AI Infographic Maker is an information designer that researches statistics, structures a visual narrative, and produces shareable infographics from a topic or data dump. Unlike generic chatbots that lose your hero stat and brand palette mid-campaign, this agent keeps the visual system intact across revisions. Built on Jenova's unified platform, it pairs models from OpenAI, Anthropic, Google, and more with search and image tools for research-to-export production. Verify legal, medical, or financial figures before you publish.
Visual assets now sit at the center of how marketers test performance, and images and infographics earn twice the average engagement on LinkedIn. Infographic Maker is built for that bottleneck: editorial judgment — what to emphasize, which chart to use, and how a stranger names the takeaway after a single scroll.
Infographic Maker researches current, citable statistics when you only have a topic, proposes a hero stat, and places source names in the footer. If you paste your own figures from a spreadsheet or brief, the AI uses those numbers as-is and will not silently swap them for lookalikes. Unverifiable claims get flagged instead of being dressed up as facts, and Google Search keeps the research trail inside the same conversation that later draws the graphic.
Infographic Maker builds a hook–body–resolution arc: a hero stat, provocative question, or bold claim; a scannable body of three to seven supporting sections; a takeaway or call to action; and a source line. Comparative framing beats an orphan percentage — “42% — up from 12% in 2019” is a story, while “42%” is a fragment. Two messages become two graphics; a set past about fifteen stats becomes a series or a document rather than a crowded frame.
Infographic Maker chooses statistical, process, timeline, comparison, list, map, hierarchy, flowchart, or explainer structure from the relationship in the data, not from whichever layout looks finished. Comparisons become bars or side-by-side cards; parts of a whole stay at five slices or fewer; rankings sort; processes get numbered steps; geography gets a map instead of a decorative chart. That chart selection is the information-design step most template workflows leave to the user.
Infographic Maker defaults to a 2:3 portrait, then matches Instagram (4:5 or 1:1), Stories (9:16), Pinterest, LinkedIn, X, decks (16:9), blog embeds, or print. A social feed can carry three to five data points; a tall Pinterest graphic can hold five to eight; a blog embed can stretch toward a dozen if it is sectioned. Hero numbers stay large, body copy stays short, icons share one stroke weight, and palettes stay restrained so platform-aware density does the work instead of chart clutter.
Infographic Maker decomposes feedback so “wrong number” updates data without restyling, “make it darker” shifts mood without rewriting copy, and “change this to a timeline” restructures flow while keeping the facts. Image generation models can be switched when a brief needs a different rendering strength. Format variations — a Story cut, a slide, a blog embed — keep a shared palette, type system, and icon language so a series stays visually coherent.
| Traditional Approach | Infographic Maker |
|---|---|
| Forgets approved KPIs between sessions | Keeps hero stats and series style |
| One vendor for research and rendering | Switches models by production phase |
| Chat text without a publishable graphic | Search, structure, generate, then export |
| Equal-weight walls of unsourced numbers | One message and attributed proof |
Unlimited Memory vs. Chatbot Amnesia
A generic chatbot that forgets last week’s approved hero KPI, section order, and coral-and-ink palette will ship a Monday deck that no longer matches Friday’s LinkedIn post, and a Story cut that looks like a different brand. Infographic Maker keeps the visual system — hierarchy, sources, icon language, and signed-off numbers — so revisions and format variations stay coherent instead of reopening a fight over figures a client already accepted.
Multi-Model AI Access
Research and source-checking need a careful model that will not invent a statistic; rendering a dense comparison graphic or a flattened icon set needs a stronger visual model. Infographic Maker lets you switch among OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more by production phase, including a different image generator when the brief needs another rendering strength. Single-vendor tools lock that tradeoff: ChatGPT stays on OpenAI, Claude stays on Anthropic, and neither is built as an information-design pipeline.
Intelligent Tool Integration for End-to-End Workflows
Infographic Maker runs a production chain, not a chat: a topic or spreadsheet goes into Google Search for citable figures, then into a locked hook, hero stat, and three-to-seven-section outline, then into image generation at the channel’s aspect ratio, then into layer-by-layer revision and export. Uploaded brand palettes, style references, and data files stay in the same thread as the graphic. The output is a sourced visual story ready for a feed, a deck, or a blog embed — not a paragraph describing what the graphic might look like.
Information Design, Not Template Decoration
Data visualization shows what the numbers look like; information design decides what they mean and in what order a reader should encounter them. Infographic Maker applies that editorial cut — one takeaway, direct labels instead of color-only legends, contrast that holds on a phone, and a quiet source line — so a stranger can quote the point after five seconds.
Demand-gen leads and content marketers
Infographic Maker turns a metrics export into a statistical graphic with one hero KPI, a handful of comparisons, and a source footer in time for a LinkedIn slot — then the same hierarchy can move into a Monday deck without a redesign.
