AI CleanUpper app icon

Apps Like AI CleanUpper for iPhone and iPad

Manage storage, clean photos, and organize emails

Manage storage by removing unused files and organizing photos. Clean inbox emails and merge duplicate contacts. Protect private files with encryption. Analyze device storage and identify removable data. Control file management with full transparency.

by Bloom Innovation, LLC★ 4.148 ratingsUtilitiesFreeData updated 2026-09-06

AI CleanUpper screenshots

Ranked alternatives

Showing 801–820 of 1,000 ranked alternatives.

  1. Cleaner Vision: Photo AI app icon

    Cleaner Vision: Photo AI

    Trevia Limited

    Scan, analyze, and clean photos and videos

    AI Summary provides an overview of total photos and videos. Users can analyze storage usage with visual charts. The organizes media files and identifies duplicates. It offers cleaning tools to delete unnecessary files.

    ★ 5.02 ratingsUtilitiesFreeData updated 2026-09-06
  2. DRMemory app icon

    DRMemory

    Kak-Kyu LEE

    Free up iPhone space locally.

    The app shows the user's iPhone memory usage with a live chart. Users can see what is taking up space and find duplicate photos, files, and contacts.

    ★ 4.01 ratingsUtilitiesFreeData updated 2026-10-07
  3. Contacts Cleaner Pro ! app icon

    Contacts Cleaner Pro !

    Emanuele Floris

    Find and merge duplicate contacts.

    The app finds duplicate contacts and merges them. Users can clean up their address book quickly and easily.

    ★ 3.45 ratingsNews$1.99Data updated 2026-10-16
  4. ContactClean - Address Book Cleanup & Repair app icon

    ContactClean - Address Book Cleanup & Repair

    Headlight Software, Inc.

    Combine contacts, remove duplicates, clean

    Organize contacts by removing duplicates and merging partial entries. Automatically detect and combine duplicates with same name and contact details. Manually edit contacts to correct errors or merge data.

    ★ 2.45 ratingsUtilitiesFreeData updated 2026-09-08

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.