Version Information
- Version
- 3
- Release date
- Oct 2, 2026
- Size
- 115.5 MB
- Android
- 8.0+
- File type
- APK
- Package
- com.makeupeditor.makeup.camera.selfie.editor.beautycam
- Developer
- ENDLEZ APPS
About Beauty Selfie Plus AI Camera
Beauty Selfie Plus AI Camera is a photography app from developer ENDLEZ APPS that pairs a selfie camera with beauty focused editing tools in a single install. It is aimed at people who want to capture a portrait and then refine the result without jumping between separate utilities. The app is identified by the package name com.makeupeditor.makeup.camera.selfie.editor.beautycam. Place in the photography category As a photography entry, the app centres on the camera experience itself rather than acting only as a post-processing gallery utility. The name signals both the shooting side, selfie capture, and the enhancement side, beauty and makeup style treatment of the frame. That combination suits quick portrait sessions where the retouching is part of the same workflow as taking the picture. Storage before you install The download is a single package of 115.5 MB, so plan free space for the install file plus the additional room the app needs for cache, saved shots and edited output. On a device that is already tight on storage, clearing a comparable amount beforehand avoids a partial install. Photos you create remain on the device alongside the application itself. Current build information The latest build offered here is version 3, dated 2026-10-02. Because the version number is a simple whole number rather than a series of point releases, updating is straightforward: any earlier build simply yields to version 3 when you install the current package. Checking back periodically keeps the app aligned with what the developer publishes. Device compatibility and rating details The build requires Android 8.0 or newer, and newer devices that satisfy that baseline should run it without issue. The content rating for this listing is unknown, so parents and younger users should review the app themselves before use rather than relying on a published classification.