Background Remover. app icon

Apps Like Background Remover. for iPhone and iPad

Erase backgrounds and save as PNG

Remove backgrounds from images using AI-powered tools. Select areas to erase and automatically cut out subjects. Export as transparent PNG files. Adjust edges and refine results manually. Share edited images directly.

by Real Vision Ltd★ 4.557 ratingsPhoto & VideoFreeData updated 2026-09-06

Background Remover. screenshots

Ranked alternatives

Showing 981–1000 of 1,000 ranked alternatives.

  1. Acorn 8 app icon

    Acorn 8

    Flying Meat Inc.

    Edit photos, create designs, experiment with art

    Edit images with layers, masks, and advanced tools. Add text and shapes. Create detailed designs and artistic edits. Export in multiple formats. Sync with other apps and devices. Adjust colors and apply filters. Save and organize projects.

    ★ 0.00 ratingsGraphics & Design$19.99Data updated 2026-09-06
  1. Face4Pass app icon

    Face4Pass

    Giuseppe Cigala

    Create document photos for IDs.

    The app allows users to create document photos for IDs and passports. It offers image editing tools for quality improvement, background removal, and custom sizing with DPI settings.

    ★ 0.00 ratingsPhoto & Video$2.99Data updated 2026-10-02
  2. Photogenic AI - Photo Editor app icon

    Photogenic AI - Photo Editor

    Alperen Ciftlikci

    Edit photos with AI-powered tools

    Edit photos with AI-powered filters, color correction, and smart enhancements. Remove objects, adjust lighting, and apply textures. Export in high resolution and share directly.

    ★ 0.00 ratingsPhoto & VideoFreeData updated 2026-09-06
  3. Desktop Blurrifier app icon

    Desktop Blurrifier

    Chris Paveglio

    Make desktop icons easier to see.

    The app applies a gaussian blur to desktop pictures to make icons more visible. Users can also adjust image scaling, saturation, exposure, colorization, and position.

    ★ 0.00 ratingsUtilities$4.99Data updated 2026-09-27

How we rank alternatives

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