published apr 12, 2026
Generate Editable Infographics in 15 Minutes with AI
intermediateResearch the story, not just the facts
Start in your favorite AI research tool. The source workflow used Perplexity's deep research. Tell the tool that the end goal is an infographic instead of asking for a generic summary. Ask for outliers, comparisons, and narrative angles.
Do deep research on [your topic]. Look for outliers and narrative angles. Our end goal is four infographic concepts recapping the most interesting data trends.
In the source example, the topic was Daytona 500 data. The goal was not to collect every stat; it was to find the strongest storylines that could anchor a graphic.
Turn the research into image prompts
Once the research is done, ask the tool to turn each concept into an image prompt.
Give me a prompt for each concept that I can paste into an AI image generator. Make the data easy to copy and paste.
This gives you a prompt set with the story and the data already packed in. Some prompts will be usable right away. Others will be too long or too cramped. Treat them as a starting point.
Generate the first visual in Gemini
Paste one of the prompts into Gemini and generate a few infographic options.
The source workflow also tested Midjourney, but Gemini handled the data-heavy prompts better. Download the strongest result as a PNG. If you use another image tool, the same rule applies: you only need a clean first pass you can edit later.
Pro tip: Text-based infographics tend to work best. Once the image has lots of tiny charts, thin lines, or crowded labels, the next step gets harder.
Upload the image to Canva and run Magic Layers
Open a new Canva project, upload the PNG, select the image, then go to:
- Edit
- Magic Studio
- Magic Layers
Canva will scan the image and separate it into editable parts. In the source test, each image took about 30 to 60 seconds, and Canva could process more than one at once.
Clean up the layers
Now fix the parts AI got wrong. This is where the workflow becomes useful.
The source workflow found three common cleanup jobs:
- Correct misspelled names or labels
- Replace cramped text that was too dense
- Swap in real product photos or logos when the generator guessed wrong
Text-heavy infographics came out closest to ready. Mixed text-and-image layouts usually needed a few replacements. Dense charts were the easiest way to break Magic Layers, so keep the concept simple.