An index of 34,680 fragrances, each scored on the same 14 scent dimensions. Describe the scent you want, or name fragrances you already wear, and the index returns the twenty closest matches.
Turn on the dimensions that matter to you and leave the rest off. Zero is the average fragrance; move toward either end to ask for more or less of a trait.
Name up to ten fragrances you already like. The index looks for scents whose full profile correlates most strongly with theirs.
The research behind FragranceDive
Suggested citation
Moore, T. M. (2026). Mapping the language of fragrance with FragranceDive. Manuscript and supplementary materials obtained from https://fragrancedive.com. https://doi.org/10.5281/zenodo.23695788
Read Mapping the language of fragrance with FragranceDive by Tyler M. Moore, Ph.D. The manuscript and supplementary materials are combined in one PDF.
Download the primary raw questionnaire data, or use the secondary factor-score dataset used by this index. The full archive includes both datasets, methods, analysis code, audit records, and provenance documentation.