Magic Layers

Magic Layers turns flat client PNGs and JPEGs into named, transparent layers, which means agencies can repurpose finished creative without hunting for original source files. With per-image credit costs (2 credits per layer, minimum 4 per job), resellers can fold this variable expense into retainer pricing, turning a one-time asset delivery into an ongoing revenue stream.

Magic Layers charges 2 credits per layer with a 4-credit minimum per job. For an agency reselling this capability, the margin threshold is the point where per-image credit costs eat the retainer profit. Consider a client with 30 flat brand images needing 5 layers each: that is 300 credits, or $21.75 on the $29 Basic plan (400 credits). If the agency bundles this into a $1,800 asset refresh retainer, the credit cost is negligible. But for high-volume adaptation, say 200 images monthly, credit consumption hits 2,000 credits, forcing a $149 Studio plan ($2,400 credits) at $0.062 per credit, totaling $124. Agencies must price per-image or cap layer counts to stay above the threshold. The framework: map client asset volume and average layer count to credit burn, then set retainer or per-deliverable fees that cover the plan tier plus a 30% margin. This prevents variable costs from silently eroding project profitability.

The Optimization Ceiling Test asks one question before any image pipeline work: how much of the remaining file weight is actually recoverable, and at what quality cost? Automated compression, resizing, and WebP/AVIF conversion deliver most of their benefit in the first pass. MageCDN reports reductions up to 90 percent on unoptimized uploads, but a second pass on already-compressed assets typically returns single-digit gains while risking visible artifacts on hero imagery. For agencies, the framework separates two budgets: the automated pipeline that runs on every client asset at near-zero marginal cost, and the manual retouching reserved for premium brand work where nuance carries the retainer. Apply the test per asset class. Product thumbnails and blog imagery belong in the automated lane; campaign hero shots and packaging renders do not. The trap is treating every image as a compression problem when the client is paying for a craft problem.

The Retouch Threshold Line is the point in a visual asset pipeline where automated optimization stops adding value and human retouching starts protecting brand equity. Below the line, compression, format conversion, and resizing are commodity operations that scale without judgment: MageCDN serves images through a dual Cloudflare and BunnyCDN stack with automatic AVIF/WebP compression, cutting file sizes up to 90 percent, and Imagify handles WebP/AVIF conversion inside WordPress without manual effort. Above the line, nuance matters: skin tones, product color accuracy, compositing, and campaign-specific crops where a wrong pixel costs a client relationship. Agencies that treat the whole pipeline as one bucket either overpay for commodity work or ship flat creative. The practical move is to draw the line per client tier: automate everything below it, and route premium brand work to a named retoucher or compositing service with a defined revision cap. Magic Layers can rebuild editable layers from flat PNGs when source files are gone, but it does not replace a retoucher's eye on a hero shot.

Adopt Magic Layers only when your agency has a defined layer-based editing workflow and can pass the variable credit cost into client pricing.

Automate the optimization pipeline end to end, then keep or outsource the retouching step as a named, separately priced line item.

If your agency regularly repurposes client assets without original source files and can fold the per-image credit cost into retainer pricing, then Magic Layers is a viable buy. However, if your clients need high-volume, low-cost layer extraction, the Basic plan's 400 credits at $29/month (2 credits per layer, minimum 4 per job) may not scale, making a skip or defer more prudent.

These three sit on different rungs of the same pipeline, so the comparison is about routing work, not picking a winner. Automation handles the repetitive optimization and delivery layer where volume is high and visual nuance is low, while layer separation and retouching stay with a human because that is where brand quality is actually decided. Agencies that split the two deliberately protect margin on maintenance retainers without degrading the premium work that wins the next engagement.

A five to seven day engagement that converts flat client images into named, transparent layers, enabling creative repurposing without original source files and integrating with Photoshop, Figma, and Canva.