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These are the best starting places to locate spectra for your compound. You will find more spectroscopy resources, including print collections (like Aldrich) and online textbooks, on the Spectra guide.
Key Databases for Locating Spectra
SDBS - Spectral Database for Organic Compounds
[Free] Spectra for 34,600 organic compounds, mostly FT-IR (54K), MS (25K), 13C-NMR (14K), and H-NMR (16K), and Raman (3.5K) Good for an initial quick search.
Largest online collection of spectra at UCSD: 1.4 million experimental (MS, IR, 13C-NMR, H-NMR) spectra for 983K compounds, and 109 million predicted H-NMR and 13C-NMR spectra.
**Search for your substance in SciFinder, then through the substance record see what spectra are available. First-time users will need to register for a SciFinder account
Literature references for spectra for many of the 29 million substances indexed. From the substance record, select Spectra for NMR, IR, Mass, UV/VIS, Raman, Fluorescence and more.
**There are no actual spectra, but you will get references to journal articles where you will find spectra, along some additional information like solvents.
[Free] Hundreds of thousands of spectra, including NMR, IR, Raman, UV-Vis, and Mass. Search by chemical name, CAS-RN, or InChiKey. You can upload and overlay your own spectrum for comparison.
SpectraBase is free from Bio-Rad Laboratories, but registration is required to view full records or overlay spectra. Also some advertisements from Bio-Rad will display, and you may have to wait a few seconds before proceeding to the next screen.
NIST Chemistry Webbook
[Free] 16K gas phase IR spectra, 15K mass spectra, and 1.6 UV/Vis spectra.
Properties of Organic Compounds
Property data and numerical MS, UV and IR peaks for 29,000 organic compounds, with references to the handbooks where the spectra can be located. No actual spectra, but you can get NMR chemical shifts, imass spectral peaks and intensities, and peak values for IR, Raman, and UV/Vis.
[Free] Search for NMR spectra, structures and properties of organic compounds. Also allows for spectrum prediction and submission of NMR shift datasets for peer review.