GrailSnap - Privacy Policy
Last updated: March 5, 2026
Introduction
Welcome to GrailSnap, developed by Evgenii Pestrev ("we", "us"). This Privacy Policy explains what information we process when you use our iOS application and related services ("Service"), why we process it, and how you can exercise your rights.
By using the Service, you agree to this Privacy Policy. If you do not agree, please do not use the Service.
What We Process
We designed GrailSnap with privacy in mind. We do not permanently store your photos or card scans on our servers, and we do not build user profiles.
1) Photos & Card Content (User Content)
- When you scan a trading card (via photo or camera), your content is transmitted from your device through our secure proxy server and then to AI providers to identify the card and retrieve valuation data.
- We do not retain your content after processing is completed (beyond transient, short-lived caching strictly required to operate the Service).
- Our proxy server acts solely as a relay — it forwards your request to AI providers and returns the result to your device.
2) Purchase & Subscription Data
- For subscriptions and purchases, we rely on Apple (App Store) and RevenueCat.
- Data involved may include purchase receipts, subscription status, product identifiers, country/currency, and anonymous app user identifiers needed to validate entitlements.
- We do not receive your full payment card details.
3) Network & Security Metadata
- As with most online services, limited device/network metadata (e.g., IP address, user agent, request size, success/failure codes) may be processed by our infrastructure and providers solely to deliver requests, mitigate abuse, and ensure availability. We do not use this metadata to build marketing profiles.
Where Your Content Is Processed (Third-Party Providers)
To provide fast, high-quality card identification and valuation, we use vetted processors. Each provider processes data only to operate the Service and subject to its own privacy policy.
- OpenAI — AI processing for card recognition, identification, and valuation (model inference).