remove object background ai app icon

Apps Like remove object background ai for iPhone and iPad

by Sounak Sarkar★ 4.611 ratingsGraphics & DesignFreeData updated 2026-09-11

remove object background ai screenshots

Ranked alternatives

Showing 501–520 of 1,000 ranked alternatives.

  1. Sup Filters app icon

    Sup Filters

    Abdullah Albalawi

    Apply and save photos

    Apply like Chrome, Fade, and Mono to images. Share edited images via Snapchat or save to photo library. Access all and remove ads with a premium subscription.

    ★ 4.021 ratingsPhoto & VideoFreeData updated 2026-09-06
  1. Pixart AI Photo Editor app icon

    Pixart AI Photo Editor

    Grisoft Yazilim ve Bilisim Hizmetleri Limited Sirketi

    Edit photos, remove objects, adjust backgrounds

    Edit photos with object removal, background erasing, and blur tools. Add stickers, neon lights, and colorful lines. Apply artistic effects and create black and white photos. Adjust backgrounds and highlight objects for professional results.

    ★ 5.019 ratingsPhoto & VideoFreeData updated 2026-09-06
  2. Motion Blur Effect - Blurry app icon

    Motion Blur Effect - Blurry

    Vaghani Keyur

    Photos with and gaussian effects

    BlurEffect enables users to apply various effects to photos. Options include , Gaussian , crystalize, soft focus, pixelate, hexagon pixelate, halftone, polka dot, prism, zoom . Users can adjust settings and export modified images.

    ★ 5.02 ratingsGraphics & DesignFreeData updated 2026-09-06
  3. Photo Background Editor - Erase, Cut Out & Replace app icon

    Photo Background Editor - Erase, Cut Out & Replace

    Vendi Mobile Technologies Private Limited

    Edit photos with backgrounds and text.

    The app allows users to select foreground images from various sources and erase backgrounds. Users can then add background images, text with over 100 font styles, and over 1000 stickers to create edited photos.

    ★ 2.013 ratingsPhoto & VideoFreeData updated 2026-11-03

How we rank alternatives

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