AI Video Generator for E-Commerce

The catalog problem

A Shopify store with 200 SKUs needs social content for every product. Dropshippers adding 10 new items a week need videos the same day those listings go live. And if you're a DTC brand running seasonal campaigns, you probably need 30 posts queued before the month starts.

None of these people have a video production team. Most of them are doing everything themselves.

Static product photos still matter for your store pages, but they get buried on TikTok and Instagram. Short-form video is what the algorithm surfaces. The math is simple: more product videos posted, more chances for discovery. But the production cost per video has to be nearly zero or the whole thing falls apart at scale.

Small catalog vs. large catalog

How you use lowkey viral depends on how many products you're working with.

If you sell under 50 products, the dashboard is the faster path. You probably already have product photography. Create a manual brief, upload your own images, and let the AI write the hook and panel titles. Or type a prompt like "We're Nordic Haus, we sell minimalist home decor with a Scandinavian aesthetic. This post is about our new ceramic vase collection, neutral tones, clean lines." The AI gives you five brief options with hooks, then swap in your real product photos before rendering. AI-generated images are useful for concept content (mood boards, lifestyle context, collection teasers before product shots exist), but for actual products, your own photos are always better. Render a 1080x1920 MP4, post it. Photo slideshows (exported as individual JPEGs) give you carousel posts for Instagram or images for email campaigns when a product needs more than one frame.

If you sell hundreds or thousands of SKUs, the API changes the economics entirely. Connect it to your product database. When a new item gets added or a collection goes live, your system pulls the product photos and listing description, generates a brief with the AI writing hooks and titles, drops your images into the grid, and renders. The video uses your real product photography packaged in a format that performs on social. Dropshippers launching products weekly get a video the same day. DTC brands pre-generate an entire campaign's worth of content in one batch, and marketplace sellers on Amazon or Etsy can repurpose their listing photos and descriptions directly into social videos.

The API requires a PRO plan (10 req/min) or ULTIMATE plan (30 req/min). Pair it with an OpenClaw agent and the whole pipeline runs autonomously: monitor catalog changes, generate content for new items, deliver finished videos to your storage.

What actually works for product content

The 2x2 grid format maps well to how people shop. Four items in a frame invite comparison, and comparison drives engagement. Some angles that perform:

• "New arrivals this week" with one product per panel and item names overlaid
• "Top sellers this month" for social proof
• "Matte vs. glossy vs. textured vs. clear" style comparison posts that pull comments
• Pre-launch teasers showing four items from an upcoming drop

Photo slideshows (2-10 slides) work better when each product needs its own space. Gift guides and lookbooks where you want a full-slide image with a description per item, or collection launches that need more room than a grid. Export as JPEGs and use them as Instagram carousels, in email newsletters, or on your product pages.

Costs and image quality

You control the tradeoff between speed and image quality. z_image_turbo costs 1 credit per image, good enough for daily social posts. p_image and flux_2_dev cost 2 credits per image and produce more detailed results for hero content or ads. A full grid video costs 4-8 credits for images plus 1 credit to render. An AI-generated brief (which gives you 5 options) costs 2 credits.

For a store posting one grid video per day using the fastest model, that's about 5 credits a day.

Create your first product video free -- no credit card required. Or go straight to the API docs if you're ready to automate.