About converting .dta to SPSS
Handing a Stata dataset to an SPSS user usually means either a lossy CSV or asking them to install extra software. This converter writes a genuine .sav file that SPSS opens directly, and it keeps the parts of the file that make a dataset usable: variable labels appear in SPSS's Variable View, Stata value labels become SPSS value labels, and date variables are re-based from Stata's 1960 epoch to the SPSS date system so no date shifts by so much as a day.
Some differences between the formats are handled automatically and reported after conversion. SPSS stores long variable names through a compatibility layer of 8-character short names, which the converter generates for you while preserving the full names. Strings longer than 255 bytes are written using SPSS's very-long-string mechanism, so open-ended survey responses arrive intact. Stata's extended missing values (.a through .z) all become SPSS system-missing, and trailing spaces on text values are not preserved because SPSS pads strings with spaces by design.
The output is a standard uncompressed .sav readable by SPSS, PSPP (the free SPSS alternative), R's haven, and pyreadstat. As with every statfile.tools tool, the file is parsed and rewritten locally in your browser — nothing is uploaded, so restricted-use data stays on your machine.