Animal and vegetable oils can be easily found commercially in various forms, especially in the form of capsules. However, studies show that the internal contents of oil capsules have been adulterated and do not reflect the labels. The aim of this study was to propose the use of near infrared spectroscopy (NIRs) for the differentiation of intact oil capsules. Samples of different oil capsules were purchased in local commerce and analyzed by NIR and gas chromatography. The Principal Component Analysis (PCA) was used to evaluate the separation obtained for comparison between the analyzes. The PCA was applied to the chromatograms and it needed 4 Principal Components (PCs) to explain 94.49% of the total data variance. It was possible to distinguish between three main groups; one was composed by fish oil, krill, and coconut, a mixture of borage and linseed oils, being similar in lauric, mysteric, palmitoleic, oleic, docosadienoic and docosahexaenoic acids. A second group was composed of samples of chia, copaiba, linseed and sucupira oil, which were similar in arachidic acid. A third group was composed by garlic, borage, safflower, chia, parsnips, sunflower, wheat germ, primrose, pumpkin seed and grape seed oil (being similar in stearic, oleic and gamma linolenic acids). By applying PCA in the NIR spectra of the intact oil capsules, 3 PCs were used to explain 91.25% of the total variance and the plot of PC1 vs PC2 presented separation similar to that obtained by the PCA of the chromatograms. The model only missed the separation of 3 samples from the first group and 5 from the third group. Thus, it is suggested that the discrimination of intact oil capsules can be done through NIR and chemometric methods, and can be used in the detection of frauds as a fast screening tool.