JavaScript is required to upload card photos and generate a CardCheck report.
CCA Report Intake
Upload evidence. Get a submit decision. Front and back photos are required. CCA checks evidence quality, reads visible card identity with GLM vision, builds a condition matrix, estimates a PSA-style range, and recommends submit, maybe, skip, manual review, or recapture.
CCA AI report
Human review
1 Upload photos Front + back
2 Identify card Name, set, number
3 Analyze condition Centering + wear
4 Build CCA Matrix Range + confidence
5 Decide Submit, maybe, skip
Checking visual review service...
CCA Matrix v1.1
How the report builds trust
Photo gate first Missing, low-resolution, or blurred evidence triggers recapture. Identity before value Name, set, number, language, and variant cues must be readable. Condition matrix Centering, corners, edges, and visible surface issues shape the range. Decision beats vanity The final output focuses on whether to submit, sell raw, keep, or skip.
CCA code
QR token
Image fingerprints
GLM status
Photo limitation Remote checks cannot fully verify dents, paper stock, thickness, weight, UV reaction, cleaning, recoloring, or microscopic print structure.