Lookbook AI

Lookbook AI turns outfit photos into shoppable product suggestions by detecting individual garments and finding visually similar items. It suits retailers that want image-led discovery and creators building commission-earning lookbooks. Its strongest use is finding alternatives by appearance, not proving that a result is the exact garment in the photo.

Overview

Lookbook AI analyzes uploaded outfit images, separates the clothing and accessories, and connects each detected item with products for sale. Its catalog covers more than 1 million products from major retailers, giving discovery searches broad potential coverage. Matching considers style, color, and silhouette, so a useful result can still differ from the photographed item.

The service has separate retailer and creator routes. Retailers can add visual search to a storefront, while creators can turn published looks into commission opportunities. Creator payouts are monthly and have no minimum, although early access is being opened one creator at a time and spots are limited.

Key features

Garment detection and visual matching

Computer vision classifies parts of an outfit, including tops, bottoms, shoes, bags, and other accessories. CLIP-based matching then searches for products with a comparable visual profile. This is well suited to inspiration-led shopping, where the shopper wants a similar look or cannot name the item. It is a poorer fit for workflows that require exact SKU recognition.

Retailer tools

A retailer can embed a white-label visual product finder with one script tag, connect a product feed for catalog syncing and updates, or integrate through the REST API. The widget works with Shopify, WooCommerce, and custom sites. Basic analytics are included in Starter; Growth adds white-label branding, unlimited searches, and API access, making it more appropriate for a live commerce operation than a small proof of concept.

Creator monetization

Creators can source looks from Instagram, TikTok, YouTube, Pinterest, and personal blogs. Purchases through a lookbook generate commission, with monthly payments and no minimum payout. The limited onboarding makes this a route to consider early rather than a broadly open creator program.

Image input

The demo accepts JPG, PNG, and WebP uploads up to 20MB. That is a clear starting point for image-based discovery, while the product output is focused on shoppable items rather than general image identification.

Pricing

Lookbook AI uses a freemium model. Starter is free and includes up to 1,000 products, 1,000 searches per month, the visual product finder widget, basic analytics, and email support. It fits a small catalog or an initial evaluation, but the product and search caps limit sustained, high-traffic use.

Growth costs $199 a month. It raises coverage to 50,000 products and removes the search quota, while adding white-label branding, REST API access, and priority support. Retailers expecting regular traffic or needing a branded, programmable integration have a clearer reason to move up; smaller stores may not need the additional capacity.

Enterprise uses custom pricing and includes unlimited products, custom model training, on-premise deployment, a dedicated account manager, and an SLA guarantee. It is the relevant tier for organizations that need private deployment, tailored models, or contractual service assurance.

Platforms

Lookbook AI is offered through a web interface, API, and self-hosted deployment. Retailer integrations cover Shopify, WooCommerce, and custom websites, with feed-based catalog updates and REST access for connected systems.

Who it's for

Retailers and marketplaces that want shoppers to search from an outfit image are the primary audience, especially teams that need an embeddable widget or API and have a substantial product feed. Fashion creators can use it to monetize looks across supported social channels and blogs. Shoppers seeking an exact visual identification should look elsewhere or treat results as suggestions rather than confirmation.

Pros and cons

• Pro: Detection covers multiple garment and accessory categories, allowing one outfit image to produce several product leads.
• Pro: More than 1 million products and feed synchronization support broad, current discovery catalogs.
• Pro: Retailers can choose a script-based widget, REST API, or self-hosted Enterprise deployment.
• Pro: Creator commissions pay monthly with no minimum payout.
• Con: Visual similarity by style, color, and silhouette does not ensure an exact match.
• Con: Starter is capped at 1,000 products and 1,000 searches per month, with only email support.
• Con: Creator access is currently limited during one-at-a-time onboarding.

Alternatives

Google Lens is the better pick for a free, broad-purpose visual search service across Android, iOS, macOS, web, and Windows, with no stated price or usage limits on its Lens page.

Pinterest Lens suits Pinterest users who want free visual search on Android, iOS, or the web; it requires a Pinterest account, and mobile camera search requires camera access.

Ecomvis is worth choosing when a smaller free allowance is enough: its free plan provides 50 AI searches per month, one website, text, voice, and image search, API access, and community support.

FindLume offers a freemium API and web service with a free option and a €99 a month Build plan for readers comparing another retailer-search platform.

i spy is a free Android and iOS option for users who want a mobile visual-search app rather than retailer infrastructure.

Pictr.ai is an alternative for a smaller embedded catalog: its free plan allows up to 50 products and 100 searches per month, with one API key and a widget carrying a “Powered by Pictr.ai” badge.

Trooply Visual Search API fits teams comparing a low-cost API starter, with a free plan covering 50 products and 1,000 API calls per month, plus image and text search.

ASOS Style Match is the straightforward free mobile alternative for shoppers already using ASOS on Android or iOS.

Verdict

Choose Lookbook AI if you are a retailer needing image-based product discovery with widget, feed, API, or self-hosted options, or a creator seeking commission from shoppable looks. Its broad catalog and garment-level matching are the main reasons to choose it. Look elsewhere when exact-item identification matters, when Starter’s quotas are too restrictive, or when you need an immediately open creator program.