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AI Video & Photo Design

Photo editing and retouching at catalogue scale

Most businesses have thousands of images that are almost right: the background is wrong, the colour is off, the crop does not fit the marketplace, a cable is in shot. Fixing them one at a time is nobody idea of a good use of a week. We handle image editing at volume, so your entire catalogue can be consistent instead of just the twenty products someone had time for.

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What is photo editing and retouching?

Photo editing and retouching is the post-production work that takes a captured image and makes it fit for its purpose. It spans a wide range: background removal and replacement, cutouts and clipping paths, colour correction so the image matches the real product, exposure and contrast adjustment, removing dust, marks, reflections and unwanted objects, straightening and perspective correction, retouching skin and fabric on model shots, compositing several images into one, and resizing and cropping to the specific dimensions each destination requires. In a business context it is rarely about making one image perfect. It is about making hundreds or thousands of images consistent, so that a category page does not look like it was assembled from five different sources, and so every marketplace gets images meeting its particular rules. That consistency is what makes a catalogue feel professionally run, and its absence is one of the clearest signals to a shopper that a store may not be entirely trustworthy.

What consistent editing does across a catalogue

Individually these fixes look trivial. Across a whole catalogue they are the difference between a store that feels professional and one that does not.

A consistent catalogue

Every product shot matched for background, colour and crop, so category pages look deliberate.

Volume that is actually feasible

Thousands of images processed in the time manual retouching would take on a few dozen.

Every channel specification met

Each marketplace, ad platform and site template gets images in exactly the format it demands.

Existing images rescued

Imperfect photography made usable, so you do not have to reshoot to fix a background.

Better conversion

Clean, consistent imagery removes the small doubts that quietly suppress conversion rate.

Nobody internal doing it

Your team stops spending evenings cutting out images and gets the finished files instead.

How our editing process works

We set the rules once, then apply them consistently across the whole set rather than image by image.

1

Audit what you have

We review your image library and identify what needs fixing and what is beyond rescue.

2

Define the standard

We agree the background, crop, colour and format rules every image will follow.

3

Process at volume

We apply the standard across the set, with human review on anything the automated pass gets wrong.

4

Deliver and maintain

Files delivered named and organised, with a process for handling new images as they arrive.

What is included in AI photo editing

The full range of image work, applied consistently across as many images as you have.

  • Background removal, replacement and clean white
  • Cutouts and clipping paths, including tricky edges
  • Colour correction and matching to the real product
  • Exposure, contrast and shadow work
  • Object, reflection and blemish removal
  • Straightening, perspective and alignment fixes
  • Model and lifestyle retouching done tastefully
  • Bulk resizing, cropping and naming per channel

The AI advantage a traditional agency cannot match

Image editing is the clearest example of work that was always necessary and never worth what it cost. Cutting out a product cleanly, especially something with hair, glass, mesh or a complex edge, was a slow manual job, and multiplying that by a catalogue of several thousand products is why so many ecommerce businesses have imagery that is merely acceptable. The usual outcome is that the top-selling products get proper treatment and everything else gets whatever the supplier provided, which is why so many category pages look like a collage. AI has genuinely solved most of this. Background removal, colour matching, upscaling, object removal, straightening and bulk reformatting now produce results that would previously have required a retoucher, in seconds rather than minutes each, which turns a multi-week catalogue project into something achievable. What has not changed is that automated processing gets a percentage of images wrong in ways that are obvious to a person and invisible to a machine, particularly on complex edges, reflective surfaces and anything where the automated cutout removes a part of the actual product. So we do not simply run a batch and hand over the output. Everything goes through human review, with the failures pulled out and handled properly, because a catalogue with a few dozen badly cut images looks worse than one that was never processed at all. The saving is real, but it comes from doing the bulk automatically and the exceptions carefully, not from skipping the checking.

Explore related growth services

Where the images come from, and where they end up working.

AI Video & Photo DesignThe full picture: video ads, short-form, editing, motion, UGC, explainers and photography.View the pillar serviceAI Product PhotographyProduct imagery for listings, ads and site, without booking a studio.Explore Product PhotographyEcommerce WebsitesOnline stores built to sell the products you are shooting.Explore Ecommerce

Frequently asked questions about photo editing and retouching

How many images can you handle?
Thousands, and the volume is genuinely not the constraint it used to be. The practical limits are the quality of the source images and the complexity of the edits rather than the count. A large catalogue of straightforward product shots needing background removal, colour matching and resizing can be processed quickly. A smaller set requiring complex compositing, difficult cutouts or careful retouching takes proportionally longer because more of it needs a person. We will look at a sample of your library first and tell you which category yours falls into, along with a realistic timeline, rather than quoting on volume alone.
What if the source images are poor?
We can improve a lot and we cannot fix everything, and it is worth knowing which is which before you commit. Exposure, colour, noise, resolution, straightness, backgrounds and minor blemishes are all substantially fixable, and upscaling has improved to the point where a low-resolution image can often be brought up to a usable size. What cannot be recovered is detail that was never captured: an out-of-focus image stays out of focus, a badly lit product with blown highlights has no information in those areas to restore, and an image that does not show the part of the product a buyer needs to see cannot be made to show it. We audit first and tell you plainly which images are worth processing and which need reshooting.
Is the editing done automatically or by a person?
Both, deliberately. The bulk processing is automated, because that is what makes catalogue-scale work affordable, and then everything goes through human review before delivery. The reason is that automated cutouts and corrections fail on a predictable minority of images, usually complex edges, reflective or transparent surfaces, and cases where the tool removes something that is actually part of the product. Those failures are obvious to a person and invisible to the process that made them. We pull them out and handle them manually. Anyone offering purely automated processing at a very low price is skipping this step, and the result shows up on your category pages.
Can you match images from different sources?
Yes, and it is one of the most valuable things we do, because most catalogues are exactly this problem. Images accumulated from different photographers, suppliers and years will vary in background tone, colour temperature, crop, shadow style and angle, and the mismatch is what makes a category page look untidy. We define one standard and bring everything to it. There are limits: images shot at very different angles cannot be made to match in framing without reshooting, and colour matching depends on there being accurate colour information in the source. We will be clear about which parts of your library can be unified and which will remain visibly different.
Do you handle model and people retouching?
Yes, and we do it conservatively by default. Retouching people is where taste and ethics both matter: removing a distracting stray hair, a temporary blemish or a lighting artefact is uncontroversial, while reshaping bodies and faces is a different thing entirely, and in several markets it now carries disclosure requirements in advertising. We will do skin, fabric, lighting and tidy-up work as standard. We will discuss anything that changes how a person actually looks rather than doing it silently, and we will tell you where the regulatory line sits in your market. If your brand has a stated position on retouching, we will work to it.
How do we send you the images and get them back?
Whatever is easiest for you, and we would rather fit your system than impose ours. Cloud storage, a shared drive, a direct export from your ecommerce platform or a file transfer service all work. What matters more than the transfer method is naming and structure, since a set of five thousand images returned with unclear names is a problem rather than a delivery. We agree the naming convention and folder structure at the start, matched to how your platform expects to ingest them, and deliver accordingly. For ongoing work we set up a repeatable process so new images follow the same route without being organised from scratch each time.

Ready for a catalogue that looks like one company?

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