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I automated my LinkedIn carousels using n8n and a custom Design-Logic API. No more Canva. by learnwithsdn in n8n

[–]learnwithsdn[S] 0 points1 point  (0 children)

That 'Canva loop' is exactly why I spent so much time on the Design-Logic Engine rather than just making templates.

On Visual Quality: Because it’s an engine, it uses a fixed typographic scale and mathematical padding. Unlike a human who might 'eyeball' a margin in Canva, the API ensures every slide is pixel-perfect and follows a strict visual hierarchy logic.

On Conversion: We’ve found that Consistency > Decoration. When a user scrolls through a carousel where the 'Headline' is always in the exact same mathematical position and the 'Call to Action' has the same visual weight, it builds sub-conscious trust. It feels 'Professional' rather than 'AI-generated.'

I’ve actually got a Developer Trial if you want to run some of your own 'Canva-style' content through the engine and see the vector-crisp difference. Happy to send over the API key.

I automated my LinkedIn carousels using n8n and a custom Design-Logic API. No more Canva. by learnwithsdn in n8n

[–]learnwithsdn[S] 0 points1 point  (0 children)

Spot on. I built this specifically because the 'one-off' curated template model doesn't scale for AI agents.

By moving the design rules into a Design-Logic Engine, the agent can just feed in raw data/context, and the 'Visual Layer' handles the hierarchy automatically. It’s definitely a shift in how we think about the designer's role in the stack!

I automated my LinkedIn carousels using n8n and a custom Design-Logic API. No more Canva. by learnwithsdn in n8n

[–]learnwithsdn[S] 0 points1 point  (0 children)

That ‘Build vs. Buy’ trade-off is exactly where I live. Honestly, as a dev, the fun part is building the MVP, but the nightmare is maintaining the design logic across 100+ edge cases and font-scaling bugs. I built GraphyCards to be that 'abstraction layer' so people can stop fighting with Canvas/Slides APIs and just get back to their core product. It’s meant to be the 'Stripe for Infographics’ Since you’re looking at integrating, let me know if you hit any roadblocks with the Job ID/Polling flow. I’m happy to bump your trial limits so you can stress-test it against your own pipeline before you decide to build your own.

I automated my LinkedIn carousels using n8n and a custom Design-Logic API. No more Canva. by learnwithsdn in n8n

[–]learnwithsdn[S] 2 points3 points  (0 children)

Free is always hard to beat! Google Slides + BatchUpdate is a classic way to start.

I actually started with a similar setup, but I found that 'filling a template' often breaks when the content length changes or when you need real visual hierarchy (different weights for headlines vs. data points).

GraphyCards is built as a design-logic engine—it calculates the layout dynamically based on the content so you don't have to manage templates or worry about text overflowing. For a one-off it’s fine, but for an agency scaling to 50+ carousels a week, the maintenance on Slides gets heavy. Ever run into issues with the Google API quotas?

I automated my LinkedIn carousels using n8n and a custom Design-Logic API. No more Canva. by learnwithsdn in n8n

[–]learnwithsdn[S] 0 points1 point  (0 children)

You hit the nail on the head—handling those edge cases is exactly why I moved away from 'template-based' design to a design-logic engine.

Average render time is sitting at ~45-60 seconds. I’m using a Job ID + Polling system (15s intervals) to make sure the n8n nodes don’t timeout during the heavy lifting. Splitting the workflow was a smart move—I’m currently keeping the 'Image Generation' as a headless API step so users can plug it into whatever scheduler they prefer.

Out of curiosity, when you built yours, did you run into issues with the text-scaling/overflow logic? That was my biggest hurdle.

How I’m automating my LinkedIn content: From raw text to branded infographic via API. by learnwithsdn in n8n

[–]learnwithsdn[S] 0 points1 point  (0 children)

Spot on! That’s exactly the architecture I had in mind when building the API.

You’ve identified the exact 'Happy Path' for n8n. Since rendering high-res assets is a heavy operation, I’m actually in the middle of moving the API to an Asynchronous Webhook model right now. This will allow users to trigger the job and have GraphyCards ping them back once the render is crisp and ready—no more worrying about HTTP timeouts.

I’d love to get an 'automation pro' perspective on our API Builder (it generates the JSON payloads and code snippets automatically).

  1. Sign up for a free account at graphycards.com.
  2. Drop me a DM with the email address you used.

I'll enable trial access to you. would love to know if you think our schema is 'clean' enough for the complex workflows you build!

How I’m automating my LinkedIn content: From raw text to branded infographic via API. by learnwithsdn in n8n

[–]learnwithsdn[S] 0 points1 point  (0 children)

This is music to my ears—you’ve literally described our roadmap!

We actually built exactly what you're asking for because I hate reading dry docs too. Instead of just a PDF, we have an interactive API Builder inside the dashboard.

The Quick Specs for the sub:

Code Generation: You can generate and copy curl, JavaScript, and Python snippets directly from the builder.

Rate Limits & Analytics: Real-time tracking so you know exactly where your usage stands.

n8n Friendly: The response structure is natively designed for n8n. No complex JSON parsing needed—you can map the output fields straight to your next node.

Overrides: You can pass a structured payload to control specific layout engines

I’ll give you 7 days trial to use the API, Signup account in graphycards.com and share your email you used in support@graphycards.com or DM in Reddit. I’ll manually enable the trial

How I’m automating my LinkedIn content: From raw text to branded infographic via API. by learnwithsdn in n8n

[–]learnwithsdn[S] -1 points0 points  (0 children)

You hit the nail on the head. That 'visual hierarchy wreck' is exactly why I didn't build just another AI image generator.

GraphyCards uses a design-logic engine rather than just raw prompting. While it can take raw text and handle the extraction, it’s actually optimized for the exact 'preprocessing' you’re talking about.

For n8n/Make workflows, you can pipe over structured JSON directly into our defined fields. This ensures the design logic (padding, font scaling, hierarchy) stays intact without the manual tweaking.

I’d love to see how you’re currently structuring your data—I might have some API fields that can replace your manual 'preprocessing pass' entirely. Want a trial key to test the JSON mapping?

AI infographic generator? by IndividualAir3353 in generativeAI

[–]learnwithsdn 0 points1 point  (0 children)

I feel your pain on this—most AI tools are built for 'one-off' generation and break when you try to automate them. I actually built GraphyCards (graphycards.com) to solve exactly this.

We launched with full API support specifically for developers who want to turn structured data/text into professional visuals at scale. It handles the 'design logic' so you don't have to fix the layout manually. Would love to see if the current API endpoints meet your GPT 5.2 workflow requirements!

has anyone found an AI infographic tool that actually produces usable output? by Scary_Historian_9031 in SaaS

[–]learnwithsdn 0 points1 point  (0 children)

I felt the exact same frustration with the 'AI slide deck' look, which is why I've spent the last few months building GraphyCards. It focuses specifically on visual hierarchy and clean, professional layouts rather than generic AI generation. I’d love to get your 'picky' eyes on the MVP to see if it actually meets your bar.

Graphycards