GreenOnion is an AI design tool that helps Amazon sellers create complete product image sets from a few simple product photos.
Instead of writing prompts or designing each image one by one, GreenOnion analyzes your product, identifies the strongest selling points, and turns them into polished listing images, infographics, lifestyle scenes, comparison charts, and A+ Content.
It is built for sellers who want professional-looking product visuals without hiring a designer or spending hours inside complicated design tools.

I started building GreenOnion after noticing that most AI image tools can generate a nice-looking image, but they still leave the hardest part to the user: deciding what to communicate, which product features matter most, what kind of visuals to create, and how everything should work together as a complete set. GreenOnion is designed to help with both the thinking and the execution. I’ve been building it closely with real users, and a lot of the product has come directly from their feedback. I’d love to hear what you think, what you would use it for, and what would make it more useful for your own workflow.
GreenOnion AI tackles a real bottleneck for e-commerce sellers - product photography at scale. Most AI image generators produce generic outputs that don't match brand guidelines or Amazon/Etsy's specific requirements for product images (backgrounds, dimensions, lighting). GreenOnion's focus on platform-native specs means sellers aren't spending time cropping, adjusting backgrounds, or dealing with dimension mismatches. For sellers managing 100+ SKUs with seasonal variations, having a tool that generates on-brand product images in bulk cuts iteration time dramatically. The fact that it understands marketplace requirements means you're not fighting platform policies - the images work first time. For drop-shippers and resellers on tight margins, reducing the cost and time of product photography from hiring a photographer to uploading to automated generation is genuinely transformative.
GreenOnion AI has great potential and offers some useful features, but I encountered a few issues that could be improved. Please contact me so I can share detailed feedback and suggest the changes I'd like to see. Email: [email protected]

I started building GreenOnion after noticing that most AI image tools can generate a nice-looking image, but they still leave the hardest part to the user: deciding what to communicate, which product features matter most, what kind of visuals to create, and how everything should work together as a complete set. GreenOnion is designed to help with both the thinking and the execution. I’ve been building it closely with real users, and a lot of the product has come directly from their feedback. I’d love to hear what you think, what you would use it for, and what would make it more useful for your own workflow.
GreenOnion AI tackles a real bottleneck for e-commerce sellers - product photography at scale. Most AI image generators produce generic outputs that don't match brand guidelines or Amazon/Etsy's specific requirements for product images (backgrounds, dimensions, lighting). GreenOnion's focus on platform-native specs means sellers aren't spending time cropping, adjusting backgrounds, or dealing with dimension mismatches. For sellers managing 100+ SKUs with seasonal variations, having a tool that generates on-brand product images in bulk cuts iteration time dramatically. The fact that it understands marketplace requirements means you're not fighting platform policies - the images work first time. For drop-shippers and resellers on tight margins, reducing the cost and time of product photography from hiring a photographer to uploading to automated generation is genuinely transformative.
GreenOnion AI has great potential and offers some useful features, but I encountered a few issues that could be improved. Please contact me so I can share detailed feedback and suggest the changes I'd like to see. Email: [email protected]
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