E-Commerce & Retail

Managing product photography for an online storefront is notoriously difficult. Retailers often deal with thousands of SKUs, requiring varying aspect ratios for different platforms (e.g., square for Instagram, portrait for TikTok, landscape for web banners).

Picsha AI eliminates the need to manually crop, color-correct, and strip backgrounds from millions of product shots by treating your raw assets as code.

Core Value Proposition

1. Automated Background Removal: Say goodbye to the manual pen tool in Photoshop. Upload raw photography, and let Amazon Bedrock's ML models instantly strip backgrounds out on the fly.
2. Infinite Aspect Ratios Without Storage Bloat: Never upload 10 different sizes of the same image again. Keep the high-resolution master and use Picsha's Edge delivery network to dynamically render the exact dimensions your React or Next.js app needs at request time.
3. Smart Framing: Picsha's AI can automatically detect the primary product and center it (crop="attention"), ensuring your products never look improperly cropped on a category grid.

React SDK Integration

For e-commerce frontends (like Next.js, Remix, or Vite), our @picsha-ai/react-sdk provides the native <PicshaImage> component. It automatically handles format negotiation (sending WebP to modern browsers and JPEG to legacy ones) and integrates directly with our Transformation layer.

1. The Perfect Product Grid Image

Here is how you display a uniformly padded, background-free product image on an e-commerce catalog page. Notice how we specify removeBackground={{true}} and force a pure white background on a 1:1 aspect ratio.

import { PicshaImage } from '@picsha-ai/react-sdk';

export default function ProductCard({ assetId, productName }) {
  return (
    <div className="product-card">
      <PicshaImage
        deliveryEndpoint="https://api.picsha.ai"
        assetId={assetId}
        alt={`Buy ${productName}`}
        // Dynamically size and crop
        width={600}
        aspectRatio="1:1"
        fit="contain"
        // AI background removal
        removeBackground={true}
        background="white"
        // Ensure the absolute best compression formats are used
        format="auto" 
        className="w-full h-auto rounded-lg shadow-sm"
      />
      <h3>{productName}</h3>
    </div>
  );
}

2. Generative Edits for Social Media

If you need to change the orientation of an image for a TikTok campaign but the product is cut off, you can use generative AI to physically expand the product shot on the fly using outpainting.

<PicshaImage
    deliveryEndpoint="https://api.picsha.ai"
    assetId={assetId}
    aspectRatio="9:16"  // TikTok / Reels ratio
    fit="cover"
    generativeFill="realistic product studio background" // Outpaint the blank areas
    format="webp"
/>

[!NOTE] Integrating this approach ensures your Next.js e-commerce app maintains a 100/100 Lighthouse performance score by completely offloading heavy image manipulation and storage to the Picsha Edge. For more React components, see the React SDK Reference page.