Painteresque is made and published by Brandyn Webb. AppBrain is an independent app data site and isn't affiliated with Brandyn Webb. The app name, icon, screenshots and description belong to Brandyn Webb and are shown as published on the App Store.
AppBrain's verdict
Removed- Rating on App Store
- 4.04
- 28 ratings
- Last updated
- December 12, 2018
Painteresque is no longer on the App Store. It had too few ratings to say what users thought.
Competitors
Similar apps and more from Brandyn WebbAlso available on Google Play
Releases
Updates seen on the App Store- Version
- 2.2
- Launched
- January 2012
No changelog data
User feedback
Ratings and reviews on the App StoreComments on Painteresque for iOS
We don't have enough comments to show example comments. Please check back later.
Technology
Found in the app by AppBrain- Price
- Free
- App size
- 2.58 MB
- Content rating
- Everyone
Technologies used by Painteresque
About the app and developer
About Painteresque
Painteresque was a photo & video app developed by Brandyn Webb. It was removed from the App Store Dec 20, 2023.
User Ratings
Painteresque was rated 4.04 out of 5 stars, based on 28 ratings.
App Information
Painteresque was free. The app size was 2.58 MB. The last available version was 2.2. The last update was on December 12, 2018.
Technical Requirements
The app had a content rating of Everyone. The app had been available on the App Store since January 2012.
Developer information for Brandyn Webb
Address:
Store listing
By Brandyn Webb, from the App StoreSimilar apps
Description by Brandyn Webb Written by the developer, not by AppBrain. Click to read.
This filter is based on a model of the eye developed to enable an artificial intelligence to see. We asked it to show us what it sees, and this is what came out. Just select or snap a photo for Painteresque to revisualize, and a few seconds later the resulting image is ready to save. With version 2, you can control various settings and save configurations in custom styles, or choose from a handful of included styles.
It generally produces good results for scenery, still lifes, architecture, and animals. Results for photos of people can be good or bad since it tends to bring out details rather than hiding them.