Bead pattern recognition
Have a bead pattern but can't edit it? We specialize in turning it into an editable pattern.
Screenshots or pattern images someone sent you both work. GOGO recognizes the grid and each cell's color code, then you proof and refine it.
Five steps to an editable pattern
Recognition is more accurate only when the grid is aligned to the pattern.
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1ImportScreenshots and pattern files from others both work -
2CropKeep only the pattern itself, or skip -
3AlignPlace the grid over the beads, then lock it -
4Proof colorsFind wrong color codes and replace them -
5FinishCheck bead counts and save to gallery
A real pattern, not just a picture
Matched to the color brand you pick.
Check the counts on the finish step. On the canvas, the color stats update as you edit.
Choose “Save and edit” to open it on the canvas, change colors or fix beads.
The free plan stores 100 patterns in the cloud.
Tested with this mascot pattern
48×50, 1,609 beads. Auto-align found the grid on its own, and the grid size and bead count both came out exact. On the first pass, 1,597 of the 1,609 cells had the right color code. The other 12 were G11 read as G12, fixed with one change in the color proofing step.
Your images never leave your computer
Recognition runs in your browser. Privacy policy →
3 credits per recognition
The free plan gives up to 120 credits a month, plus 10 when you sign up. See pricing →
Questions
What kind of images work?
Screenshots, or pattern images someone sent you. Photos taken with a phone camera can’t be recognized yet. The crop step lets you cut away everything around the pattern.
How big a pattern can it recognize?
From 10 to 300 cells per side.
What if a color is recognized wrong?
Fix it in the color proofing step, or keep editing on the canvas after you save.
Do I need an account?
Yes. Sign in, verify your email, and have at least 3 credits.
Is my image uploaded to a server?
No. Recognition runs in your browser, and your images never leave your computer.
Have a pattern image? Try it now.
3 credits per recognition.
Start recognizing