Binder AI: Card Grading Tool

HOW TO USE BINDER AI: Card Grading Tool the best PSA Card Scanner Grading app: 1) Snap a photo of the front and back of your trading or sports card! 2) Hit "Add Card". 3) View the results of our AI grading analysis. Have you ever wondered if a card was worth grading? Now you can check before risking your hard earned money sending your card to a grading service like PSA, Beckett (BGS), CGC, TAG, SGC, or another professional grading service! This app works for all types of trading cards! It doesn't matter if it's Pokémon, MTG (Magic the Gathering), Yu‑Gi‑Oh, Digimon, One Piece, soccer, WWE, olympics, non-sport, baseball, basketball, football, or hockey card BinderAI can grade it. Binder AI is the best PSA Card Scanner Grading app. Our app is simple and to the point. You scan your card in, AI analyzes the condition and provides detailed notes about the card, cards are sorted into "binders" by the trading card game or sport they belong to, you get to read the detailed summary to inform your decision to send your card off for grading or keep it raw. Binder AI is the best PSA Card Scanner Grading app. NOTE: AI is imperfect and there is no guarantee our grade is exactly what you'd get at any of the major grading services. Our goal is to provide you with more data to help inform your decisions. Think of it as a very close estimate provided by our sports card scanner. Over time we plan on improving the accuracy of our sports card scanner and add new features. Binder AI is the best PSA Card Scanner Grading app. If you have any ideas, questions, or concerns regarding our sports card scanner please reach out to us at [email protected] *CARD SCANNING ANALYSIS REQUIRES A SUBSCRIPTION. Title of auto-renewing subscription: "BinderAI Subscription" Length of subscription: "Weekly, Monthly, or Yearly" Price of subscription: "$1.99/week, $4.99/month, or $29.99/year" EULA: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy policy: https://app.termly.io/policy-viewer/policy.html?policyUUID=dfa48911-cf0a-4d6e-ad23-d4e81dc9abc5