Automated image generation,
done right.
An image generation API with templates, expressions, live data bindings, and experiments. One endpoint. Any scale.
No Canva. No Puppeteer fleet. No stitched stack.
Most tools promise automation.
Few can do logic.
Bannerbear, Placid, and similar tools promise to automate your marketing images — but their templates only do string replacement. The moment your content needs conditional logic, live data, or A/B testing, you end up bolting on a second service. Or three.
Pictify is a rendering engine where templates carry expressions, data bindings, and experiments as first-class features. Not a design tool with an API bolted on — a programmable engine that happens to have a designer-friendly editor.
Four ways teams use this today
Personalized, on-brand, current. Pick your use case; every one runs on the same API.
Personalized social cards
Every blog post, customer win, or launch lands as on-brand social assets — generated from the content record itself.
Dynamic product images
Catalog-scale product cards with live prices, stock-aware badges, and seasonal variants — rendered from your inventory data.
Automated OG images
Unique Open Graph image per page — rendered on first fetch, CDN-cached after. Zero build-time cost, infinite variety.
Personalized email headers
Every recipient sees their name, plan, and stats in the email hero. Open rates climb because the image is about them.
Four ways to do this.
Only one is right for you.
Honest tradeoffs. Pick on fit — not on whoever ranks #1 for this search.
DIY headless browser
Puppeteer / Playwright
"Full control. Ops-heavy. Stops scaling around 1,000 renders/day."
Design-tool APIs
Canva Connect / Figma REST
"Designer-friendly. Rate-limited. Expensive per render at volume."
AI image generators
DALL-E / Gemini / SD
"Great for novelty. Catastrophic for brand consistency."
Template-based API
Pictify · Bannerbear · Placid · RenderForm
"Design once. POST data. Repeat forever."
What sets this apart
The features Bannerbear, Placid, and RenderForm all skipped — because they're hard.
Expression engine
{{ price * 0.9 | currency }} is a first-class template feature. Conditionals, filters, nested lookups — built in.
Live data bindings
Templates fetch variables from HTTP, webhooks, or Sheets at render time. Images update when data does.
A/B experiments
Ship variants, track impressions, declare a winner — all from the same API that renders the image.
One API, many outputs
PNG, JPEG, WebP, multi-page PDF, GIF. Same template, different fileExtension.
API + no-code duality
Designers build in a visual canvas. Engineers call one endpoint. No context switch.
Agentic AI copilot
"Make a dark variant," "resize for IG Story," "generate 5 backgrounds" — step-by-step, not one-shot.
Design once in the canvas.
POST data to render.
Every text, image, and shape layer on the canvas can bind to a variable, show conditionally, or format with an expression — all configured in the UI. Your API just sends the data.
product textprice numberfeatured boolavatar_url imagecurl -X POST \
https://api.pictify.io/template/tpl_abc/render \
-H "Authorization: Bearer $PICTIFY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"variables": {
"product": "Pro plan",
"price": 49,
"featured": true,
"avatar_url": "https://cdn.you.com/a.png"
}
}'
# → { "image": { "url": "https://cdn.pictify.io/..." } }Each layer carries its own binding. The price text layer runs the | currency filter on render — 49 becomes $49.00. The "New" badge has a showWhen: featured rule, so it appears only when the flag is true. In Pictify, logic lives with the design. In Bannerbear, Placid, and RenderForm, it lives scattered across your app code.
Questions, answered.
What is automated image generation? +
Automated image generation (also called programmatic image generation or image automation) is the process of producing images programmatically from templates and structured data — instead of designing each image by hand. A template defines the visual layout with placeholders for variables (text, images, colors, counts), and an image generation API fills them in per request. The result: one design produces thousands of personalized images with a single API call.
Is Pictify a Bannerbear or Orshot alternative? +
Yes. Pictify is a drop-in alternative to Bannerbear, Placid, Orshot, RenderForm, and Dynapictures. Teams typically migrate for three reasons: (1) Pictify ships a real expression engine so logic lives in templates instead of backend code, (2) live data bindings mean images update when your data updates, and (3) A/B experiments on rendered images ship as a first-class feature. The underlying API shape is similar — swap the endpoint and the template ID and existing integrations work.
