Product Photography for Webshops: Studio, AI, and DIY Approaches

Product photography for a webshop means the set of images you publish on each product page: typically a clean, consistent on-white packshot of the garment, plus optional on-model or lifestyle shots that show fit and context. Online stores need these images to be uniform across the catalogue, correctly sized for the platform, and an accurate representation of the actual product.

There are three common routes to produce them: a camera studio, AI-generated images, or do-it-yourself shooting. This guide maps all three without ranking them, so you can pick the path that fits your catalogue, your stage, and your workflow. It then points to the deeper guides in this cluster when you want to go further on a specific route or platform.

What product photos online stores need

Most webshops work with a small, repeatable image set per product. The exact mix depends on the category, but for fashion and apparel it usually breaks down like this:

• On-white packshot — the garment on a clean white background, the workhorse image for grids, search results, and marketplaces. See on-white packshots explained for what this format involves.
• Ghost-mannequin (hollow-man) — the garment shown with its three-dimensional shape but no visible model or mannequin, useful for showing cut and structure.
• On-model or lifestyle — the item worn, to communicate fit, drape, and styling context.
• Detail crops — fabric texture, hardware, stitching, labels.

The two qualities that matter most across all of these are consistency (same framing, lighting, and background across the catalogue, so the grid reads cleanly) and accuracy (the image represents the real garment’s colour, shape, and proportions). Catalogue consistency — the same framing, lighting, and background across every product — tends to build trust with shoppers.

The three routes: studio, AI, and DIY

Each route reaches the same deliverable — usable product images — by a different mechanism. Here is how they differ in plain terms.

Camera studio

A studio shoot uses a photographer, lighting, and often a model or mannequin to capture the physical garment. You either book a studio and ship samples, or hire a photographer to shoot on location. The mechanism is photographic capture of the real item, which is why it requires the physical product to be present and handled.

AI-generated

The AI route starts from images you already have — your existing product or model shots — and generates new packshots from them, rather than capturing the garment with a camera. There is no reshoot and no sample shipping. Because the output is synthetic, transparency matters: at Packshot Studio, images are AI-generated and reviewed by a human before delivery, and we never present them as human studio photography. We aim for images that faithfully represent your real garment; we can’t promise every output is identical to a studio photograph, and our human review is there to catch and reject outputs that would misrepresent your product before delivery. For a closer look at this route’s mechanics, see AI vs a photo studio.

DIY

The DIY route is shooting in-house: a smartphone or camera, a lightbox or sweep, daylight or a basic light kit, and post-processing yourself. The mechanism is the same photographic capture as a studio, but run by your own team rather than a hired one. It keeps full control in-house and suits brands that want to iterate frequently on small product sets.

None of these routes is inherently the right one. The fit depends on how many products you have, how often your catalogue changes, whether shipping samples is practical, and how much in-house time you can spend.

How AI-generated packshots work, with disclosure

Because the AI route is newer, it is worth being explicit about what happens. The process takes the product images you already have, generates clean on-white packshots (and ghost-mannequin versions where relevant) from them, and a human reviews each output before it ships. There is no new photography and no sample to send.

Two points of honesty are built in. First, disclosure: the images are AI-generated, and we say so — we use “clean on-white packshots” as the neutral descriptor and never imply a human studio shoot. Second, human QC as a deliverable, not a promise: a person checks each image against the source so the output represents the real garment, but we frame fidelity as something we work toward and verify, not something we promise.

This matters beyond good manners. The EU AI Act introduces transparency duties for AI-generated content; under Article 50, providers and deployers must disclose certain AI-generated or manipulated content, with those obligations applying from 2 August 2026 (European Commission, Regulation (EU) 2024/1689). Stating clearly that product images are AI-generated is consistent with that direction of travel. Packshot Studio is operated in the EU under GDPR by LuVi ApS (Denmark), and was founded by Ludvig Isaksen, founder of the Copenhagen label FINE CHAOS.

What webshop platforms expect from product images

Whichever route you choose, the output has to satisfy your platform’s image rules. These vary by platform and marketplace, but several conventions recur across ecommerce:

• Background — many marketplaces require a pure white background for the main product image. Amazon, for example, publishes a product image requirement that the main image have a pure white background (Amazon Seller Central image standards).
• Aspect ratio — square (1:1) images are a common default for catalogue grids; some platforms accept or prefer specific portrait ratios for fashion.
• Resolution — high enough to allow zoom. Marketplaces often set a minimum longest-side pixel count for zoom to activate.
• File format and size — typically JPEG or PNG, within a stated maximum file size.
• Image count — a main image plus several alternates per product.

Because these specs differ per platform, check the documentation for the channel you sell on before you commit to an image set. If you sell on Shopify, see product photos for Shopify for platform-specific guidance.

How to choose your route

A few practical questions usually settle it:

• How big is your catalogue, and how often does it change? Frequent drops and large SKU counts favour a repeatable, low-friction process.
• Can you ship samples easily? If sending physical product to a studio is slow or costly, a route that works from existing images may suit you better.
• How much in-house time do you have? DIY trades money for time; outsourced routes do the reverse.
• What does each sales channel require? Your platform’s image rules constrain the output regardless of route.

You can also mix routes — for example, shoot lifestyle images in-house and generate on-white packshots from existing photography. The goal is a consistent, accurate, platform-compliant image set per product, by whatever path is most workable for your brand. Packshot Studio’s pricing for the AI route is indicative from DKK 39 / image; you can see pricing and get a quote for your catalogue.

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This guide was drafted with AI assistance and reviewed by a human before publication. Where it describes Packshot Studio’s own output, those images are AI-generated and reviewed by a human before delivery.