Apps Like WikiArt for iPhone and iPad
Explore artworks from around the world
Explore artworks from 3,000 artists across 100 countries. Browse paintings, drawings, and other media organized by artist, style, genre, period, and museum. Access concise artist bios, artwork context, dates, and provenance information.
WikiArt screenshots
Ranked alternatives
Showing 461–480 of 1,000 ranked alternatives.







Anime Master
超然 雷
Nime art from prompts or images
Create -style artwork from text or images using AI. Adjust character designs, backgrounds, and color schemes. Export and share finished pieces. Collaborate on projects with real-time editing features.

NFT Creator - Art Maker Go!
Skyrocket Apps Limited
Create NFT art with filters and fonts
Create NFT art series using a graphic library with 10,000+ images and 100+ filters. Add fonts, import personal photos, and design pixel art or crypto graphics. Generate NFT collections and deploy them to a blockchain.





Cartoon Yourself - Isekai
Nigell Dennis
Transform photos into anime art
Turn photos into anime artwork with AI-powered transformation. Apply one-tap filters for modern anime style. Edit high-resolution images and save as art. Share transformed photos on social media.

Drawing Sketch: AR Draw by Cam
MINOR BUGS
With your camera in AR
On paper using AR camera to trace sketches. Access templates and gallery photos for reference. Adjust line thickness and color. Save and share drawings directly.




duen
Huner Sindi
Translate words with audio examples
Learn Kurdish and English with a dictionary and translator. Look up words with detailed definitions and real-life examples. Listen to audio pronunciations. Browse words organized into categories. View words in a clean, modern interface.


Syntetic AI - AI Art Generator
MULTI MOBILE d.o.o.
Rt from text descriptions
Create artworks by describing scenes or ideas. Input text to generate visual compositions. Experiment with styles and refine outputs. Share finished pieces directly.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.