Apps Like Pic Cut Out - Background Paste for iPhone and iPad
Cut out backgrounds and images
Remove backgrounds from images by drawing a closed curve. Automatically erase similar color areas for transparent results. Adjust brush size for precise edits. Pan, zoom, and rotate images.
Pic Cut Out - Background Paste screenshots
Ranked alternatives
Showing 581–600 of 1,000 ranked alternatives.


Photo Editor: Pixloom
Mahmoud Suliman
Edit photos, remove backgrounds, share
Edit photos with AI-powered tools for background removal and image enhancement. Adjust colors, brightness, and contrast. Add text, stickers, and filters. Export in various formats and share directly.



Background Eraser & Changer
Kevin Ghori
Remove with freehand cut tool
Remove from photos using a freehand cut tool. Select images and create multiple cutouts. Edit cutout details for precise results. Use cutouts as stickers or stamps on other photos. Move, zoom, and rotate cutouts for flexible editing.


Photo Collage Layout
M2N Enterprise LLC
Edit photos and add holiday designs
Create and arrange collages with customizable grids and templates. Add stickers, backgrounds, and fonts. Share finished collages directly.




Magic Photo Editor FX
Robert George
Edit photos quick and easy.
The app offers tools for photo editing, including auto enhance, meme generation, stickers, frames, and text. Users can adjust color balance, saturation, and sharpness, and crop or rotate images.





Photo Background
Nothern Studio
Remove with AI
Remove image backgrounds using AI for transparent effects. Edit photos by cutting specific areas manually. Add new backgrounds, text, and stickers. Create profile pictures with customizable options.



Background Remover: BG Remover
Parsottambhai Dhameliya
Remove from photos
Remove backgrounds from photos with AI-powered detection. Select transparent, white, or custom backgrounds. Edit images by removing people, faces, products, animals, text, and objects. Export edited images in various formats.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.