Plans for SKU launch production.Plans for faster product launch production.
Monthly or annual credits for images, try-on, batch refreshes, PDP copy, and translations.Choose monthly or annual credits for image generation, try-on assets, batch refreshes, PDP copy, SEO fields, and multilingual listing content.
40 welcome credits
Try 3-6 core runs before a subscription.
Commercial use
Use outputs in listings, ads, email, and storefronts.
Cancel anytime
Monthly plans renew only until you cancel.
Image + Try-On + Content
One credit system for the full Commerce AI Production Suite.
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Subscriptions renew automatically until canceled. Credits are non-refundable.
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Questions before you subscribe
What is AIProdShot?
AIProdShot is a general ecommerce AI product photography platform. Upload one product photo and generate white-background images, transparent PNGs, lifestyle scenes, marketplace crops, ad creatives, and batch-ready launch assets.
Who is AIProdShot built for?
AIProdShot is built for marketplace sellers, Shopify teams, DTC brands, agencies, catalog operators, and ecommerce teams that need more product visuals without repeated studio shoots.
Which sales channels and platforms does it support?
AIProdShot helps prepare images for Amazon, Shopify, Etsy, TikTok Shop, Walmart Marketplace, Mercado Libre, eBay, social ads, email, and brand-owned storefronts. You should still review each output against the latest rules for the channel where you publish.
Are the white backgrounds marketplace-compliant?
The white-background workflow is designed for clean marketplace-style main images with strong product readability, controlled shadows, and consistent framing. Final compliance review remains your responsibility because channel requirements can change.
How does batch mode work?
Batch mode lets you queue multiple outputs or SKU-style variations from the same setup. Larger requests are handled behind the scenes as generation jobs so you can keep working while the results are produced.
How long does generation usually take?
Most runs finish in roughly 15 to 40 seconds, depending on queue load, selected resolution, and output count. Larger batch runs can take longer than a single-image request.