on the entire face. Now we detect ears separately for more precision.
Skin smoothing & facial feature editing in Unity
The realistic skin smoothing effect is coming to Unity. It removes skin imperfections while preserving the natural texture.
Facial feature editing (face morphing) is changing the size and shape of various elements of the face. It will soon be available for Unity, with convenient sliders for each of the parameters (distance between eyebrows, eye size, chin length, etc.).
New effects player API
We have released a more convenient effects player API for iOS, Android, and Web. It’s is easier to work with, and it contains far more options.
The old API will still be supported for some time, but is considered deprecated.
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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.