GemMint

Professional AI Trading Card Grading.

Predict your PSA and Beckett grades in under 30 seconds using advanced computer vision.

Trusted precision for collectors, dealers, and investors.

GemMint grading report for a 1989 Upper Deck Ken Griffey Jr. card

Analysis

Trusted Card Analysis

Every grading category evaluated independently with computer vision built for professional standards.

Centering

Measures left-right and top-bottom borders with sub-millimeter precision.

Corners

Detects whitening, soft tips, and structural wear on every corner.

Edges

Analyzes chipping, wear, and print line consistency along all four edges.

Surface

Identifies scratches, print defects, stains, and surface imperfections.

Print Quality

Evaluates registration, color fidelity, and factory print anomalies.

Coming Soon

Authenticity

AI-assisted counterfeit detection trained on verified authentic cards.

How it works

From photo to grade, in three steps

1989 Upper Deck Ken Griffey Jr. rookie card

Card detected

Front · Back ready

Uploading images…

Step 1

Upload your card

Capture clear front and back photos. GemMint detects the card instantly and prepares it for inspection.

1989 Upper Deck Ken Griffey Jr. rookie card
Analyzing
Live
Centering
9.5
Corners
9.0
Edges
9.5
Surface
9.0

Step 2

AI inspection

Computer vision scores centering, corners, edges, and surface independently — just like a grading lab.

Report ready18s

Predicted PSA Grade

9.5

Beckett

9.0

Confidence

94%

  • Strong centering
  • Clean surface
  • Submit to PSA

Step 3

Get your report

Receive PSA and Beckett predictions, confidence, and a submission recommendation in under 30 seconds.

Technology

Inspect every grading category

Each analysis layer isolates a different part of the card — corners, edges, centering, and surface — with lab-grade precision.

01

Corner Analysis

Pixel-level detection of whitening, rounding, and structural damage across all four corners.

  • Soft tip and whitening detection
  • Independent scoring per corner
  • Matches PSA and Beckett standards
1989 Upper Deck Ken Griffey Jr. rookie card

02

Edge Inspection

Continuous edge scanning identifies chipping, print lines, and wear with grading-lab accuracy.

  • Full perimeter edge tracing
  • Chip and print-line detection
  • Wear severity mapping
Topps Kobe Bryant rookie card

03

Centering Measurement

Precise border ratio calculations matching PSA and Beckett centering standards.

  • Left-right and top-bottom ratios
  • Sub-millimeter border precision
  • Lab-aligned centering grades
1987 Topps Bo Jackson Super Rookie card

04

Surface Scanning

Heatmap visualization of scratches, stains, and print defects invisible to the naked eye.

  • Scratch and stain heatmaps
  • Print defect highlighting
  • Surface cleanliness score
1989 Upper Deck Ken Griffey Jr. rookie card

Why GemMint

Guesswork vs. GemMint

See how pre-submission AI analysis compares to submitting cards blind.

Compare

Traditional

GemMint

Time to result

Days to weeks waiting on a lab

Under 30 seconds

Cost per decision

$20–$150+ per submission

Credit packs from $29.99

Grade insight

Guess based on experience

PSA & Beckett AI predictions

Category breakdown

Unavailable until slabbed

Centering, corners, edges, surface

Visual evidence

None before submission

Damage heatmap & annotations

Submission guidance

Trial and error

Clear submit / hold recommendation

Swipe to see full comparison →

GemMint doesn't replace PSA or Beckett — it helps you decide what's worth grading.

Pricing

Simple, one-time pricing

No subscriptions. Start with a single report or buy credits in packs — they never expire.

  • Pro Single

    1 report · one-time

    $7.99

  • Starter

    10 credits

    $29.99

  • Collector

    25 credits · best value

    $49.99

  • Dealer

    100 credits

    $199.99

New accounts include 1 free report — no card required.

FAQ

Questions collectors ask us.

Everything you need to know about GemMint grading predictions.

Know Before You Grade.

Professional AI card grading powered by advanced computer vision — predict PSA and Beckett in under 30 seconds.