
Thrift Find
AI thrift identification
0 ratings
Free
About
Discover the True Value of Thrift Store Finds
ThriftFind helps you identify valuable items at thrift stores, garage sales, and estate sales using AI-powered image recognition. Take a photo and receive information about brands, estimated values, and item details.
Key Features
Instant Item Identification
Take a photo of any item and receive detailed information including brand, category, estimated retail value, and condition assessment. Our AI analyzes clothing, accessories, home goods, and collectibles.
Smart Collection Management
Save identified items to your personal collection. Track finds, monitor total collection value, and view your thrifting history.
Native iOS Experience
Built specifically for iPhone with features you expect: pull-to-refresh on your collection, swipe-to-delete items, native share functionality, and haptic feedback throughout the app.
Detailed Item Information
Each identification includes comprehensive details: brand and manufacturer, item category and type, estimated retail value, condition assessment, era or year of production, and notable features.
Share Your Discoveries
Share item details with friends, family, or online marketplaces using the native iOS share sheet.
Perfect For
- Thrift store shoppers looking for valuable items
- Resellers researching inventory and pricing
- Vintage enthusiasts identifying collectibles
- Garage sale hunters evaluating purchases
- Anyone curious about items they encounter
How It Works
1. Take a photo of any item using your iPhone camera
2. Our AI analyzes the image and identifies key details
3. Review comprehensive information and estimated value
4. Save items to your collection for future reference
5. Share discoveries with your network
Privacy and Data
Photos and collection data are stored securely. AI analysis is performed while respecting your privacy.
Get started discovering hidden treasures with ThriftFind and turn your thrifting trips into profitable adventures.
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What's New in Thrift Find
1.0
November 21, 2025




