Botika generates on-model fashion photos from flat garment images, replacing expensive photoshoots.
Botika is built for fashion ecommerce. Upload flat-lay or mannequin photos of clothing and it produces model-worn imagery with diverse AI models in varied poses and settings. Because it works from your actual garment images rather than text prompts, colors, patterns, and cuts stay faithful to the product. Retailers use it to expand size-inclusive, diverse catalogs without coordinating shoots, samples, or photographers.
Botika’s pipeline starts from garment images rather than text, which is why collars, seams, and prints survive generation intact. Retailers mix AI model shots with real photography, using Botika to fill size and color variants that would otherwise require multiple shoots.
Retail teams use Botika to show size-inclusive, diverse catalogs without multiplying shoot costs. Because generation is per-garment rather than per-scene, adding colorways and styles to a listing stays cheap and fast.
Botika is a paid service with per-image or subscription pricing; brands contact the team for plans and pilots.
Fashion brands and marketplaces that need model imagery at scale without the cost and logistics of photoshoots.
No free self-serve tier; Botika sells paid generation plans to brands.
Yes, Botika supports API and integration workflows for catalog automation.
General product photography tools handle any product; Botika specializes in garments on models, where fashion fidelity matters most.
A diverse library spans ages, ethnicities, and poses, with new models added regularly.
Consistency features keep model selection and styling aligned across a catalog.
Clean, well-lit garment images on simple backgrounds produce the best model shots.
Yes, pose options are available to match listing conventions and brand aesthetics.
Yes, marketplace sellers use it to standardize garment imagery across listings.
Model shots generate in minutes per garment, supporting catalog-scale production.
Batch workflows are designed for catalog scale, processing entire product lines with consistent model styling.
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