A buyer's guide
How to choose an AI product photography tool
Most tools show you a pretty output and hope you don't ask harder questions. For a real catalog, output quality is the easy part. What decides whether a tool survives contact with a hundred SKUs is consistency, fidelity, compliance, cost, and how it treats your data.
Here are the five questions worth asking any tool before you commit, and where ioli stands on each, including where it isn't the right fit.
01
Does it hold one look across a whole catalog, or drift shot to shot?
A tool that nails one hero shot can still produce a category page where every image feels subtly off from the last. Lighting shifts, the background warms up, the mood wanders. Buyers notice, even when they can't name it. Prompt-box tools drift by design: every prompt is a fresh roll of the dice.
Ask any tool: show me ten images of different products that look like one coherent shoot.
Every image starts from a fixed recipe, surface, light, camera, composition, written once and reused. Consistency comes from the recipe holding steady, not from re-prompting and hoping.
02
Does it preserve your product, or invent details?
The failure that kills trust fastest is a tool that changes the product itself: a logo that warps, a cap that becomes a second object, proportions that shift, a label that turns to gibberish. For a catalog, the product has to survive the process unchanged.
Ask any tool: upload a product with a logo and fine detail, and check the output pixel for pixel.
ioli swaps your product into the recipe's scene rather than regenerating it from a description, so the object you uploaded is the object that ships. It's built for one connected product per shot.
03
Do the outputs actually pass marketplace rules?
Amazon and Shopify have hard image requirements, pure-white backgrounds, minimum frame fill, no props on the main image. A beautiful shot that fails the main-image rule can't be listed. Most tools never mention this.
Ask any tool: does the output pass Amazon's main-image requirements without manual rework?
ioli publishes a free Amazon image requirements checker you can run on any image, ours or anyone's, before you list. Compliance is treated as a requirement, not an afterthought.
04
What does one finished image actually cost?
Per-image cost is where AI decisively beats a studio, but the honest comparison is cost per usable, finished image, not per raw generation, and not the monthly fee divided by an optimistic image count.
Ask any tool: what's the all-in cost of one image I'd actually ship?
A finished hero shot is 10 credits. On the Pro plan that's about $0.56 a shot, and roughly $0.42 an image run as a four-shot campaign. A traditional studio shoot runs $75 to $150 per usable frame. Current prices are on the plans page.
05
What happens to the images you upload?
Your product photos are your data. It's worth knowing whether a tool retains your uploads, trains on them, or holds them longer than the job requires, especially under GDPR.
Ask any tool: are my uploads stored after the job, and are they used for training?
Uploads are used to produce your result and then discarded, not retained, and never used to train models. The full posture is on the how we handle your images page.
The honest boundary
When ioli isn't the right tool
Every image in ioli starts from a photographer's recipe, not a blank prompt box. That's the point: consistency across a catalog comes from art direction, not from typing a new prompt each time and hoping the look holds.
So if what you want is to freeform-prompt one-off experiments from scratch, a general image tool fits you better. If you want a hundred products to look like one coherent shoot, that's what recipes are for. It's worth being honest about which one you're actually doing.
The catalog is browsable without an account, and a new account starts with 30 free credits. The fastest way to answer these five questions for ioli is to run your own product through it. See the catalog or start free.