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Smart Cleaner - Pro Security

Smart Cleaner - Pro Security

海英 李

Utilities免费v1.0.27
App Store
评分

4.6

2,447 条评分

星级

★★★★★

最近更新

2026年2月4日

发布日期

2025年5月16日

更新内容

v1.0.27

bug fix

应用信息

开发者
海英 李
分类
Utilities
价格
免费
版本
1.0.27
App ID
6745728288

简介

Tired of a sluggish phone and cluttered storage? Smart Cleaner - Pro Security is your all-in-one solution to reclaim space, optimize performance, and Helps protect your sensitive data — all with just a few taps. 1. Key Features: Deep Clean & Storage Optimization - One-Tap Cleanup: Automatically scans junk files, app caches, and residual data to free up significant storage space. - Photo & Video Manager: Sort media by date or category, swipe to delete duplicates and blurry shots, and organize your gallery with ease. - Email Cleaner: Bulk-remove outdated email attachments to speed up your inbox and reduce clutter. 2. Advanced Local Privacy - Secure Vault: Hide sensitive photos, videos, and contacts using AES-256 encryption with biometric access (Face ID / Touch ID). - Social Media Traces Cleaner: Remove cached browsing data and temporary files from social apps like Instagram, TikTok, and WhatsApp. 3. Performance Boost & Battery Saver - Reduce background activity and optimize battery usage with Smart Saver Mode. - Storage Usage Overview: Review storage usage and find large or rarely used files for easy cleanup. 4. Why Choose Smart Cleaner - Pro Security - Lightweight and powerful — designed to optimize your device without slowing it down - Your privacy matters — sensitive content stays protected with local encryption - Clean and easy-to-use interface — switch between Basic and Pro modes based on your needs Get Smart Cleaner - Pro Security today and enjoy a faster, safer, and clutter-free device. Privacy Policy: https://sites.google.com/view/smartt-cleaner-privacy-policy Terms of Use: https://sites.google.com/view/smart-cleaner-terms-of-use.

下载量预测

专业 · 预览

预估总下载量

245K163K489K
保守估计乐观估计

14K

低 / 月

20K

预估 / 月

41K

高 / 月

基于2,447 条评分
假设评分率1.0%
应用年龄12 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。