Ecomvis vs Lookbook AI

Ecomvis helps online stores make catalog products searchable through text, photos, and voice. Shoppers can use its site widget to search in plain language, or upload a photo to find similar catalog items ranked by similarity. Voice search supports over 100 languages. The dashboard tracks search volume, trending queries, usage, and quotas, and can cover multiple websites in one account. Integration guides cover Shopify, WooCommerce, Webflow, Wix, vanilla JavaScript/HTML, and custom CMS platforms. Its REST API uses JSON, requires HTTPS and a separate API key per store, and restricts keys to the registered domain. Listed upload limits are 10 MB for images and 25 MB for audio. The free plan includes 50 AI searches per month for one website. The pricing note says paid plans start at $29/mo; listed plans include Starter Monthly at $9 a month and Growth monthly at $29 a month.

Lookbook AI identifies garments in outfit photos and matches them with shoppable products. Computer vision separates outfits into items such as tops, bottoms, shoes, bags, and accessories, while CLIP visual matching compares style, color, and silhouette. The service says it searches more than 1 million products from major retailers, though a match may be relevant without being exact. Retailers can add a white-label product finder to Shopify, WooCommerce, or a custom site using a script tag, connect a product feed, or use the REST API. Creators can build lookbooks from Instagram, TikTok, YouTube, Pinterest, and personal blogs, earning commission on purchases with monthly payouts and no minimums. It is offered on the web, through an API, and as a self-hosted deployment. The Starter plan is free and allows up to 1,000 products and 1,000 searches per month. Growth is $199 a month, with up to 50,000 products and unlimited searches. The image demo accepts JPG, PNG, or WebP files up to 20MB. Creator onboarding is limited, with creators being onboarded one at a time.