We introduce Spectro, a multi-modal approach for the spectra-to-molecule task that integrates two different spectroscopic techniques. Our method enables a more comprehensive analysis of spectroscopic data while remaining independent of databases during inference. Spectro's workflow can be described as a spectra-to-molecule translation task, composed of three main building blocks: (i) j-IR-vis, a vision model that serves as an image encoder for the IR data, (ii) a text encoder for the 1D 1 H and 13 C NMR data, and (iii) a molecule decoder that translates the embedded vectors from the IR and NMR encoders into a molecular structure. Fig. illustrates Spectro's complete workflow.