Guided camera
✓ EVIDENCE-FIRST CARD INTELLIGENCE

See the evidence before you submit.

Photographic pre-grading for trading cards with exact-card identification, centering, capture-quality gates, and reference-relative forensic evidence.

Open guided capture →
32 regionsstandardized forensic map
Abstention firstrecapture when evidence is weak
Traceableversioned evidence chain
Smiling Bao Bun card inspector
Small bun. A closer look at what you love.Upload → inspect → evidence → stamp.
LEFT / RIGHT49.0% / 51.0%
TOP / BOTTOM50.0% / 50.0%
REFERENCE
CARD PREVIEWExact-reference centering
Exact-reference centering previewVisual measurement first, uncertainty shown when reference alignment is weak.
POKÉMONSPORTSMAGICYU-GI-OH!ONE PIECELORCANAMore card families planned
01 · CAPTURE

Upload both sides

✓ Photos are analyzed as evidence, not treated as ground truth.

Use a flat, unsleeved card when possible. Keep the camera square to the card, use diffuse light, avoid heavy glare, and preserve full resolution.

Square-onKeep all four card corners visible.
Diffuse lightAvoid sleeve haze and blown highlights.
High resolutionDo not crop away physical card edges.
ANALYSIS COMPLETE

Your evidence report

IDENTIFIED CARDIdentity not establishedCardGrade abstains if exact-match evidence is insufficient.
REFERENCE MATCHGeometric verification required
FORENSIC CAPTURENOT RUNExact reference required
LEFT / RIGHT
TOP / BOTTOM
EXACT-REFERENCE FORENSICS

Where the photograph differs

not run
A verified local canonical reference is required before exact-reference evidence can run.
ALIGNMENT
NULL PROFILE
MATERIALunknown
TOP OBSERVATIONS

Evidence, not guessed defect labels

No exact-reference observations are available for this scan.

02 · CENTERING STUDIO

Make centering understandable at a glance

REFERENCE-RELATIVE

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.

01Physical-card framePerspective correction establishes the cut boundary.
02Printed-reference alignmentInterior artwork/features align the exact printing without using the outer cut edge.
03Confidence + abstentionBad reference geometry or weak alignment yields uncertainty, not false precision.
LEFT / RIGHT49.0% / 51.0%
TOP / BOTTOM50.0% / 50.0%
REFERENCE
CARD PREVIEWExact-reference centering
03 · TECHNOLOGY

A grade should have an evidence trail

01

Identify

Find the exact printing using retrieval, OCR hints, and geometric verification.

02

Align

Rectify the capture and align a clean reference using robust homography and precision refinement.

03

Center

Estimate print/cut offset from reference-relative geometry instead of one generic border heuristic.

04

Inspect

Score corners and edges using standardized forensic regions and capture-quality controls.

05

Compare

Build a reference-relative anomaly map while suppressing glare, illumination changes, and registration noise.

06

Calibrate

Compare evidence to a benign null and request recapture when photographic quality is insufficient.

CERTIFICATE LOOKUP

Verify a CardGrade analysis

Prototype scan IDs fingerprint the submitted image pair. Permanent physical-card identity across different photographs is a later milestone.

ALPHA COLLECTION

Your recent CardGrade scans

Signed-in alpha testers use the account collection across devices. Signed-out testers keep a browser-local fallback collection.

No cards saved on this device yet.
RESEARCH TRANSPARENCY

We show what is measured—and what is not.

Implemented capability, synthetic engineering evidence, and real-world validation remain separate states.

FORENSIC ENGINEv0.16No numerical grade effect.
DINOv3CHECK STATUSOfficial checkpoint/runtime status.
REAL DEFECT CHECKPOINTNOT PROMOTEDReal rights-cleared labels still required.
PUBLIC BETABUILDINGFrontend + production infrastructure in progress.
PUBLIC BETA ROADMAP

What we are building next

Public product work and scientific validation can progress in parallel without inflating model claims.

01Production account + authentication layer
02Object storage + Postgres migration
03Real rights-cleared capture program
04DINOv3 measured reference retrieval
05Real defect checkpoint + frozen test
06Shadow-mode validation
07Billing / collection / certificate pages
08Public beta + monitoring