CardCheck.aiCCA photo standard
Pre-grade a Card

Capture standard

Better photos create better grade estimates.

CCA pre-grading is only as strong as the evidence in the images. Use original camera files, readable text, visible edges, and even lighting.

01

Front and back are required

Upload one complete front photo and one complete back photo. Both must show the full card and all four corners.

02

Use original high-resolution files

Do not upload screenshots, compressed marketplace images, or enlarged low-resolution files. 4K-ready images improve review confidence.

03

Remove sleeves and glare

Photograph the card outside sleeves or cases. Use soft, even light and avoid reflections over text, number, copyright line, or foil areas.

04

Add evidence views

For valuable cards, add edge, foil, texture, corner, and close-up detail photos. These views improve condition analysis and grade confidence.

Images that will be routed to recapture

Card too small in the frame Critical text is blurry Front and back appear mismatched Screenshot or web image Strong glare or shadow Upscaled low-resolution file
Pre-grade a card View sample report

Photo FAQ

Trading-card photo questions before a CCA check

Do I need front and back photos for a CCA report?

Yes. CardCheck.ai needs a complete front photo and a complete back photo so the report can compare identity cues, border wear, whitening, corners, edges, and front-back consistency.

Should I remove a card from its sleeve before photographing it?

Remove sleeves or cases when it is safe to do so because plastic glare can hide scratches, dents, whitening, and text. If removal could damage the card, use the clearest glare-free angle possible and add close-up evidence views.

Can marketplace screenshots be used for AI pre-grading?

Marketplace screenshots and compressed web images are poor evidence for pre-grading. Original camera files are preferred because they preserve detail needed for condition review and confidence scoring.

When should I add close-up or angled photos?

Add close-up or angled photos when a card is valuable, foil-heavy, textured, or likely to have corner, edge, dent, scratch, print-line, or surface-haze issues. These views help CardCheck.ai explain visible grade caps more conservatively.