How to quickly create infographics with neural networks: a step-by-step guide for beginners

Infographics have long ago become a universal language of visual communication, which allows you to explain in seconds what you would have to explain in a text in paragraphs. Even ten years ago, its preparation required Illustrator skills and hours of painstaking work. Today, creating infographics with the help of a neural network is a matter of a couple of clicks - the main thing is to be able to formulate a request.

If you need an infographic, all you need to do is set the right promt and use one of the online services listed above. In this article, we'll look at how to make an infographic using a neural network without a design budget, which tools you should choose, and how ReText.AI speeds up text preparation.

What is an infographic

An infographic is a visual representation of information that combines text, icons, charts and color accents. It helps the consumer quickly grasp the essence, compare indicators and make a decision. For marketplaces, infographics in product cards can increase conversion rates, for B2B blogs they can keep attention, and for educational materials they can make dry statistics visual.

How generating infographics by promt works

Generative models are trained on millions of images and textual descriptions. In practice, the process looks like this:

1. Define the goal: formulate what data should go into the visual.
2. Prepare the text: ReText.AI shortens volume, emphasizes emphasis, eliminates ambiguities.
3. Make a promtSpecify the type of graphic (timeline, pie chart), style ("isometric", "corporate minimalism"), background and format.
4. Select a generator: Midjourney gives detailed renders, DALL-E is versatile, Kandinsky understands Cyrillic well, ChatGPT + Vision offers SVG code.
5. DorabReplace brand colors, add a logo, check readability on mobile.

Creating infographics with a neural network always includes a testing phase: two services for the same promt give different results, so don't be afraid to experiment.

Top 4 services for creating infographics

Before moving on to choosing a generator, it's worth doing a "preproduction" of the text. ReText.AI. simplifies wording, removes tautology, saves symbols and makes the message more "edible" for the model: Paraphrasing, Grammar, Summarization and other modes help to "squeeze out the water" and leave only the data that really needs to get into the visual.

Below is an in-depth look at four tools that take creating infographics with neural networks from a daunting task to an understandable flow of work.

Piktochart

Piktochart has long been known as an infographic builder, and in 2025, it's getting an "add-on" Pikto AI. The model generates diagrams, maps, and even entire landings one promt at a time. If you need to create infographics with neural network for free, the platform has a free-tariff with five projects; further, from $14 per month for a Pro account.
What's good about the service:

• quickly builds charts "out of the box" (CSV → chart in a minute);
• gives more than 280 templates, including vertical formats for marketplaces;
• brand-kit fixes colors and fonts so that each new layout follows the guides.
• is available in Russia.

Minuses: Cyrillic alphabet is partially supported; watermark is removed only on paid plans.

Venngage

Venngage has integrated DesignAI Generator: enter a theme and you get a layout that already contains icons, headers and auto-complete text. The focus is on customization: Brand Kit picks up the logo and colors, and Smart Accessibility checks contrast for WCAG.
Pros

• AI templates for timelines, processes, and statistics;
• export to PNG, interactive PDF and HTML;
• the license allows commercial use without additional fees.

Minuses

• the free plan is limited to five downloads;
• SVG export is only available on the business tariff.
• Venngage is especially convenient for those who are willing to pay limits for the sake of quality.

Canva Magic Design

Canva has brought its AI modules into a single unit Magic Studio. Magic Design generates slides and infographics, Magic Media generates pictures, and Magic Insights builds charts directly from spreadsheet data. There is a free version. Pro from 9 € per month.

ChatGPT + Vision / GPT-4o, o3

The main feature of ChatGPT is flexibility: the model can generate a pure SVG code (vector without loss of quality) or describe an image that you will send to DALL-E immediately. GPT-4o and o3 versions have learned to render text accurately, which is critical for complex schemes. Read more here: OpenAI, Dinosaur Mama.

