The use of 1 H and 13 C NMR data for molecular tasks has been primarily dominated by vision models like CNNs or transformers , as well as graph neural networks for the chemical shifts prediction. In contrast to IR spectra, NMR images are more challenging given the "discrete vertical peak" shape that describes the chemical shift and multiplicity. Here, we leverage the alternative representation of 1 H and 13 C NMR spectra based on text as it provides detailed information about the chemical environment of the nuclei. For example, for the molecule 2,2,2-Trichloro-1-phenylethanol, the 1D 1 H and 13 C NMR are,