FAQs

Is there AI that can create a logo?

AI logo generators exist, though there are drawbacks. Some require payment, and other free ones create very simplistic logotypes. The benefit is that you don’t have to work on them after they’re created, as the tools add your company’s name and slogan to the logotype.

What are some good AI logo generators to use?  

Namecheap: This free AI logo generator lets you edit and download your logos without payment just by signing up for an account.

Hatchful: This free AI logo maker from Shopify  — my favorite tool — generates more cohesive logos that look less generic than the alternatives. It also asks users to select their brand styles, from creative and bold to classic and reliable, as part of the creation process.

Brandmark: This is a paid logo generator tool with a one-time cost that ranges from $25 to $175. Its logos are simple yet attractive, but it offers only limited graphic options. 

Looka: Allows you to customize the logo and gives you many layout options. But it requires payment, and you have limited graphic options. The subscription is available at a one-time cost of $20 or $65 packages, or as part of a subscription for brand kits including multiple files and other formats for $96 and $192 billed annually.

Logo AI: The logos created with Logo AI seem a little generic overall, but there were some interesting options. It offers three paid packages ranging from $29 to $99. 

Designs.AI: This site walks you through their questionnaire to narrow your logo preferences. It’s also pretty limited in graphics, and  plans cost between $29 and $69 monthly. 

These AI logo generator tools are easy to use and have users fill out a questionnaire with the company’s name, slogan, category and keywords, color palette, and preferred fonts.

Also: The best AI art generators: DALL-E 2 and fun alternatives to try

Why can’t some AI art generators add text accurately to logos and images?

The free generative AI tools aren’t the best at creating logotypes because they can’t generate the letters accurately. Large Language Models (LLM) are trained on data from the internet and other digitized sources. They generate new content based on their knowledge, but the smaller details don’t always translate accurately.