Description
Crop.photo is an AI-powered image editing platform built for editing product images at scale. It uses content-aware AI to detect the subject, face, and composition in each image, then applies consistent crops, resizes, margins, and backgrounds across an entire catalog using reusable recipes, without manually dragging crop boxes on every image.
Recipes are preset to retailer and channel specifications such as Amazon, Shopify, Etsy, Walmart, and Google Shopping, and a single recipe can output multiple aspect ratios in parallel, from square to portrait, landscape, and vertical, from one source image. The tool combines resize, crop, reframe, and background handling in one server-side workflow that runs on cloud infrastructure, so batches of thousands of images finish in minutes. Beyond cropping, it can generate on-model shots, product videos, and banners from recipes.
Crop.photo offers a Shopify app and web app, connects directly to stores to process full catalogs, and is built for fashion wholesale, marketplaces, D2C brands, and photo studios. It is SOC 2 compliant, free to start, and priced for teams editing at volume, with plans that scale as usage grows.
Crop.photo's Core Features
AI content-aware bulk cropping and resizing
Reusable recipes for retailer and channel specs
Multiple aspect ratios output in parallel from one image
Combined resize, crop, reframe, and background handling
On-model shot, video, and banner generation
Cloud processing of thousands of images in minutes
Shopify app and direct store connection
SOC 2 compliant, secure processing
How to use Crop.photo?
Pick or build a recipe: Choose a retailer recipe or set your own dimensions and rules.
Add your images: Upload a folder or connect your Shopify or Amazon store.
Run the recipe: The AI applies consistent crops, resizes, and backgrounds across the batch.
Download or sync: Retrieve channel-ready images or save them back to your store.
Crop.photo's Use Cases
- Catalog image prep
- Multi-channel resizing
- Shopify store automation
- Product visual generation






