If you've ever had to generate hundreds of social media banners, OG images, or PDF certificates programmatically — you know how painful that workflow can get. Stitching together Canvas, Puppeteer, or headless Chrome just to render a templated image is a lot of overhead for what should be a straightforward task.
That's exactly the problem Bannx is built to solve.
What is Bannx?
Bannx is a high-volume banner, ad, and PDF automation platform. It combines a visual template editor with a developer-friendly REST API, so designers can build beautiful templates and developers can render them at scale — no browser required.
Think of it as the missing link between your design system and your backend.
Key Features
🖼️ Visual Template Editor
Bannx comes with a full-featured editor where you can create templates for:
- Social media graphics (Instagram, Twitter/X, LinkedIn)
- OG images for blogs and articles
- Ad banners
- E-commerce assets (product cards, order confirmations)
- Certificates and branded PDFs
- and more...
Variables can be bound to any element in the template, making every design data-driven from the start.
⚡ REST API for Rendering
Once your template is ready, rendering it is a single HTTP request:
curl -X POST https://bannx.com/api/render \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "pageId": "PAGE_ID", "format": "png" }'
You get back a hosted URL and metadata — ready to display, store, or pass downstream. You can also stream raw binary output with "output": "binary".
Supported export formats: PNG, JPEG, SVG, WebP, PDF
📦 Bulk Generation via CSV
Need to generate 10,000 personalized certificates or product cards? Upload a CSV and Bannx handles the rest. Each row maps to a set of variable overrides — no scripting required.
🧩 Dynamic Links & Variables
Templates support per-request variable overrides, so you can pass data directly in the API call without modifying the template. Combined with template expressions (functions and conditional logic built into the binding layer), you can build surprisingly complex output from a single template.
🤖 MCP Server for AI Agents
One of the more forward-looking features: Bannx ships with an MCP (Model Context Protocol) server, which means AI coding agents like Claude, Cursor, or Codex can generate design assets natively as part of an agentic workflow. This is a big deal for teams building AI-powered content pipelines.
☁️ BYO Storage
On Team and Scale plans, you can connect your own AWS S3 or Google Cloud Storage bucket. Renders go straight to your infrastructure — no vendor lock-in on the asset side.
🔗 Webhooks
Fire callbacks after a render completes, when an upload finishes, or to log events. Great for integrating Bannx into larger pipelines (think: Zapier, n8n, or your own event bus).
Pricing at a Glance
Bannx uses a credit-based model where each image render or PDF page = 1 credit.
| Plan | Credits/mo | Price | Highlights |
|---|---|---|---|
| Free | 25 | $0 | Great for testing |
| Starter | 1,000+ | from $15/mo | Individuals & side projects |
| Team | 25,000+ | from $95/mo | Collaboration + BYO storage |
| Scale | 250,000+ | from $350/mo | High-volume production |
Who Is This For?
Developers building content pipelines, SaaS products, or internal tooling that needs to generate visual assets programmatically. If you've ever reached for Puppeteer just to screenshot a styled HTML template, Bannx is a cleaner path.
Designers who want their templates to actually be used at scale — without handing off a Figma file and hoping engineering implements it faithfully. You own the template; the API does the rest.
Full-stack teams that need both a great editor and a solid API. Bannx doesn't force you to choose.
Getting Started
- Sign up for a free account at bannx.com
- Create or pick a template from the library
- Generate an API key under Settings > Space > Developers
- Make your first render with a simple POST request
- Check out the full API docs for rendering guides, variable overrides, webhooks, and MCP integration
Have you tried Bannx or something similar in your stack? I'd love to hear how your team handles programmatic image generation — drop a comment below!
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