We assembled 200 verified label SKUs from 12 manufacturers, measured every geometry to a ±0.005″ tolerance, and grouped products by physical layout rather than by product number. That compression turned 200 scattered SKUs into 136 Layout Families, the structural core of this database.
This is the piece that separates the Hub from a blog. It is a reference because the method is transparent and the limits are stated.
The corpus
We pulled primary-source specifications from 12 manufacturers: Avery, OnlineLabels, Uline, WorldLabel, SheetLabels, Maco, Herma, Apli, Avery-Zweckform, and the value brands Office Depot, Staples, and Amazon Basics. Every row records where the data came from and which fields, if any, were inferred.
Grouping by geometry
The key insight: label products are not organized around templates. Different SKUs from different brands map to the same physical layout. So we grouped by geometry, with a strict ±0.005″ tolerance on every field, and never merged an A4 sheet with a Letter sheet even when the labels matched. The result is that a single verified template can serve many compatible SKUs, and for the highest-volume geometries, six to nine SKUs at once.
Confidence and honesty
- Every family carries a High or Medium confidence rating.
- 18 value-brand rows are geometry-inferred from Avery cross-references and marked "unverified PDP" until spot-checked.
- A4 families with unreported margins are flagged for back-computation, not published as complete.
- Families with no fetchable template are marked "template pending" rather than faked.
We built this because we needed to solve label compatibility for our own product, and decided to do the work properly and publish it.