VideoPoint ‑ Fashion AI Videos

Develop by Shopify

$9.99-$99.99

/ Month

Free plan available

Effortlessly create engaging fashion videos with AI-driven templates and avatars.

Built-in analytics

Shoppable video widgets

Custom avatars

Bulk video creation

Ai-driven templates

Flat-lay garment fitting

Pdp gallery publishing

No learning curve

About VideoPoint ‑ Fashion AI Videos

Launched Jan 18, 2024

Built by Shopify

Address

Comeniusstr. 4, Dresden, 01307, DE

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Description

Create AI videos & photos for fashion PDPs, Reels, UGC, and ads with promptless templates in minutes

Create on-brand videos at a fraction of the cost and time of traditional production. AI Creator puts product data, brand book, AI models, templates, and custom avatars in one chat, in any language. Bulk-create videos for every SKU in minutes, fit garments from flat-lay photos onto avatars, and use front/back photos to avoid rear-view errors. Publish to PDP galleries and shoppable video widgets, then track video impact with built-in analytics. No learning curve: AI templates guide you end-to-end.

Create high quality AI videos and photos with ready-made templates, no prompting
Bulk generate hundreds of AI product videos for your entire catalog in minutes
Make every product more relatable with pre-made and custom on-brand avatars
Drive revenue with shoppable videos published across your storefront via widgets
Engage & convert with shoppable stories, reels, carousels, video landing pages

Pros

Effortlessly create engaging fashion videos with AI-driven templates and avatars.
Significantly reduces the cost and time compared to traditional video production.
Bulk-create videos for every SKU in minutes, enhancing productivity.
Allows fitting garments from flat-lay photos onto avatars, ensuring accurate representation of products.
Enables publishing to PDP galleries and shoppable video widgets, integrating with various marketplaces.
Includes built-in analytics to track video impact and performance.
No learning curve with AI templates guiding users end-to-end.
Supports multiple languages, increasing accessibility.
Listens to user feedback and is receptive to feature requests.