Fastrometry will solve the astrometric world coordinate solution (WCS) for your images typically in a few hundred milliseconds, aside from the time required for the internal online query to the Gaia Data Release 3 astrometric database. It is based upon the algorithm developed by professional astronomers as can be read in the peer-reviewed journal article "An Algorithm for Coordinate Matching in World Coordinate Solutions." If you are new to this tool, please read the Philosophy of Use and see if a local installation would be better for your needs.
Fastrometry is not a “blind” solver, although the techniques developed for the fast solution can certainly be developed to likewise produce a very fast blind solution, which is future work. However, when a professional astronomer or a given telescope observatory requires a WCS for an image, they typically have images from an observatory which they regularly use, or, from one which they've gathered several or many images from for some observation proposal. In these normal operating conditions, it is quite rare that a professional astronomer would not know the approximate direction which the telescope was pointing for an image, and likewise the field scale would already be known approximately if not precisely. With right ascension, declination, and the field scale known to ten percent accuracy (or better in most use-cases), then the fastrometry algorithm will automatically solve the WCS in a few milliseconds. Field rotation can be a free or open parameter, but at this early stage of development the image parity must be such that, if there were zero rotation in the field, then “up” should correspond to increasing declination and “left” should correspond to increasing right ascension. With further development of the algorithm, these restrictions will likewise become released.
If you would like a local application approach which allows for much faster processing of many files on your own computer, then please use CCDLAB. CCDLAB is an image viewer, processor, and data reducer, developed by professional astronomers for scientific reduction and analysis of astronomical data. Users may also be interested in a Python implementation of the Fastrometry algorithm.