Centering
Centering, edge whitening and a likely grade band from a flat scan — in about ten seconds.
Your photo never leaves your device. Analysis runs in your browser — we receive perceptual fingerprints, never pixels.
A tilted photo produces a tilted measurement — we will tell you rather than guess.
Drag the handles onto the four edges of the card — the whole card, nothing around it. Centering is measured from these edges, so this is the part that matters.
We would rather show you nothing than a confident wrong number.
Photo-based preliminary check — not a lab inspection, not a grade. Results depend entirely on scan quality.
We do not publish per-grade prices: no licensed source for graded sales is wired, and we will not print a number we cannot stand behind. The cells marked in territory are the grades the two measurable things allow.
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A ceiling, not a floor. This is the most the two things a scan can measure would allow. Everything in the next panel can only bring it down, never up — and corner sharpness is not assessed at all.
All unknown from a flat image. This is the half of the grade a scan can never reach — and the reason the bench exists.
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We attach the measurements from your pre-check so you have them on record. Same list that gets the first submission slots.
No spam. Unsubscribe anytime. We still never receive your image — only the numbers.
No. It is a photo-based preliminary check: centering measured from the card edges, plus an edge and corner whitening pass. It is not a lab inspection and it is not a certified grade. A grading company measures things a flat image cannot show, and may reach a very different number.
No. Your photo and its pixels stay on your device and are never stored. To identify the card, the browser sends perceptual fingerprints and, if you use number recognition, a short printed card number to this site. Emailing a result sends the measured numbers and catalogue identity, never the image.
Centering is measured in pixels from your scan, so it is as accurate as your scan is flat, square and cropped to the card. Whitening is a count of near-white pixels along the edges, which catches obvious wear and misses subtle wear. When the image is tilted, uncropped or not a card, we refuse to output numbers rather than guess.