Apps Like Compose Lite for iPhone and iPad
Create images from other images.
The app combines images using fade and blend features. Users can adjust color, brightness, shadows, edges, tone, and hue for warm and cool colors.
Compose Lite screenshots
Ranked alternatives
Showing 601–620 of 1,000 ranked alternatives.



Splash Effect Photo Editor App
wilson sonkamble
Edit photos with color
Edit photos with color effects, convert images to grayscale or apply custom colors. Adjust hue, saturation, contrast, and sepia tones. Save and share edited images directly.

MixFilter - Photo Camera Fx Filters Editor Effects
婷 熊
Apply and edit photos
Apply thematic with 18 styles, each offering 20 variations. Use grid combinations to blend multiple . Add graphics and art for creative . Customize with multi-functional tools. Export edited images in various formats.

Vector converter : SVG Maker
Abdul Shakoor
Convert images to graphics
Convert images to scalable formats like SVG or EPS. Upload PNG, JPG, or BMP files and automatically trace edges for precise outlines. Edit paths, adjust colors, and export files for printing, web use, or CNC cutting.


Shadow Shine - image effect
Alexander Dr. Rieger
Finger paint colored shadows onto photos.
The app allows users to finger paint colored shadows onto photos. Users can paint, zoom, and erase shadows to create unique images.









Camera with Filters
Gianluca Natalini
Apply , edit images, compare effects
Edit photos layered and adjust opacity for precise control. Preview filter combinations side by side. Compare filter effects on the same image. Overlay multiple images fade transitions. Adjust details and export edited images.

ImageShift ∙ Resize & Convert
RUBEN GARCIA FIGUEROA
Images and formats offline
And images between HEIC, JPG, PNG, PDF, WebP, GIF, TIFF, and BMP. Perform batch processing for multiple files. View conversion history with previews and share results directly. Export with improved color profiles and high-quality settings.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.