How can I reduce the app size after integrating the RTC Native SDK?

This article describes how to reduce the app size after integrating the RTC Native SDK.

Solution 1: Use the Audio SDK

The Video SDK supports both audio and video functions, so the package size is larger. If you only need to use the audio functions, Agora recommends integrating the Audio SDK.

Solution 2: Remove unnecessary extension libraries

The SDK provides extension libraries that can be optionally integrated into the project. The name of extension libraries is suffixed with Extension. For details, see Extension libraries.

If you do not need the extension functions, you can directly remove the corresponding extension libraries to reduce the app size.

Deep-learning noise reduction library

The SDK enables traditional noise reduction by default to reduce most of the stationary background noise. Deep-learning noise reduction adds non-stationary background noise reduction based on the traditional noise reduction. After integrating the deep-learning noise reduction library, you can call enableDeepLearningDenoise to enable the deep-learning noise reduction. See v3.3.0 Release Notes.

The following table shows the extension library name for each platform and the increase in the app size after integration.

AV1 library (beta feature)

The AV1 function improves the clarity of texts when users share the screen. To use this function, contact support@agora.io.

The following table shows the extension library name for each platform and the increase in the app size after integration.

JND library (beta feature)

The JND (Just-noticeable difference) function is used for video perceptual coding, which reduces bandwidth consumption while keeping the same image quality. For example, this function can improve video smoothness in bandwidth-constrained scenarios, and reduce network traffic consumption in mobile network scenarios. To use this function, contact support@agora.io.

The following table shows the extension library name for each platform and the increase in the app size after integration.

Virtual background library (beta feature)

After integrating the virtual background library, you can call enableVirtualBackground to enable the virtual background. See v3.5.0 Release Notes.

The following table shows the extension library name for each platform and the increase in the app size after integration.

ROI library (beta feature）

The ROI (Region of Interest) function is applied to the face or virtual background segmentation algorithm for face or portrait recognition. In the encoding process, higher quality encoding is used for the ROI to achieve a clearer face or portrait. To use this function, contact support@agora.io.

The following table shows the extension library name for each platform and the increase in the app size after integration.

Super resolution library (beta feature)

After integrating the super resolution library, you can call enableRemoteSuperResolution to enable super resolution. See v3.5.1 Release Notes.

The following table shows the extension library name for each platform and the increase in the app size after integration.

Image enhancement library

As of v3.6.0, ensure that you have integrated the image enhancement library before you call setBeautyEffectOptions to enable the image enhancement function. See v3.6.0 Release Notes.

The following table shows the extension library name for each platform and the increase in the app size after integration.