How is Pictify different from Bannerbear or Placid technically? +
Pictify templates carry logic — a real expression engine (e.g. `{{ price * 0.9 | currency }}`), conditional blocks, live data bindings, and native A/B experiments. Bannerbear and Placid treat variables as plain string replacement, so any non-trivial formatting or conditional rendering has to happen in your backend before you call their API. Pictify keeps that logic inside the template where designers can see and adjust it.
How is this different from DALL-E or Midjourney? +
AI image generators create images from text prompts — every render is unique and unpredictable. Pictify is template-based: you design once, then render a million personalized variations that all stay on-brand. Different tool for different jobs. We render your existing design with your data; AI models invent new visuals each time.
What's the cheapest way to generate images programmatically? +
Pictify has a free tier for up to a few hundred renders per month, which is enough to validate an integration. Beyond that, our per-render pricing is cheaper than running your own Puppeteer fleet (~$0.001/render vs ~$0.01 all-in when you account for compute, cold-starts, and ops) and competitive with Bannerbear/Placid/RenderForm.
Can I use automated image generation for server-side OG images? +
Yes — this is one of the most popular use cases. Render OG images on request (dynamic per blog post, product, or user profile) or pre-render them at publish time. Pictify returns a CDN-cached URL in ~800ms cold, sub-100ms warm, so dynamic OG in production is safe.
Do I need a design team to use this? +
No. Pictify ships an editor that non-technical users can operate (same ergonomics as Canva). If your team has a designer, they build the template visually. If not, you can write templates in HTML/CSS directly — the editor treats HTML as a first-class element type.
What image formats does Pictify support? +
PNG, JPEG, WebP, single-page PDF, multi-page PDF, and GIF — all from the same template. Switching formats is a `fileExtension` query parameter, not a separate product.
Can automated image generation scale to millions of renders per month? +
Yes. Pictify renders asynchronously with batch endpoints for workloads over ~100 images per request, and CDN-caches the output so repeat requests are free. Companies using it in production hit seven-figure monthly render volumes without capacity planning on their side.
Can I do bulk image generation from a CSV or database? +
Yes. Pictify ships a bulk image generation endpoint that accepts an array of variable objects and kicks off an async job — useful when you need to generate images from data in a spreadsheet, a database export, or a Year-in-Review cron. A webhook fires when the batch is complete; the payload contains the CDN URLs for every rendered image.
One API. Templates with logic. Rendering at scale.
Real expression engine
{{ price * 0.9 | currency }} is a first-class template feature — not a string you pre-format in your backend. Conditionals, filters, nested lookups, all built in.
Live data bindings
Templates connect to HTTP endpoints, webhooks, or static JSON. Images update when data updates. Nothing else in the category ships this.
API + no-code, same product
Designers build templates in a visual canvas. Engineers call one endpoint. No hand-off, no context switch, no rebuild.
A/B experiments on images
Ship variants of a template, track impressions and conversions per variant, declare a winner — all from the same API that renders the image.
One API, many outputs
PNG, JPEG, WebP, multi-page PDF, GIF. Same template, different fileExtension. No separate service for each format.
Agentic AI copilot
"Make a dark-mode variant," "resize this for Instagram Story," "generate five backgrounds." The copilot edits templates step by step, not as a single-shot generator.
Pick your use case
Every workflow below ships on the same API — with code, real examples, and a how-to.
Image Generation API
Render images from templates + variables via a single HTTP call. Curl, Node, Python code in every doc.
Automate Product Images
Render catalog-scale product cards, seasonal variants, and inventory-aware banners from one template.
Automate Social Media Images
Personalized social cards at scale — one template, thousands of variants, zero manual design work.
Automate OG Images
Dynamic Open Graph images for every blog post, product, or page — rendered on-demand from your data.
Bulk Image Generation
Generate thousands of images from a spreadsheet, CSV, or JSON batch with async jobs and webhooks.
Dynamic Image Generation
Images that change based on the request — user context, product state, time of day, anything you can bind.
Generate Images from Data
Bind templates to Google Sheets, HTTP endpoints, or webhooks. When data changes, images follow.
Personalized Images at Scale
One template × N users = N personalized images. Powers lifecycle emails, in-app onboarding, and ads.
Automate Marketing Images
Scale your marketing visuals without scaling the design team. Campaign variants, landing pages, ad creatives.
Automate Email Headers
Personalized email header images generated per-recipient — higher open rates, zero manual work.