Customer-education and enablement managers
Infographic Maker turns an onboarding or how-it-works brief into a numbered process graphic with self-contained steps. When the same argument has to hold at booth distance, Poster Maker can take it to print scale.
Founders shipping a Story from a phone
Infographic Maker takes a spoken benchmark and a 9:16 brief and returns a three-to-five-point Story graphic with oversized type. Social Media Content Generator can write the caption from the same claim.
Analysts and operators without a designer on staff
Infographic Maker finds the story in a messy brief, cuts vanity metrics, and picks bars, steps, or a timeline so the relationship is visible without a ticket in a design backlog.
SEO and editorial teams pairing graphics with articles
Infographic Maker produces the sourced visual; SEO Blog Generator builds the surrounding page so the graphic has headings, citations, and a URL worth sharing.
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All plans are billed monthly with no daily usage caps — your full quota is available immediately on each billing date.
Infographic Maker is an AI data-storytelling agent that finds the narrative in a topic, outline, or spreadsheet, picks the right infographic type, and designs a sourced graphic for the channel you will publish on. Every piece is treated as information design — hook, hierarchy, visuals, and source line — not as decoration dropped onto a locked template.
Infographic Maker remembers the hero stat, section order, brand palette, and icon language that generic chatbots drop between sessions, so a campaign series does not drift. It can switch among OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more when research needs source fidelity and rendering needs a different visual model — instead of living inside one vendor’s stack. Search, structure, image generation, and export run as one production workflow, not as a chat that describes a graphic you still have to build elsewhere.
Infographic Maker uses Google Search and Google Scholar to find citable figures, Google Images for style references, and image generation to produce the graphic at the target aspect ratio. Google Drive, Dropbox, and Notion hold spreadsheets, brand palettes, and briefs in the same thread; speech-to-text captures a spoken Story or LinkedIn brief. The chain is topic or data in, researched hierarchy, channel-ready visual out.
Template tools give you a layout to fill. Infographic Maker does the editorial work first: research when you lack data, a single-message hierarchy, chart selection by data relationship, and density that fits Instagram, LinkedIn, Pinterest, a blog, or print. You can still bring a brand palette or a reference image; you are briefing an information designer, not decorating a locked grid.
Yes. If you provide only a topic, Infographic Maker searches for current, citable figures, proposes a hero stat and supporting points, and puts source names in the footer. If you provide your own numbers, those stay authoritative. Claims that cannot be verified are flagged rather than published as facts.
Infographic Maker creates statistical explainers, how-to sequences, timelines, comparisons, ranked lists, hierarchies, anatomical breakdowns, flowcharts, geographic overlays, resume or bio graphics, and educational explainers. If the data set is too large for one surface, the AI recommends a series or a document instead of a crowded single image.
No. User-supplied figures are preserved faithfully and are not replaced with lookalike statistics. The AI will still apply hierarchy — one hero stat, supporting proof, quiet sources — but the values you pasted remain the values on the graphic.
Accuracy depends on the inputs and the sources: researched data is attributed, and user data is preserved. The AI favors direct labels, limited palettes, a second cue besides color, and contrast in the range used for readable charts (about 4.5:1 on text and 3:1 on graphic objects). For client-critical type, treat the image as a composition pass and do a final label check in your editor; short, bold labels render more reliably than long paragraphs.
Yes. Infographic Maker has full feature parity across web, iOS, and Android, including speech-to-text for spoken briefs and synced conversation history. Story, Reel-cover, and on-the-go LinkedIn graphics are a normal workflow, not a cropped desktop leftover.
Infographic Maker will say so. A social graphic holds a handful of points; past about fifteen stats, the honest move is a series or a document rather than a 15-stat poster squeezed into an Instagram square. Ask for a companion piece, or split two messages into two graphics, instead of forcing equal-weight clutter.
Yes. Name the layer that is wrong. Content, structure, mood, type, color, and icons can move independently, so a palette shift to warm coral and cream does not rewrite the copy or reshuffle sections. Preserve what already works and change only the layer that failed the review.
Use Infographic Maker as a communication draft, not as professional advice. Legal, medical, and financial figures should be verified against primary sources before the graphic ships. The AI will attribute researched numbers and keep your supplied values, but it does not replace a qualified review of regulated claims.
Infographic Maker is part of Jenova, the most powerful AI agent platform in the world. Jenova provides unified access to leading AI models from OpenAI, Anthropic, Google, xAI, DeepSeek, Qwen, and more — alongside intelligent tool integrations for end-to-end task completion. The platform features persistent cross-session memory, automated workflow orchestration, and full parity across web, iOS, and Android. Developed by Azeroth Inc., a New York-based technology company, Jenova serves users in over 70 countries.
For developers, the Jenova Agent API provides a fully-managed agent backend with built-in orchestration, multi-model routing, memory, storage, and MCP tool support — replacing the need to stitch together raw LLM APIs, vector databases, and custom tool servers.
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