Background: The genus Streptococcus is 1 of the dominant bacterial groups in human milk, but the taxonomic identification of some species remains difficult. Objective: The objective of this study was to investigate the discriminatory ability of different methods to identify streptococcal species in order to perform an assessment of the streptococcal diversity of human milk microbiota as accurately as possible. Methods: The identification of 105 streptococcal strains from human milk was performed by 16S rRNA, tuf, and sodA gene sequencing, phylogenetic analysis, and Matrix Assisted Laser Desorption Ionization-Time of Flight (MALDI-TOF) mass spectrometry. Results: Streptococcus salivarius, Streptococcus mitis, and Streptococcus parasanguinis were the streptococcal dominant species in the human milk microbiota. Sequencing of housekeeping genes allowed the classification of 96.2% (16S rRNA), 84.8% ( sodA), and 88.6% ( tuf) of the isolates. Phylogenetic analysis showed 3 main streptococcal clusters corresponding with the mitis (73 isolates), salivarius (29), mutans (1)-pyogenic (2) groups, but many of the mitis group isolates (36) could not be assigned to any species. The application of the MALDI-TOF Bruker Biotyper system resulted in the identification of 56 isolates (53.33%) at the species level, but it could not discriminate between S pneumoniae and S mitis isolates, in contrast to the Vitek-MS system. Conclusion: There was a good agreement among the different methods assessed in this study to identify those isolates of the salivarius, mutans, and pyogenic groups, whereas unambiguous discrimination could not be achieved concerning some species of the mitis group ( S mitis, S pneumoniae, S pseudopneumoniae, S oralis).