Unity
AR Face Filter For iOS Platform
$29
Rated 0.0/5 from 1 ratings on Unity.
Price history
Recorded standalone sale prices and the latest available store price, in USD. Historical dots use the sale start date and its recorded offer price. Prices can change during a sale; this is not a daily price log. Bundle prices and upcoming offers are excluded. History covers up to the 100 most recent recorded offers.
Lowest recorded standalone price in this history: $29. The latest store price is $29, matching the lowest recorded price shown here.
View 1 recorded price
| Sale start / price check | Price | Observation |
|---|---|---|
| $29 | Latest store price |
About AR Face Filter For iOS Platform
AR Face Filter Template – Professional Augmented Reality Face Filter Integration
Take your AR applications to the next level with the AR Face Filter Template, a comprehensive and professionally developed AR solution built on top of the native DeepAR iOS SDK. This template is specifically designed for AR developers who want to add cutting-edge AR features like face filters, background and hair segmentation, virtual makeup, and more — with minimal effort and maximum flexibility.
Whether you're building entertainment apps, social platforms, or games, this template is your plug-and-play gateway to immersive augmented reality experiences. It comes preloaded with 19 high-quality face filters, supports real-time camera feed processing, and includes essential UX features like screenshot capture, video recording, camera toggling, and a scrollable filter selector UI. The project is optimized for rapid development with clean code architecture and full support for UI and filter customization.
Key Features
Diverse Filter Support: Includes face filters, virtual sunglasses, makeup effects, hair & background segmentation, and face-tracking based game filters.
Custom UI Ready: Comes with a built-in filter slider and clean UI, fully customizable to match your branding or app style.
Camera Interactions: Switch between front and rear camera, take screenshots, and record videos natively.
19 Demo Filters: Quickly start your AR project with 19 preloaded filters in the StreamingAssets folder.
FilterController Script: Centralized logic to manage all filter interactions, allowing easy extension and integration.
StreamingAssets & Native Plugin Setup: Easy-to-follow setup process with full documentation and visual references.
Tested on iOS: Optimized for iOS builds.
Take your AR applications to the next level with the AR Face Filter Template, a comprehensive and professionally developed AR solution built on top of the native DeepAR iOS SDK. This template is specifically designed for AR developers who want to add cutting-edge AR features like face filters, background and hair segmentation, virtual makeup, and more — with minimal effort and maximum flexibility.
Whether you're building entertainment apps, social platforms, or games, this template is your plug-and-play gateway to immersive augmented reality experiences. It comes preloaded with 19 high-quality face filters, supports real-time camera feed processing, and includes essential UX features like screenshot capture, video recording, camera toggling, and a scrollable filter selector UI. The project is optimized for rapid development with clean code architecture and full support for UI and filter customization.
Key Features
Diverse Filter Support: Includes face filters, virtual sunglasses, makeup effects, hair & background segmentation, and face-tracking based game filters.
Custom UI Ready: Comes with a built-in filter slider and clean UI, fully customizable to match your branding or app style.
Camera Interactions: Switch between front and rear camera, take screenshots, and record videos natively.
19 Demo Filters: Quickly start your AR project with 19 preloaded filters in the StreamingAssets folder.
FilterController Script: Centralized logic to manage all filter interactions, allowing easy extension and integration.
StreamingAssets & Native Plugin Setup: Easy-to-follow setup process with full documentation and visual references.
Tested on iOS: Optimized for iOS builds.