Graphs, charts, presentations: How to use visual learning tools for AI

Not long ago, creating a solid presentation, a clean infographic, or a sharp data visualization meant you knew your way around design software or paid someone who did. However, that has changed. There is now an array of AI-powered tools that allow anyone to put together professional-looking visuals and interactive graphics in minutes.
Obviously, these tools are still emerging, but there are a range of options to play with right now. Here is a guide to the best visual AI tools.
Why would you want to use virtual AI tools?
The goal of visual AI tools is to help you more on the technical side of things, so you can focus on the idea of how it should look – and describe that idea in natural language.
In terms of what people actually use, a few areas stand out. Converting raw data or statistics into infographics is a big deal — instead of putting in numbers, icons, and text yourself, you feed the tool your data and get something structured and visual. Flow charts and process diagrams are another great way to use these tools, especially if you’re planning a complex workflow and don’t really want to spend an hour dragging connection lines.
A big time saver can be creating full presentations from raw text. You can take a rough draft or a messy block of notes and end up with a multi-slide deck in just a few minutes. Additionally, these tools handle tasks such as creating custom background graphics, generating data visualizations and charts, and even creating video content for courses. Even something straightforward, like adding visual elements to documents to improve engagement and accessibility, becomes much faster when AI makes layout and style decisions.
None of this is to say that tools encrypt everything, but when it comes to speed and ease of use, they can help a lot.
Design and presentation platforms
If you need to create presentations, diagrams, or infographics without staring at a blank canvas, there are a number of consumer-friendly platforms with AI features that handle most of the heavy lifting. You’ll find AI tools in standard software suites. If you work in Word or PowerPoint, use Microsoft Copilot. If you choose the Google Workspace suite, Gemini can quickly produce slides, charts, graphs, and more.
Gemini can analyze and visualize the data for you.
Credit: Google
Use Gemini to convert Google Sheets data into charts and graphs.
Credit: Google
Canva is another widely used tool in this space. It used to be a manual visual builder, but a few years ago, it launched its own Magic Studio suite, which can generate full presentations with a single text prompt. All you have to do is define what your presentation is about, and Canva includes a structured deck that you can customize to your liking. There’s also Magic Write, which taps into a large language model to expand, refine, and shorten written content. For people who have never opened a design software in their lives, the fact that Canva handles both visual design and writing makes it one of the most complete options out there.
FigJam AI, which lives within the Figma ecosystem, offers a slightly different angle. It’s great for automatic drawing generation. You give it text input, and it turns them into flowcharts, mind maps, organizational charts, and so on. FigJam can automatically reorder and categorize content, too – you can just throw a bunch of random ideas at it, and it will organize them into logical groups with a visual structure. That’s useful when you’re trying to make sense of complex information before making a formal presentation.
Mashable Light Speed
Venngage is very specialized, focusing on infographics and visual content designed specifically for educational materials. If you’re an educator looking to turn lesson plans or datasets into engaging handouts, Venngage is built with that workflow in mind.
Custom image production and graphics
Right now, most AI services have graphics baked into a specific environment. Anthropic is one of the few exceptions, but the AI company recently introduced a new design tool to help create charts, graphs, and documents. So, no matter which AI chatbot you choose, it can help you with your next presentation.
If you choose to work on ChatGPT, the popular AI chatbot is very effective at generating images and visualizing data. You can even create custom, interactive visualizations that illustrate a specific scientific principle or data set.
There are also a number of AI image generator models used in professional tools. This includes the likes of Midjourney, which launched in 2022 and quickly built a reputation for producing highly detailed, great-looking images from text notifications. Adobe Firefly is Adobe’s consumer-facing take on productivity, and its biggest advantage is tight integration with Adobe’s extensive creative suite. Stable Diffusion is taking the open source route, attracting more technology users who want deeper control over how generation works or who would prefer not to rely on a subscription service.
Basically, these tools all allow you to do the same things. The quality gap between AI-generated images and conventional stock photography has narrowed considerably, although it’s not entirely gone – AI images still produce strange artifacts or inconsistencies that will be noticeable to the trained eye.
ChatGPT can now generate visuals for math and science lessons
Video and animation tools
Video production has always been one of the most time-consuming and expensive ways to create content. AI is starting to change that, especially in educational and training content.
Synthesia is a prominent consumer facing tool here. It produces realistic, animated videos and voice-overs entirely through text. You write a script, choose an AI-generated presenter (or your own custom one), and the platform produces a video that looks remarkably close to a standard talking head setup. What’s also great is how easy it is to update content; if you need to change a line in your script or update statistics, you simply reproduce the video instead of reshooting everything.
This is especially important for creating course materials and educational content when you don’t have the luxury of traditional production timelines. Consider an online course creator who needs 30 course videos, or a company that releases training materials in multiple languages. That said, while the technology has gotten a lot better, AI-generated presenters still tend to land in the dark. Movement and speech can feel off, which can affect how viewers experience the content. In most use cases, the trade-off of speed and cost is worth it, but it is not the ideal position of a real person on the camera in all cases.
Don’t forget to check your work
Before you dive into all the AI-generated visualizations, there are a few practical facts to consider. Concerns about quality and accuracy are probably at the top of the list. Images generated by AI may contain errors, inconsistencies, or misleading visual representations. You will need to ensure that charts, graphs, and infographics accurately represent the information they are supposed to convey. In addition, the designs produced can appear generic or cookie-cutter if you don’t put time into customizing your output.
There is also a learning curve that is easy to underestimate. These tools are marketed as simple, but using them well still requires knowing how to write good content and having a basic understanding of design principles. Of course, the cost of these tools is also important. Most platforms have free tiers, but those often come with limitations. Access to premium features often means subscription or usage-based pricing, and those costs add up quickly when you jump between multiple tools in different categories. Educational or business discounts are sometimes available, but they are not easy to find.
And finally, you’ll want to disclose that you’ve used AI. There is a growing expectation about being at the forefront when visualization is powered by AI. Using entirely AI-generated graphics in academic or professional settings without acknowledging it raises ethical questions about transparency. As practices and laws in this space continue to evolve, relying on disclosure is often a safe and responsible call.
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