Grinder setting converter
Translate a known coffee grinder setting to the closest setting on another grinder using particle-distribution data.
- Data
- Direct measurement
- Distribution similarity
- 95.1%
Distribution similarity compares four particle-size buckets. It is not a confidence score or a promise of identical taste.
Treat this as a starting point, then dial in by taste and brew behavior.
Use the result as a starting point
A direct measurement comes from a setting recorded in the dataset. An estimate sits between neighboring measurements. Neither is a promise of identical taste.
Burr alignment, calibration, wear, coffee, and grinding conditions can shift the result. Controlled grinding research has also found that temperature can change the mode and spread of a particle distribution. Finish dialing in by taste and brew behavior.
Measurements marked with quality concerns stay out of the conversion by default. If no usable match remains, the tool keeps the controls available and explains that it cannot produce a result.
Powered by the library we built
This converter runs on grinder-converter, the open-source TypeScript library we built for finer.coffee. Its source code and data are on GitHub.
For each setting, the library compares the normalized share of grounds in four particle-size buckets:
- Above 900 μm
- The coarsest measured particles.
- 600 to 900 μm
- Coarse to medium particles.
- 300 to 600 μm
- Medium to fine particles.
- Below 300 μm
- The finest measured particles.
It finds the destination setting with the smallest normalized Bray-Curtis distance. Distribution similarity is an inverse distance score, not a probability or taste score.