FindGPT vs ShopSavvy

FindGPT is a free iPhone app for identifying products shown in social media and finding where to buy them. On Instagram, users can tag @FindGPT in a comment or send it a post by direct message. They can also upload screenshots or paste product links. FindGPT identifies products in social content and returns purchase locations, current pricing and availability. If an original item is unavailable or too expensive, it surfaces alternatives with a matching style and aesthetic. Users can save and track items, compare originals with alternatives, and, according to the listing, check out directly from a social feed. The app requires iOS 15.1 or later and is sold by TUNL Inc. Its Free plan costs nothing. FindGPT supports visual search and product comparison across the web, but does not provide price tracking or price history. Privacy disclosures say photos or videos and user IDs may be linked to users.

ShopSavvy helps shoppers compare prices across retailers; the company says its coverage exceeds 100 million products. Its mobile app scans barcodes and compares store prices, while watchlists can send price-drop alerts and restock notices for items at supported retailers. Multi-retailer price history can help inform whether to buy now or wait. The desktop app adds a conversational shopping assistant for comparing products, prices, and deals. ShopSavvy also offers a Data API with product details, prices, availability, deals, reviews, and historical data across tens of thousands of retailers and sellers. Listed integrations and SDKs include Python, TypeScript, Swift, Kotlin, LangChain, LlamaIndex, and OpenAI Functions. The consumer service is described as free to use; its Free plan includes comparisons, price history, alerts, and mobile, browser, and desktop access. API plans include Starter at $49 a month, with 1,000 credits and a 14-day free trial. ShopSavvy is available on Android, iOS, web, Mac, Windows, and Linux, as well as through API and extension options. The company says it has been around since 2008.