AI Infographic Generator

A drag-and-drop infographic builder that uses AI to turn raw data into polished, branded visual stories. Non-designers can create publication-quality infographics in minutes.

0x Faster Creation
0+ Chart Types
AI Powered
Screenshot coming soon

What was broken.

Every department had the same problem. Enrollment data needed to become a board presentation. Student outcomes needed to become a report for accreditors. Marketing needed branded social graphics with fresh numbers every quarter. And every time, the same bottleneck appeared: the one person on staff who knew how to use Illustrator was booked for three weeks.

So people improvised. They wrestled with PowerPoint, dragging shapes around for hours to approximate something that looked "designed." They signed up for Canva accounts that nobody shared credentials for, producing infographics in a dozen different styles with zero brand consistency. Or they just dumped a screenshot of an Excel chart into a Word doc and called it a day.

The deeper issue was interactive data. Leadership wanted dashboards and visual reports that stakeholders could actually explore, drill into a bar, hover for context, filter by department. That kind of thing required a developer, and the development team was already stretched thin building tools for enrollment and compliance. Data visualization was always the thing that got bumped to "next sprint."

Hours Lost in PowerPoint

Non-designers spending 4-6 hours fighting with slide software to produce a single infographic that still looked amateur.

Brand Chaos Across Departments

Every team used different colors, fonts, and layouts. Reports from the same institution looked like they came from different organizations.

Interactive Visuals Required a Developer

Any chart that needed hover states, filtering, or drill-down meant filing a ticket with the dev team and waiting weeks.

Reports Looked Amateur

Excel chart screenshots pasted into Word documents. That was the standard for data reporting. Leadership deserved better.

How we solved it.

01

Design System & Brand Lockdown

Started by auditing every department's existing visual materials and distilling the institution's brand into a configurable design system: color palettes, typography scales, icon sets, and layout templates. This became the foundation that every generated infographic would inherit automatically.

Key insight: The brand system needed to be flexible enough for marketing, academic affairs, and student services to all feel "on brand" while still having department-level identity.
02

AI Layout & Color Engine

Integrated Google Generative AI to analyze incoming data and recommend optimal visualization types, layout compositions, and color pairings. Users paste raw data or upload a CSV, and the AI suggests whether it should be a bar chart, a flow diagram, a comparison grid, or a timeline, with layouts already configured to match.

03

Interactive Visualization Layer

Built a multi-engine rendering pipeline: D3.js for custom interactive charts, Vega/Vega-Lite for declarative statistical visualizations, and Three.js for 3D data representations. All three engines share a unified data model so users can switch between 2D and 3D views of the same dataset without re-entering anything.

04

Drag-and-Drop Canvas & Export

Created a React-based canvas editor with Framer Motion animations where users can rearrange chart components, add text blocks, adjust styling, and preview animated transitions. One-click export to PDF or PNG for print-ready deliverables, with the option to share interactive versions via a unique URL.

The export pipeline renders at 300 DPI for print quality, and the interactive share links preserve all hover states and drill-down functionality.

Technologies Used

React 18 D3.js Vega / Vega-Lite Three.js Google Generative AI Framer Motion React Router PDF Export

Still creating data visuals by hand?

We'd love to hear how your team handles data reporting and whether a tool like this could save you real time.

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What it actually does.

AI-Suggested Layouts

Paste your data and the AI recommends the best layout composition, chart type, and color scheme, all matched to your brand guidelines. No design skills required.

D3.js Interactive Charts

Hover states, tooltips, drill-downs, and animated transitions on every chart. Stakeholders explore the data instead of just looking at a static image.

Declarative Vega Visualizations

Vega and Vega-Lite power the statistical chart engine: scatter plots, heatmaps, geographic maps, and multi-layered views defined by data, not code.

3D Data Visualizations

Three.js renders 3D bar charts, scatter clouds, and surface plots for datasets that benefit from spatial representation. Rotate, zoom, and explore from any angle.

Brand Customization & Templates

Lock in your institution's colors, logos, and typography. Every infographic starts on-brand. A growing template library covers reports, social posts, and presentations.

PDF & PNG Export

One-click export at 300 DPI for print-ready deliverables. Share interactive versions via unique URLs that preserve all hover and drill-down functionality.

See it in action.

The numbers speak.

0x
Faster Creation
From hours in PowerPoint to minutes
0+
Chart Types
Bar, line, pie, treemap, scatter, and more
0%
Brand Consistency
Every department, every output, on brand
0
Design Skills Required
Anyone can produce publication-quality visuals
We used to wait weeks for the design team to turn our enrollment data into something presentable. Now any department head can produce a polished, branded infographic in under ten minutes, and the interactive versions let our board actually explore the numbers during presentations.
DV
Director of Institutional Research The Institution

What we learned.

01

The hardest part isn't the chart. It's choosing the right chart

Most users don't know that a stacked bar is wrong for their data or that a treemap would tell the story better. The AI recommendation engine became the single most-used feature because it removed that decision entirely. People don't want to learn data visualization theory. They want the tool to make the right call for them.

02

Brand consistency is an adoption multiplier

Once leadership saw that every output, from every department, looked cohesive and professional, they started mandating the tool for all data reporting. The brand lockdown feature turned a "nice to have" into an institutional standard. Consistency sold it more than any individual feature.

03

Interactive beats static every time

The original spec was primarily about static infographic generation. But once stakeholders saw that they could hover over a bar to see the underlying number, or click a segment to drill into department-level data, they stopped asking for PDFs altogether. The shareable interactive links became the default way to distribute reports.

Ready to turn your data into
visual stories?

Every great infographic starts with a dataset and a question. Tell us about the data your team is struggling to communicate, and let's build something that makes it click instantly.

No pitch. No pressure. Just a conversation about what might work.