Identify
Find the exact printing using retrieval, OCR hints, and geometric verification.
Photographic pre-grading for trading cards with exact-card identification, centering, capture-quality gates, and reference-relative forensic evidence.
Use a flat, unsleeved card when possible. Keep the camera square to the card, use diffuse light, avoid heavy glare, and preserve full resolution.
No exact-reference observations are available for this scan.
Tell us how the experience felt. Feedback improves the product and camera coach; it never changes this card's grade.
CardGrade presents left/right and top/bottom balance visually. When an exact card is identified, the measurement can be anchored to a matched canonical reference rather than one universal border guess.
Find the exact printing using retrieval, OCR hints, and geometric verification.
Rectify the capture and align a clean reference using robust homography and precision refinement.
Estimate print/cut offset from reference-relative geometry instead of one generic border heuristic.
Score corners and edges using standardized forensic regions and capture-quality controls.
Build a reference-relative anomaly map while suppressing glare, illumination changes, and registration noise.
Compare evidence to a benign null and request recapture when photographic quality is insufficient.
Prototype scan IDs fingerprint the submitted image pair. Permanent physical-card identity across different photographs is a later milestone.
Accounts are optional during private alpha. Passwords are memory-hard hashed, sessions use secure cookies, and account data can be exported or deleted.
Signed-in alpha testers use the account collection across devices. Signed-out testers keep a browser-local fallback collection.
Implemented capability, synthetic engineering evidence, and real-world validation remain separate states.
Public product work and scientific validation can progress in parallel without inflating model claims.