Need an illustration or drawing, but lack the artistic talent to create it yourself? We completely understand—our drawing skills aren’t exactly award-winning either. Even if we can’t sketch it by hand, we usually know exactly what we want to see. That is where a website like Jrake.com turns out to be the ultimate winning combination.
Jrake.com is a web platform where you simply type a description of what you want, and it automatically generates the artwork for you. For certain prompts, the results can be remarkably impressive. For example, when we typed in “a happy cowboy riding a horse in a forest,” we got a striking output:

It looks realistic, but only to a point. There was something about the word “happy” that didn’t quite translate properly, leaving us wondering whether the cowboy was genuinely joyful or slightly unsettling!
On the other hand, some prompts can miss the mark and border on the comical. When we asked for a “scary hacker,” this is what we ended up with:

We don’t know about you, but our mental image of a scary hacker is a bit different! Fortunately, if you aren’t happy with the initial result, you can easily prompt the generator to try again. The next iteration was a bit closer to what we had in mind.
Exploring Styles and Features
Visiting the site allows you to browse various examples to spark ideas, and you will find a selection of helpful filters at the bottom. Depending on the desired style, you can choose abstract or digital art, a comic book look, a starry-night aesthetic, and more.
As a handy bonus, Jrake.com tracks your previous inputs. If you want to revisit a past prompt, you can check your previous searches, or click clear history to wipe them all clean.
Jrake.com is a fun website to experiment with, especially when you’re just starting out. It can also serve as a quick fix when you urgently need a low-resolution graphic that is free from copyright restrictions.
About the Author
Martin Jovanchevski is an independent games journalist and Founder & Editor at Dev & Play Media. This article is an English adaptation of his original article published on itmk.


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