When to use

These services cover almost all scenarios: from "I'm a beginner, I want to quickly understand how to make infographics with a neural network" to "I need a pipeline for an agency". Try different promts, keep the checklist from the previous section, and remember: regular practice turns working with AI into the very hard skill that employers already put on their job descriptions.

Examples of effective promts for infographics

Before we get into specifics, let's fix it - a quality promt consists of five mandatory parts:

1. Context - short description of the purpose ("comparison of smartphones", "steps to register on the marketplace").
2. Data - numbers, categories, steps; preferably in brackets or by enumeration so that the AI model does not confuse the order.
3. Style - visual aesthetics ("isometric flat", "corpo-minimalism", "3D-gradient").
4. Technical parameters - size in pixels, orientation, format ("1080×1920 px, vertical, PNG").
5. Clarifying restrictions - brand colors, text language, no watermark.

Below are eight templates tested on Midjourney v7, DALL-E 4 and Kandinsky 3.0. Replace the values in square brackets with your own and get the infographic in the first render.

Experiment: change the style, expand or reduce the data, but keep the five pillars of the promt. This way, creating infographics with a neural network remains a predictable process and the result is adaptable to different platforms.

What's important to know before creating an infographic

Before hitting the "Generate" button, evaluate the project on several levels, from legal nuances to technical optimization. Neural networks can reduce design time, but the process itself still requires editorial oversight. Your image will end up on websites, marketplaces, may go into a print run or an official report for investors, so the cost of error is much higher than it seems. Below, we've put together a "squeeze" checklist of practices that will help you go from raw data to visuals without surprises.

Quick tips

• Clearly state the goalFor social networking, 1080 × 1080 px and the first screen are enough; for printing, take care of DPI and color profile.
• Prepare the data in a table: CSV file or Google Sheets make it easier to control numbers and reduce the risk of typos in promt.
• Keep the original promt: query history will come in handy if you have to update the infographic in six months.
• Use a brand kit: once fixed, fonts and colors save hours of edits "from marketing".
• Test on mobile: more than 70% of your audience is viewing content from a smartphone, so check the scalability of the text.

Taking a deeper look, creating infographics touches three areas at once: rights, data, accessibility. First, the license of the content. Most generators (Midjourney, DALL-E) allow commercial use, but often require you to specify the source or pay an extended rate. Second, the correctness of the numbers. The AI doesn't understand what the "correct" values are, it just recycles what you've given it. The third plane is inclusiveness and accessibility (WCAG AA): contrast ≥ 4.5 : 1, clear fonts, no small text, alternative descriptions for screen readers.

Technical details are equally important. PNG and WebP are good for the web, PDF/X-4 and TIFF for offset. Don't forget about color models: RGB looks brighter on displays, while CMYK looks brighter on paper. File weight is also critical: Marketplaces limit product cards to 300 KB, corporate portals can only accept images up to 2 MB. Check fonts separately: Cyrillic fonts are often replaced by Latin if they are not available in the generator's system.

Another point is privacy. Tools like ChatGPT save requests for model training, so it's better not to carry NDA-covered data there. In such cases, it is safer to generate an empty "dummy", and substitute numbers and logos in a vector editor locally.

Cautions

• Don't overload the visuals: three to four key blocks are sufficient; unnecessary graphics reduce readability and weigh down the file.
• Avoid "clickable" backgrounds: complex textures interfere with text recognition, especially on low brightness screens.
• Always make a backup: services update the models, and the same promt may give a different result after a month.
• Check legal restrictions: maps, photos of people, official emblems may require a separate license.
• Keep track of when the data is up to date: market figures and prices become outdated quickly, plan for regular updates.

By mastering these rules, you'll develop the same hard skill of working with neural networks that has already entered the job descriptions of content specialists, marketers, and product managers.

Creating infographics with neural networks is no longer the domain of developers and data-artists. ChatGPT, DALL-E and Piktochart tools have democratized the process, and ReText.AI has accelerated text preparation. All it takes is a competent promt, basic design principles, and the right service - and even a free online generator will turn raw data into a bright, clickable visual.