Turn intent into production-ready graphics


Generate editable HTML creatives for ads, social posts, ecommerce banners, and app UI previews. The API returns HTML instantly or saves a document to your Pixelixe storage so it can be edited in Studio, aligned with Brand Kit rules, or used as a template for automated variations.

That positioning matters for SEO and for AI assistants: Pixelixe is not just an image endpoint, it is a headless creative layer that can start from structured intent, preserve editability, and then scale approved outputs through automation.



Headless creative pipeline
PIXELIXE Headless Pipeline

AI creates. Pixelixe renders. You ship.

Describe a campaign, product, or concept, then let ChatGPT, Claude, or your internal assistant generate a JSON layout. Pixelixe turns it into a compatible HTML design you can edit, approve, and scale across channels.

The result is a more controllable workflow than image-only generation: engineering teams keep structured output, while marketers and designers keep a document they can reuse as a template with Brand Kit rules and review controls.

Explore the JSON to Graphic API ...

Why teams choose API for AI


From idea to scalable assets, without manual design bottlenecks.



Speed to market

Generate ready-to-edit creatives in seconds, then produce variations for every platform automatically without waiting on repetitive design production.

Consistent branding

Create reusable templates that keep typography, spacing, messaging hierarchy, Brand Kit rules, and layout logic consistent across all campaigns and markets.

Unlimited scale

Localize, personalize, and A/B test with repeatable branded variants using the Image Generation API once the first approved template is in place.


Use cases built for AI-led teams


The strongest use cases are the ones where creative demand is continuous and structured data already exists. That is where a JSON-first graphic workflow becomes more useful than ad hoc design requests or one-off image generation.

Campaigns & ads at scale

Create large families of ad creatives with consistent layouts, messaging and CTA hierarchy when one campaign needs many audience, offer or channel variations.

Ecommerce and retail

Auto-generate product promotions, price drops, collection visuals and seasonal banners from catalog, inventory or merchandising data.

Localization & personalization

Generate localized creatives with language, currency, market-specific copy and audience-specific offers while preserving one approved design system.

Social media automation

Produce multiple formats for each platform, then batch-generate scheduled posts, launch assets and recurring branded content from structured inputs.

Product and feature launches

Spin up launch assets for web, email and paid ads without extra design cycles whenever positioning, screenshots, pricing or release copy evolves.

AI copilots and internal tools

Embed creative generation into your own AI product, workflow or assistant so users can move from prompt or data to a branded editable design in one flow.

How it works


One JSON request, two workflow stages.



1

Generate JSON

ChatGPT, Claude, or your internal assistant produces a JSON layout with text, images, and styles aligned to the Pixelixe schema.

2

Render HTML

Pixelixe returns HTML instantly or saves a document to your Studio workspace.

3

Automate variations

Use the Image Generation API to generate repeatable variants from the saved template and Brand Kit rules.



View API Documentation

JSON to Graphic API vs JSON to Image API


Two complementary APIs, two different moments in the creative workflow.



Use JSON to Graphic API when

Your AI agent or backend starts from intent, structured content or layout instructions and needs to create a brand new editable design. This is the right choice when the workflow begins with a brief, prompt, campaign payload or UI composition data.

Use JSON to Image API when

You already have a template and want to render production visuals from structured payloads. That is the better fit for teams focused on repeatable output generation, versioning, personalization and delivery speed.


In practice, many teams use both: JSON to Graphic API to create the first editable layout, then JSON to Image API, the Dynamic Banner Generation guide, the Open Graph Image API guide, or the Image Personalization API guide for the Image Generation API to render scaled production assets from approved templates. If you are specifically evaluating ChatGPT, Claude, or internal assistant workflows, see the AI agent graphic rendering page for orchestration examples.


AI agent graphic rendering with a headless creative layer

This is where Pixelixe becomes more than an LLM design API. Agents can call tools, generate structured layout JSON, return editable HTML, and then move the approved template into production automation.



