Claid

AI image platform for product and fashion photos: cut out the item, put it in a generated scene, retouch and upscale it, through a web app or an API.

PaidBeginnerWeb

Overview

Claid is an AI image platform built around one kind of picture, the product shot. It cuts the item from its background, generates a scene around it from a text prompt, retouches, corrects colour and upscales. It comes from the team behind Let's Enhance, but is aimed at businesses. It runs as a web app and as an API that cleans up seller images as they upload.

Plans are subscriptions, billed monthly or yearly, each with a credit allowance. Credit packs can also be bought outright. A free trial gives 50 credits for the web app and 50 for the API. Claid states unused subscription credits expire at each billing month's end.

Key features

Cuts the product out of its background
Generates a scene around the item from text
Retouching & colour correction
Upscaling to high resolution
API for real-time clean-up on upload
Batch processing on the paid web plans & the API
Web app with no training needed
Free trial: 50 credits for the web app, 50 for the API

When to use

Use Claid if:

  • You sell things online and need clean, consistent product images at volume.
  • Your images come from other people. The API can clean up what sellers or users upload as it arrives.
  • You want the product in a setting you do not have to build. It generates a scene around the item from a description.
  • You have a catalog to process. The API handles batches as well as one image at a time.
  • Your photos need more than a cutout: retouching, colour correction and upscaling are the same platform.
  • You want to test it against your own products first. The trial covers both the web app and the API.

When NOT to use

Skip Claid if any of these describe you:

  • You have one photo to fix. This is a platform with credits and plans. A single-purpose background remover is quicker.
  • Your photos are personal rather than commercial. Claid is built around products, fashion and the people modelling them. Let's Enhance from the same team is the general-purpose one.
  • You want to design the listing, not only the image. Photoroom wraps the cutout in templates for sellers.
  • Your images cannot be uploaded to a service. Everything runs on Claid's servers.

Frequently asked questions

There is a free trial: 50 credits for the web app and 50 more for the API, enough to run your own product images through it. After that it is a subscription, billed monthly or yearly, with each tier carrying a credit allowance. Credit packs can also be bought outright. A business tier is quoted on request.

Yes. Claid states that unused subscription credits expire at the end of the billing period, and a new allowance is issued for the next month while the plan stays active. Credit packs bought outright last a year instead. Different operations cost different numbers of credits, so background removals go further through an allowance than generated scenes.

Same team, different audience. Let's Enhance is the general tool for enhancing and upscaling images. Claid was launched later for businesses and marketplaces, built around product photography and around an API that processes other people's uploads automatically. If you are one person with a photo, Let's Enhance is the one aimed at you.

Putting the editing inside your own shop or platform. Instead of someone opening a web app, images are sent to Claid as they are uploaded and come back cut out, corrected and consistent. That is what marketplaces use it for, since their photos come from many different sellers. Batch processing is not API-only: the paid web plans have it too.

Yes. You describe the scene you want and it generates a background around the item, which is the alternative to hiring a studio for each set. What it produces is a generated environment rather than a photograph of a real place, so only the product in the image is real.

Not for the web app, which is made to be used without training. The API is the part that needs one. It exists so images can be processed as they are uploaded, which the web app cannot do on its own.

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