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In this paper we describe the FIT\textit{spec} code, a data mining tool forthe automatic fitting of synthetic stellar spectra. The program uses a databaseof 27\,000 {\sc cmfgen} models of stellar atmospheres arranged in asix-dimensional (6D) space, where each dimension corresponds to one modelparameter. From these models a library of 2\,835\,000 synthetic spectra weregenerated covering the ultraviolet, optical, and infrared region of theelectromagnetic spectrum. Using FIT\textit{spec} we adjust the effectivetemperature and the surface gravity. From the 6D array we also get theluminosity, the metallicity, and three parameters for the stellar wind: theterminal velocity ($v_\infty$), the $\beta$ exponent of the velocity law, andthe clumping filling factor ($F_{\rm cl}$). Finally, the projected rotationalvelocity ($v\cdot\sin i$) can be obtained from the library of stellar spectra.Validation of the algorithm was performed by analyzing the spectra of a sampleof eight O-type stars taken from the {\sc iacob} spectroscopic survey ofNorthern Galactic OB stars. The spectral lines used for the adjustment of theanalyzed stars are reproduced with good accuracy. In particular, the effectivetemperatures calculated with the FIT\textit{spec} are in good agreement withthose derived from spectral type and other calibrations for the same stars. Thestellar luminosities and projected rotational velocities are also in goodagreement with previous quantitative spectroscopic analyses in the literature.An important advantage of FIT\textit{spec} over traditional codes is that thetime required for spectral analyses is reduced from months to a few hours.

FIT{\it spec}: a new algorithm for the automated fit of synthetic stellar spectra for OB stars