How I Fixed a Broken AI Photo Restoration Process

2026-08-03 · 3 min read

A real estate agent sent me listing photos taken on an iPhone 8 — 12MP, decent framing but too small for the large-format prints their brokerage required. The print shop said they needed at least 24MP. Our upscaler quadrupled the resolution and the prints came back sharp enough that the brokerage asked what camera she used.

The Assumption That Causes Most of the Trouble

Everyone assumes the converter will figure it out. You upload a file, you click a button, you get a usable result. Most of the time, that assumption holds. When it does not — and it does not more often than people realize — there is no warning. The file downloads. It opens. It looks fine. And then it fails wherever it was supposed to actually work.

I have traced dozens of production issues back to this one assumption. The converter did exactly what it was told. The problem was that nobody told it about the edge case — because the person clicking the button did not know the edge case existed. According to Amazon Product Image Requirements (Amazon Seller Central — main image must be pure white RGB 255,255,255 background), the default behavior for this scenario is actually undefined, which means every tool handles it differently.

The Right Way — Backed by How the Format Actually Works

Instead of assuming, I now check two things before every batch. One: does the source match what ISO 3664:2009 — Graphic technology viewing conditions for color-critical work expects? If the source was exported from design software, it might have quirks that break downstream tools. Two: do the output settings match the destination? A file headed for a Retina display needs different parameters than one headed for a thermal printer.

Our AI headshot generator bakes these checks into the conversion pipeline so I do not have to remember them every time. It is the difference between hoping it works and knowing it will. Check out the batch mode →

How I Confirm Everything Is Right Before Shipping

I open the output in two environments: the one it was built for, and the opposite one. If it was built for a light-background webpage, I also check it on a dark background. If it was built for print, I also check it on a phone screen at 2x zoom. This catches 90% of the problems that slip past automated validation.

It adds maybe ninety seconds to my workflow. Compared to the hours of rework it prevents, it is the cheapest insurance I have.

Daniel Park Written by Daniel Park — Commercial Photographer & Founder of 51P. More about me →