Guides
Direct answers to the questions ad production actually asks — sizes, safe zones, text handling, automation.
Fixing Garbled Korean Text in AI Ads — a 3-Step Procedure
A directly applicable 3-step fix for garbled Korean in AI-generated ads: generation rules, preservation-based size adaptation, and a review order that catches what matters first.
Instagram Story & Reels Ads: Where Text Is Actually Safe — in Pixels
Stories lose the top 14% and bottom 20% to UI; Reels lose up to 35% at the bottom. Safe-area pixel values at 1440×2560 and placement rules for text and CTAs.
Bulk Banner Resizing — Cutting Size Adaptation to 10 Minutes
The right structure is "one master → batch adaptation", not "remake per size". The four requirements for bulk resize automation and an operations checklist.
Automating Banner Resize in Figma — Size Adaptation Without Leaving Your Design Tool
Where manual Figma adaptation breaks down (constraints only stretch), and the plugin flow: pick a master frame, choose placements, get platform-spec results.
Editing One Element with AI — Without Everything Else Changing
Why models repaint the whole canvas even for a small edit, and the instruction pattern that took apply-rate from 0% to 100% in our tests: location, appearance, and the after-state.
Every Image Size You Need for Meta Ads — Feed, Story, Reels, Carousel
The image sizes a Meta campaign actually needs, by placement: recommended dimensions, ratios, safe zones and carousel rules on one page.
Creative Adaptation, Versioning, Variations — Ad Production Terms, Untangled
Resize, size adaptation, creative versioning, variations, creative refresh — what each term actually means in practice, and which ones automation handles best.
Canva Magic Resize vs ImageFactory — Which Fits Ad Size Adaptation?
The structural difference: Canva Magic Resize moves an editable Canva design to another canvas; ImageFactory adapts a finished image to platform specs with safe zones applied.
Korean Banner Automation Tools Compared — VCAT, VariAid, ImageFactory
Three different starting points for the same problem: URL-based generation, spec-template tools, and finished-image adaptation. How to choose by situation.