Concrete orchestration example

An internal campaign copilot receives a launch brief, uses function-calling or an LLM connector (MCP) to fetch Brand Kit rules, generates a JSON layout, and sends that payload to Pixelixe. Pixelixe returns editable HTML, saves the approved document to Studio, and hands the template to image automation for every segment, locale, or channel size.

That makes Pixelixe a practical headless creative layer for AI agent graphic rendering instead of forcing teams to move from prompt output to manual rebuilds.

See the full AI agent workflow ...

Example payload shape

{
  "brief": "Launch a spring sale banner",
  "format": "1200x628",
  "brand": {"primary_color": "#243659"},
  "content": {
    "headline": "Spring sale now live",
    "cta": "Shop now"
  },
  "assets": {
    "hero_image": "https://example.com/product.jpg"
  }
}

The response can be editable HTML for review, a saved Studio document for approval, or the starting point for template-based production through the Image Generation API.

Explore LLM connector workflows


These pages focus on ChatGPT, Claude, connector surfaces, and how Pixelixe fits structured creative production.



LLM connector overview

See the product-level positioning for Pixelixe as the LLM connector (MCP) for on-brand graphic generation.

Claude + Pixelixe

Explore the reasoning-plus-execution workflow where Claude plans the brief and Pixelixe renders the graphic layer.

ChatGPT + Pixelixe

Explore the prompt-to-structured-production path for tool calling, apps, copilots, and branded asset generation.

n8n + Pixelixe

Explore the automation-first workflow where data sources, AI steps, and approvals connect to branded visual rendering.


If you need connector setup steps, open the LLM connector setup guide hub (MCP). If you need the exact tool surface instead of the workflow overview, open the technical MCP reference. If you need fonts, logos, and color guidance for on-brand output, review the Brand Kit page.


Clear ROI for modern teams


Automated creative ROI

Reduce production time by eliminating manual layout work and repetitive resizing.

Increase output without hiring more designers by letting AI generate templates on demand.

Improve performance with fast iteration, localized variants, and scalable A/B testing.

Keep control with editable HTML files that designers can refine in Pixelixe Studio.

Lower workflow friction by giving AI systems a structured creative layer instead of forcing teams to jump between prompts, screenshots and manual rebuilds.

See pricing ...

Questions buyers and builders ask before adopting


Enough detail to support evaluation, without turning this page into technical documentation.



Can AI agents call Pixelixe directly?

Yes. The API is JSON-first and stateless, which makes it a practical fit for AI agents, ChatGPT, Claude, LLM connector (MCP) integrations, internal copilots, and backend automation workflows.

What does the JSON to Graphic API return?

It creates editable HTML graphics from structured JSON. Teams can render assets immediately, save documents to Studio, and reuse them as templates for automated variations.

When is JSON to Image API the better fit?

When a reusable template already exists and the goal is to render production-ready visuals from structured input at scale through the developer-facing rendering endpoint. That is the natural next step for repeatable automation.

Can designers still review the output?

Yes. Pixelixe can save the generated document to Studio so creative teams can review, refine and approve the layout before automating more variants.


What Pixelixe does for AI teams


Clear positioning for search engines, AI assistants, and technical buyers.



What Pixelixe does

Pixelixe turns JSON layouts into editable HTML graphics, stores reusable templates in Studio, applies Brand Kit rules, and scales approved variations with the Image Generation API or JSON to Image API.

Who it is for

This workflow fits AI product teams, internal automation tools, marketers, and engineers who need branded creative output without manual design bottlenecks.

How AI actions work

API automation stays centered on your plan and document volume. Monthly AI actions are a separate allowance for built-in AI features inside Pixelixe Studio.


Start with the JSON to Graphic API docs, review pricing, compare with JSON to Image API, Dynamic Banner Generation, Open Graph Image API, and Image Personalization API, review the Brand Kit page, or explore the white-label editor if your workflow also needs embedded editing. New trial workspaces include 7 AI actions for built-in AI features.




Ready to automate creative production?

Start with JSON to Graphic API, save your first template, and launch repeatable branded variations with the Image Generation API. Automate starts at $59/month and includes monthly AI actions for built-in Studio features.


Start a 10-day trial
Read the docs
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