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CartLens

Compare prices shared by shoppers near you, before and after you buy.

FreemiumAI Agents
NBy Nzouat DevLaunched Sep 28, 2026 UTC0 comments
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Overview

CartLens is a crowdsourced price comparison app for physical stores. Before buying, shoppers scan a price tag at the shelf to see if the price is fair and where it is cheaper nearby. After checkout, they scan a receipt to check what they paid, see where it would have been cheaper, and build their history. CartLens works with any store and any category, including grocery, pharmacy, electronics, hardware and apparel. Local comparisons depend on shopper scans and are available where data exists.

Prices for the same product can differ between nearby physical stores. CartLens turns scanned price tags and receipts into local price comparisons, helping shoppers evaluate a shelf price before buying and review a completed purchase afterwards. Its shared price index, the Geospatial Lattice, is built from scans by real shoppers nearby rather than web scrapers or delivery apps.

CartLens uses AI-powered camera capture to read items and prices from receipts and price tags. It extracts product information and normalizes item names for comparison. Shoppers can check a price at the shelf, review a receipt after checkout, compare available nearby prices, and track their own price history. Features and history access depend on the plan.

Crowdsourced sharing is anonymized, on by default and easy to turn off in Settings → App Preferences → Crowdsourced Prices. Shared scans improve the Geospatial Lattice for shoppers nearby. Results depend on the amount and freshness of local data. When a trip is deleted, it is removed from the user's history and anonymized, with records retained for Lattice density, analytics and statistics. Users can choose to erase that trip's receipt image and photos. The current Privacy Policy and Terms of Service at https://www.cartlens.co/privacy and https://www.cartlens.co/terms govern data handling.

Who is it for?

Professionals, technical teams, and organizations seeking an efficient solution for cartlens.

Problem

Consumers face several challenges when shopping in physical stores: - No reliable way to compare in-store prices before or after purchasing. - Significant price differences between nearby retailers. - Promotional discounts that may still be more expensive than competitors' everyday prices. - Budgeting apps that track spending but do not evaluate whether purchases were competitively priced. - Online price comparison tools that rely on e-commerce or delivery prices instead of actual in-store shelf prices. CartLens addresses these challenges by providing transparent, data-driven price intelligence based on real shopping behavior rather than advertisements or estimated pricing.

Solution

CartLens converts shelf tags and receipts into useful price information before and after a purchase. With anonymized crowdsourced sharing enabled by default, scanned prices improve the Geospatial Lattice. Users can turn sharing off in Settings. Where matching local data is available, CartLens enables users to: - Check whether a price is fair before buying or after checkout. - Discover lower-priced nearby stores. - Identify hidden overpayments. - Compare prices across multiple retailers. - Track long-term spending performance. - Make better purchasing decisions on future shopping trips. The result is a smarter shopping experience built on transparency, community participation, and artificial intelligence.

What makes it unique

Mission To make physical shopping as transparent as online shopping by empowering consumers with accurate, AI-powered price intelligence and real-world retail data. Vision To become the world's most trusted retail price intelligence platform, helping millions of consumers make smarter purchasing decisions while creating the largest community-driven database of physical retail prices.

Screenshots

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Features

1Compare prices shared by shoppers near you, before and after you buy.
2As Featured On
3Scan.
4Compare.
5Track.

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