When salt solutions evaporate, deposits of intricate and often beautiful crystallisation patterns are formed which may seem random and unpredictable. But now a machine learning technique has shown how images of such patterns from aqueous inorganic salt deposits can be used to predict their chemical composition. The approach could find various uses from space exploration to deposit-identifying smartphone apps.