Apps Like Vinv for iPhone and iPad
Generate images from text or photos
Create images from text or existing photos using AI. Convert images into various styles. rtistic or realistic visuals based on simple descriptions. Edit and export resulting images in different formats.
Ranked alternatives
Showing 801–820 of 1,000 ranked alternatives.


Space HD Wallpaper - Great Collection
Patel Rikunj
Set wallpapers from photos
Set images as with custom cropping and scaling options. Access photos from device library or search online via Image Search API. Adjust brightness, contrast, and saturation. Share edited images or save as directly.


PDFul - Compress PDF & More
Mohammed Alsehli
Merge, split, convert, and PDFs
Edit, , split, merge, and convert PDFs and images. Convert between PDF and image formats. Export files directly. All processing occurs locally without cloud storage or data collection.



Batch Image Toolset
刚刚 孔
Batch process images and create PDFs
The app offers batch renaming, resizing, conversion, and cropping of images. It can create GIF animations and convert images to password-protected PDF files with album support.



Aquarium Photo Frame - Amazing Picture Frames & Photo Editor
Patel Nishaben
Apply to photos and share them
Edit photos by selecting from the gallery or capturing new ones. Apply various and effects. Adjust image position, size, and angle. Save, share, or upload photos to social media platforms like Facebook, Twitter, and email.







i-FlashDevice Pro
zhong qibiao
Manage files across devices and platforms
Manage files across iOS devices with support for DOC, XLS, PPT, JPG, MP3, and MP4 formats. Backup contacts and camera roll. Preview images, play videos and audio. Exchange files between devices and platforms.



Convert Archives
Sander Staal
Convert files to archive formats.
The app converts files to various archive formats including 7Z, ZIP, and RAR. It supports cloud and offline conversion, allowing users to share converted files via email.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.