EveryScan・Identifier & AI Lens

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~$350.0K/mo· 50.0K+ Installs· 4.3 ★· 5 Steps· Utilities· Reference

App Showcase: EveryScan・Identifier & AI Lens

App info

What it does

EveryScan is an AI-powered object recognition tool that turns a smartphone camera into a powerful identifier. Users can point their camera or upload a photo of virtually anything, from insects and plants to coins and food. The app then provides a detailed identification, along with relevant information, web images, and even price estimates for collectibles.

Where it shines

The app excels at delivering rich, multi-faceted results quickly. After scanning an object, such as a beetle (01:25), the app doesn't just provide a name. It also includes a critical piece of information ('Dangerous: No'), a gallery of related images, and links to web articles. For a collectible coin (03:46), it goes even further by providing an average price, user rating, and a button to browse online marketplaces, turning simple curiosity into a potential transaction.

UX highlights

Monetization & growth

Monetization is introduced very early in the user journey. After a compelling visual demo, a paywall (00:34) appears, pushing a 3-day free trial that converts to a weekly subscription. The paywall uses common tactics like highlighting a 'Best Offer' for the annual plan and framing the price on a per-week basis to make it seem more affordable. The user must subscribe to proceed, making it a hard paywall for full functionality.

Who it’s for

The app appears to be designed for curious individuals, collectors, and hobbyists. This includes coin or gem collectors who want to quickly assess value, gardeners or hikers who want to identify plants and insects, and anyone who simply wants to learn more about the objects around them. The broad range of categories makes it a versatile tool for general knowledge seekers.

Notes & opportunities

The app's reliance on uploading photos when the camera environment is 'too dark' (01:03) is a smart fallback, but it could be an area for improvement. Enhancing the camera's low-light capabilities or providing on-screen guidance to improve lighting could streamline the live scanning experience. Additionally, the settings menu (04:26) is quite basic; adding more customization options could increase user engagement over time.

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