Creating Infographics

The Infographic feature converts the key statistics, facts, and takeaways from your uploaded documents into a single, high-quality visual image. It’s ideal for creating shareable summaries for presentations, reports, or social media.

How to Generate an Infographic

1. Navigate to Studio and open your project.
2. Select New Infographic.
3. Configure the options:
   • Language — the target language for infographic copy. The selector now exposes the full supported language catalog used by the platform, with English selected by default.
   • Detail Level — how much information to pack in: Concise, Standard, or Detailed.
   • Orientation — Landscape, Portrait, or Square.
   • Visual Style — see Infographic Options & Styles for all options.
   • Steering Prompt (optional) — up to 500 characters to focus the AI. For example: “Focus on revenue metrics and growth percentages.”
   • Title (optional) — auto-generated if not set.
   • Source File Filter (optional) — restrict generation to specific files in the project.
4. Click Generate Infographic.

How It Works

When you submit the job, the platform:

1. Searches your documents for the most relevant statistics, data points, and key findings based on your steering prompt (or a broad search if you didn’t provide one).
2. Plans the infographic content — the AI identifies the most important figures, takeaways, and a fitting visual concept for the data.
   • If your source material contains an explicit numbered workflow or decision tree, the planner now preserves that step order and keeps branch logic attached to the correct step instead of collapsing later phases into an early summary.
3. Generates the image — using the content plan and your chosen visual style and orientation, the image is generated. The renderer now preserves the planned layout and hierarchy, so outputs vary more based on whether the source material reads like a scorecard, trend story, process flow, comparison, or concept map instead of collapsing into the same generic composition.
   • Your selected Detail Level is now treated as the controlling data-density contract. A Detailed infographic stays information-dense even if the chosen visual theme is minimal, while a Concise infographic keeps a lighter summary even when the source material could support many more modules.
   • Shape-aware art direction now pushes each layout family further visually. Process flows can use numbered wayfinding, sculpted stage cards, and decision diamonds; timelines can use cleaner ribbon motion; comparison layouts can use stronger mirrored board treatments instead of generic repeated boxes.
   • Internal production notes are stripped before rendering, and design, brand, and compliance guidance now ride a hidden render-instruction path instead of the visible-copy prompt, so planning phrases such as layout shorthand, module labels, or style-instruction wording should not appear as visible text in the final image.
   • If Validation Review is enabled, this first render is treated as a candidate and held for one additional quality check before it is finalized.
4. Verifies the content — the key data points are checked against your source documents and a grounding report is saved.
5. Optionally validates the rendered infographic — when Validation Review is enabled, the rendered image is compared against the original evidence and the planned infographic structure.
   • If the review passes, the infographic is finalized as-is.
   • If the review finds missing or incorrect representation, the platform performs one automatic image-edit correction pass before finalizing the asset.

What You Get

When the job completes, the artifact includes:

• The infographic image ready to download and use.
• A grounding report — an audit trail of the data points used and where they came from in your documents.

Variety and Control

• Auto-select now varies the underlying layout more aggressively based on the shape of your source material and audience intent.
• Data density selection is authoritative. The chosen Concise, Standard, or Detailed setting controls how many stats, supporting points, and chart modules the renderer should preserve, even when the visual theme or evidence shape would otherwise push toward a different level of packing.
• Visual theme selection now exposes a curated set of named looks instead of the older generic style labels. You can choose from Calm Research, Enterprise Diagram, Journey Ribbon, Isometric System, or Data Poster depending on whether you want a quieter evidence-first presentation, a stronger workflow diagram, a ribbon roadmap, a dimensional systems explainer, or a sharper analytical poster feel.
• Shape-aware art direction now gives process, timeline, comparison, and systems-style infographics a more intentional visual language instead of flattening everything into the same safe card treatment.
• Explicit workflows now stay in source order when the evidence clearly provides numbered steps, including decision branches such as return loops or proceed-to-next-stage outcomes.
• Prompt leakage cleanup now strips internal composition shorthand such as module names or production-note phrases before the final image prompt is sent to rendering, while non-visible design and brand guidance stay in hidden render instructions.
• Brand controls still apply, but they are translated into palette, contrast, spacing, and overall visual character rather than forcing every infographic into the same layout.
• 508-oriented readability rules still stay in force, including clearer hierarchy, stronger contrast, short labels, and less reliance on color alone.
• Validation Review adds an optional post-render quality gate for cases where the infographic needs one extra source-grounded review before it is shown.

Validation Review

• Turn Validation Review on when you want the platform to inspect the finished image against the original source-backed content before final delivery.
• The validator checks for problems such as missing evidence, incorrect relationships, omitted sections, or visual flow that no longer matches the planned infographic.
• If the first render does not pass review, the platform performs one automatic correction pass and finalizes that corrected image.
• The current implementation performs a single correction pass rather than looping through repeated revisions.
• If the validation step cannot complete, the infographic job fails instead of silently bypassing the review gate.
• While the job is running, the generation status now surfaces validation as its own step so you can see when the platform is checking the rendered infographic and when it is applying a correction pass.
• After completion, reviewed infographics expose the validation result on artifact detail, including the saved summary, findings, and validation report link when available.

Theme Guidance

• Use Calm Research for source-grounded summaries, briefings, and explainers that should feel trustworthy and restrained.
• Use Enterprise Diagram for operational workflows, approvals, handoffs, and decision trees.
• Use Journey Ribbon for timelines, phased journeys, roadmaps, and lifecycle stories.
• Use Isometric System for platform maps, product explainers, and mixed systems or analytics layouts that benefit from dimensional modules.
• Use Data Poster when you want one bold analytical focal point with compact supporting evidence.

Language Notes

• The language selector changes the visible infographic copy, labels, and supporting text generated for the final image.
• If you need the cleanest results, keep your steering prompt in English and use the language selector for the final output language.

Tip

For large, dense reports, use the Detailed level and add a specific steering prompt to get targeted output rather than a broad overview. For example: “Focus on the financial summary section.”

Advanced Usage Notes

Use these patterns to get more predictable results:

• Keep inputs specific and scoped to one intent per generation request.
• Save intermediate outputs often, especially before running major edits or regenerations.
• Use review and assignment workflows early to reduce rework late in the lifecycle.

Troubleshooting

If results are not what you expected:

• Verify source quality first (missing context, inconsistent structure, or conflicting inputs reduce output quality).
• Re-check selected options and audience/profile settings before re-running.
• If a job fails repeatedly, wait briefly and retry once; then escalate with the artifact or job context.

Frequently Asked Questions

Why did quality change between runs?

Different input context, settings, and model/runtime conditions can produce different outputs.

Should I regenerate or manually edit?

Regenerate when the core structure is wrong; manually edit when only wording, ordering, or style needs adjustment.

What is the best way to reduce iteration cycles?

Start with clear scope, run smaller batches, and use review checkpoints after each major step.