Most AI scanners take one blurry photo and hallucinate a price. Worthy AI inspects up to 5 detail shots—stitching, care tags, stamps, and hardware—cross-references real sold marketplace comps, tracks your collection's live net worth, and connects you directly with fellow collectors.
Discover, scan, organize, and connect. Worthy turns every sourcing trip and collection shelf into structured, verifiable market data.
A single photo can't tell a 1969 Big-E Levi's jacket from a modern reissue. Worthy lets you capture the full silhouette, neck care tag, red tab, and button stamps—plus type optional context—so our AI identifies the exact era, model, and variant.
Need an answer in 3 seconds? Hit Quick Scan for an instant Low / Median / High breakdown. Ready to verify before you buy or list? Tap Find Recent Sales to inspect actual sold eBay listings with dates, prices, and clickable links.
Drag and drop items into custom folders—Cards, Books, Vintage Denim, Electronics—and watch your total portfolio valuation update in real time.
Browse the live Public Feed of graded Pokémon slabs, vintage denim, rare books, and antiques discovered by the Worthy community worldwide.
Spot a grail in someone's collection? Message them directly inside Worthy to talk provenance, swap collecting tips, or strike a deal.
Search "value finder" on the App Store today and you'll see dozens of lookalike purple-icon wrappers—some even copying our exact tagline. Here is why serious resellers and collectors switch to Worthy.
Built by ad-arbitrage studios to lock users into $9.99/week subscriptions before showing a single real comp.
Engineered from the ground up for accuracy, verifiable marketplace comps, and long-term collection equity.
Every great thrift find, vintage jacket, or trading card has a story—and a real market value hidden in the details. When I started building Worthy here in the Bay Area, I wanted to solve a problem I experienced firsthand: standing in an aisle or looking at a shelf of collectibles and trying to piece together what an item was actually selling for across ten different browser tabs.
Early on, I realized that taking a single photo and asking a generic LLM "how much is this worth?" doesn't work for real collectors. The difference between a $40 denim jacket and a $220 1970s Levi's Type III is the care tag, the button stamp, and the red tab. So I built Worthy to take up to 5 detail shots plus custom context, and wired it to pull real, clickable sold comps so you never have to trust a black-box guess.
As a solo founder, I've designed, engineered, and shipped Worthy across iPhone, iPad, and Android—from the multi-image AI appraisal pipeline to drag-and-drop collection folders and real-time collector chat. Whether you're a weekend thrifter, a full-time reseller, a lifelong collector, or an investor looking for a high-velocity SF founder in consumer AI: welcome to Worthy.
Live on iOS, iPadOS, and Google Play with full-stack AI scanning, sold comp retrieval, portfolio tracking, and live chat.
Users arrive for the 3-second AI price scan; they stay to track their $10K+ collection vault and connect with other collectors.
Bridging computer vision with live secondary-market liquidity (Low / Median / High + verified sold eBay comps).
The global secondhand, vintage, and collectibles market exceeds $200B annually—yet pricing and discovery still happen on fragmented 1990s search filters.
"What is this worth?" is one of the highest-intent queries in consumer commerce. Worthy captures users at the exact moment of physical discovery—in thrift stores, estate sales, card shows, and closets.
Every scan converts into a structured asset inside the user's Collection Vault. Tracking live portfolio net worth creates deep retention that single-purpose scanner utilities cannot replicate.
By making collections discoverable in the Public Feed and enabling direct collector-to-collector chat, Worthy is laying the rails for an AI-native peer-to-peer collectibles marketplace.
Download Worthy free on iPhone, iPad, or Android and start scanning in seconds.
On a phone or tablet? Visit download.html to automatically redirect to your device's app store.