Gooddni AI

Find & Shop Anything by Photo – Compare Prices & Save to Wishlists! Tired of spotting cool products on Pinterest, Instagram, or TikTok but not knowing where to buy them? Just snap a photo, upload a screenshot, and let our AI-powered shopping assistant identify the item, find the best prices, and link you to trusted stores! Why Choose Gooddni AI? Instant Visual Search – Recognize clothing, home decor, gadgets, beauty & more from any image. Smart Price Comparison – See any prices from retailers to save money. One-Tap Shopping – Buy directly or find cheaper alternatives. Organized Wishlists – Save items by category (e.g., "Outfit Inspo," "Gift Ideas" or "Home"). Wall of the Trends – Look at popular goods in any category How It Works: 1. Upload a photo/screenshot (from Pinterest, TikTok, camera roll, etc.). 2. Discover matching products & stores. 3. Compare prices & find out where to buy. 4. Shop or save to your wishlist. Perfect For: • Fashion lovers hunting Instagram outfits. • Home decorators inspired by Pinterest pins. • Shoppers who want the lowest price. Download now—stop screenshotting, start shopping! If you have any ideas or questions, please contact us at https://gooddniai.com. About Gooddni AI Unlimited - Payment will be charged to iTunes Account at confirmation of purchase - Subscription automatically renews unless auto-renew is turned off at least 24 hours before the end of the current period - The account will be charged for renewal within 24 hours before the end of the current period - Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription - Subscriptions may be managed by the user, and auto-renewal may be turned off, by going to iTunes Subscriptions after purchase Please check out the Privacy Policy, Subscribtion Terms and Terms of Use to get more information about Gooddni AI: terms - https://gooddniai.com/docs/terms_of_use.pdf subscription terms - https://gooddniai.com/docs/subscription_terms.pdf privacy policy - https://gooddniai.com/docs/privacy.pdf