Text on Art: Add Text on Photo
Editor, Quote & Poster Maker'
About
Easily transform your text into professional, creative designs for social media, posters, and more. Utilize AI-powered typography and a vast library of fonts, backgrounds, and filters to craft unique visuals.
What's New in Text on Art
1.0
January 31, 2022
Developer apps
FAQ
What is Text on Art?
Text on Art is a graphic design application that uses AI to help users create professional and creative text-based designs for social media, posters, and more. It offers a variety of fonts, backgrounds, and filters to enhance your visuals.
How does Text on Art use AI?
The app leverages the latest AI technology to generate unique and professional text art designs. This means it creates new design layouts each time you use it, rather than relying on static templates.
Can I add my own logo to designs?
Yes, you can add your logo to designs as part of the Pro features. This also includes the ability to remove watermarks from your creations.
What kind of content can I create with Text on Art?
You can create quotes, social media posts for platforms like Instagram and Facebook, images with text for blogs, adverts, announcements, posters, flyers, and captions for your photos.
Does Text on Art have ads?
Based on the provided information, Text on Art does not contain advertisements. It is a free app with optional premium features.
What are the Pro features in Text on Art?
Pro features include the ability to create high-resolution graphics for printing, add your logo and remove watermarks, access stylish frames and layouts, use custom fonts and colors, and work with multiple text layers.
What subscription options are available for Text on Art?
Text on Art offers subscription plans including 1-week, 1-month, and 1-year options, all with a 3-day free trial. Subscriptions automatically renew unless cancelled at least 24 hours before the current period ends.
What is the user rating for Text on Art?
Text on Art has a rating of 1.0 stars based on 2 ratings. This indicates a very low user satisfaction based on the available data.
