Capture
Front and back are mandatory. Corner close-ups and angled surface photos improve grade confidence.
cardcheck.ai
Upload high-resolution photos and get an AI-assisted grade range, condition breakdown, and submit-or-skip recommendation before you spend money mailing your card.
Back-edge whitening and front centering risk make a PSA 10 outcome unlikely from the uploaded photos.
CardCheck.ai is built for one practical decision: should this raw card be submitted for grading, sold raw, or kept in the collection?
Pre-grading flow
Front and back are mandatory. Corner close-ups and angled surface photos improve grade confidence.
The system reads name, set, number, language, year, and variant signals before estimating value impact.
Centering, corners, edges, and visible surface issues are scored with conservative confidence boundaries.
The report recommends skip, maybe submit, or strong candidate based on grade range and grading economics.
Pre-grading report
Every check produces a record with card identity, photo quality, estimated grade range, condition breakdown, submit recommendation, limitations, and a QR link.
Trust model
The product refuses poor photos and asks for recapture instead of manufacturing a grade from weak inputs.
Online checks are positioned as AI-assisted estimates, not official PSA, BGS, CGC, SGC, or TAG results.
Collectors can upload final grading results later, helping calibrate predicted ranges against real outcomes.
Launch offer
Free checks tell collectors whether photos are usable. Paid reports add grade range, condition explanation, and submit-or-skip guidance.
Photo quality check, basic identity, and recapture guidance.
Estimated grade range, condition breakdown, and submit recommendation.
Monthly credits, report library, and ROI tools for frequent submissions.
Batch pre-screening, CSV export, and team workflow for sellers.