Apps Like Object Remover LK for iPhone and iPad
Ranked alternatives
Showing 361–380 of 1,000 ranked alternatives.


DsignIt
Julien Brami
Edit images with text prompts
Edit photos by describing desired changes, additions, or removals. Remove objects or people seamlessly. Enhance lighting and mood with cinematic, dramatic, soft, or warm settings. Adjust colors and apply filters. Save or share the final edited image.

Imagy: AI Art Image Generator
YAYSOFT UYGULAMA GELISTIRME YAZILIM HIZMETLERI LIMITED SIRKETI

Pictrix: AI Photo Editor
HELIKANON YAZILIM VE BILISIM TEKNOLOJILERI SANAYI TICARET LIMITED SIRKETI






Face Swap: AI Photo Editor
Bigoen Bilisim Teknolojileri Anonim Sirketi
Swap faces in photos with AI precision
Edit photos with using AI technology. Replace faces between images for realistic results. Create videos and GIFs with animated swaps. Swap faces with celebrities or other photos. Share edited content directly.


Photo Eraser for iPhone
etinysoft Inc.
Remove objects from photos instantly
The app removes unwanted objects from photos, including logos, text, and people. It uses an InPaint algorithm to fix photos, making them appear as if the objects were never there.


Background Remover AI
Aleksei Khaliapin
Remove and add white to images
Remove backgrounds from images using AI technology. Adjust and replace backgrounds with white or custom colors. Export edited images in various formats. Share directly from the .

PhotoPea - AI Photo Editor
Pooja Ranka
Edit photos with AI-powered tools
Edit photos with AI-powered tools, object removal, and background changes. Apply artistic styles and one-tap enhancements. Export edited images in multiple formats and share directly.



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.