Apps Like Duplicate File Hunter for iPhone and iPad
Duplicate File Hunter screenshots
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.
Smart Cleaner-Ai Cleaner
TINY BOLT (HK) CO., LIMITED
Clean storage, manage files, boost speed
AI-powered automatically detects and removes junk files, duplicates, and unnecessary data. Cleans photos and videos by deleting low-quality or redundant files. Manages storage space and optimizes device performance.
AI Cleaner - GuruZen
嘉欣 黎
Clean device storage with AI analysis
AI-powered storage identifies and removes unnecessary files, duplicates, and similar content. Users can scan device storage, categorize files, and delete selected items. The also suggests optimized storage solutions and provides usage statistics.
My File Explorer
GLOBILE BILISIM BILGISAYAR HIZMETLERI ILETISIM DANISMANLIK SANAYI TICARET LIMITED SIRKETI
Store files, view documents, transfer photos
Store, view, and manage documents on iPhone, iPad, or iPod Touch. Access photo library from PC or Mac via Wi-Fi for batch downloads. Upload photos from PC to device via Wi-Fi. Transfer files between devices without needing iTunes.
Swift Cleaner-Clean Up Storage
丽丽 张
Group similar media, delete duplicates, free space
Organizes similar photos and videos into groups. Identifies images automatically. Deletes duplicates and frees up . Scans large photo libraries quickly. Allows manual selection of files to delete.
Spam Cleaner: Super Protection
丹丹 李
Scan photos, delete duplicates
Scan for similar or exact duplicate photos to free up storage. Delete identified duplicates manually or automatically. Remove unwanted ads from web pages while browsing. Block ad networks and prevent intrusive pop-ups.
Photo Cleaner, Cleanup Storage
Poster App LLP
Clear photos, free up space, optimize
Scan and delete duplicate, blurry, or unwanted photos and videos. Compress large files to free up space. Merge duplicate contacts. Optimize and improve device performance with one-tap cleaning actions.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.