Mealie uses Conditional Random Fields (CRFs) for parsing and processing ingredients. The model used for
ingredients is based off a data set of over 100,000 ingredients from a dataset compiled by the New York Times.
Note that as the model is trained in English only, you may have varied results when using the model in other
languages. This page is a playground for testing the model.
It's not perfect, but it yields great results in general and is a good starting point for manually parsing
ingredients into individual fields. Alternatively, you can also use the "Brute" processor that uses a pattern
matching technique to identify ingredients.