Apps Like Pixel Ride for iPhone and iPad
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.

Anamorphic Cinematic Filters
James Grote
Capture photos with lens blur
Create portraits with lens blur. Apply realistic bokeh effects with a custom engine that samples 500 times per pixel at 4K resolution. Adjust blur intensity and shape. Export edited images in high resolution.


Morph Booth-Halloween Sticker
Shenzhen Bigger Lens LLC
Edit photos into terrifying horror movies
Apply photo filters to create horror-themed images. Edit photos with cropping, adjustments, and effects. Add text and stickers for a creepy atmosphere. Export and share edited photos in various formats.

Background Eraser, AI - AppCut
VATARAS OU
Edit photos, crop images, and design graphics
Edit photos with cropping, resizing, and removal tools. Apply filters, adjust colors, and add text overlays. Export images in various formats and share directly to social media or online stores.








Background Remover
LILUCAT SLU
Edit photos and remove backgrounds
Edit photos by coloring areas to remove, blur, or pixelate backgrounds. Adjust sensitivity for precise edits. Save and share modified images directly.


Headshot Generator: Ai Look
TapGeneration LP
Generate headshots with AI
Generate professional-grade headshots using AI-powered image analysis. Adjust lighting, angles, and background. Choose from multiple styles and export in various formats.

Instashots: Headshot Generator
Ramy Malik
Generate professional headshots with AI
Generate professional headshots using AI by uploading a selfie. Select from various styles to match different professions. Edit and download final images for LinkedIn, resumes, and personal branding.


Professional Headshot: Optrix
INNOVATIVE DIGITAL TECHNOLOGIES LIMITED
Create portraits from selfies
Upload a selfie and select a style to generate a . Edit lighting, background, and pose adjustments. Export in high resolution and share directly to LinkedIn, resumes, or websites.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.