Claid AI.

The catalog has repetitive requirements

Goods are often shot at different times, on different surfaces and with different sizes in the frame. Claid offers tools for processing and generating object images, as well as software automation. It is useful to evaluate through the requirements of the catalog: fields, product position, background, quality and final dimensions. A beautiful individual example does not prove the suitability of the process for the entire collection.

The platform has background removal, resolution enhancement, environment generation, and lighting work. These operations change the image in different ways. Technical normalization of the file and creation of a new scene require different acceptance criteria, especially if the photo must accurately show the item being sold.

Studio and Declarative API

A web studio is provided for manual preparation. API documentation describes a combination of operations: image enhancement, object separation, size adjustment, positioning, and color correction. This description allows you to fix a single processing rule and apply it from your own system without repeating each step manually.

Before integration, check how the files are transferred, where the result is stored and what happens when the source is incorrect. Different actions consume different amounts of resources. The web plan and API have their own conditions: the availability of trial credits for one interface does not mean constant access to all automation.

Example: three bottles of the same series

Prepare your own photos of three bottles with different labels. First, set the same canvas, fields and scale of the object, then check the cut. For the background option, choose a calm stone surface with soft light. Compare the shape of the bottle, the color of the liquid and the marking with the originals after each operation.

Check the cover, fine text and transparent areas of glass. The generic background is able to change the glare or edge of the label, even if the overall silhouette looks convincing. Collect a regular catalog version and an advertising composition next to it: this will help to adopt separate rules for each application. Do not run a large package until the errors on complex sources have been sorted out.

Credits and image accuracy checks

Claid offers trial access, subscription and enterprise options. The current table shows the different costs for background removal, improvement, subject scene and other operations. The number of finished images cannot be considered equal to the number of credits: repeated attempts and selected quality change the consumption. Check the exact limits before starting the project.

The service is associated with the Let's Enhance team, but solves a separate problem of object catalogs and automation. For client materials, agree in advance on the permissibility of generative changes, source rights and place of processing. Checking the color, shape, configuration and mandatory inscriptions should remain part of the release of each image, even if the entire technical chain is automated.

Suitable tasks

• Normalize product images under the catalog
• Create a subject environment from the original photo
• Automate image processing via API