Apps Like Remove Duplicate Lines for iPhone and iPad
Remove Duplicate Lines screenshots
Ranked alternatives
Showing 221–240 of 1,000 ranked alternatives.
AI Clean Up: Storage Cleaner
Shlag LLC
Up photos and videos with AI
Analyzes photos and videos to identify duplicates, blurry images, and large files. Users can delete unwanted content with one tap. The helps free up space and improves device performance by removing clutter while preserving important memories.
Phone Cleaner: Smart Clean App
Nguyen Thuy Linh
Device storage and manage data
Offers one-touch system scanning to delete junk, cache, and temporary files. Manage personal data and optimize storage space. and organize files with sorting and deletion options.
Simplify Sweep：Photo Organizer
HUIDING HONG KONG TECHNOLOGY LIMITED
Organize files, delete duplicates, test speed
Organize files with smart photo detection to remove duplicates. Delete large video files automatically. Test internet speed with a single tap. Features include a simple interface, fast performance, and no data uploads for privacy.
Attendium: Guest list app
Attendium AB
Manage guests and check in from any
Manage and check in guests from any device. Search and filter guests by name, , or custom fields. Sync across all devices and check in guests offline. Import guests via Excel, text files, or copy/paste.
NapBooster
Sorted Communications Ltd
Wake up with a smart alarm
AI-powered alarm adapts to sleep patterns for timed wake-ups. Set reminders for nap cycles and schedule power naps. Clean up phone storage by removing duplicate media files. Organize device space with one-tap cleanup actions.
Alpha Cleaner: Phone Cleanup
NUTEL ILETISIM TEKNOLOJILERI VE MEDIKAL URUNLERI ITHALAT IHRACAT SANAYI TICARET LIMITED SIRKETI
Duplicate Contact Cleaner Ⓞ
RV AppStudios LLC
Scan, merge, and remove duplicates
Clean contacts by scanning and merging entries. Remove unwanted duplicates, sync contacts across devices, transfer, restore, and recover lost contacts with simple taps.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.