You can use GSim (https://sourceforge.net/projects/gsim/) or Mnova trial version (http://mestrelab.com/evaluate/) for the purpose of looking into the quality of acquired spectrum. Though these are offline software, but free.
NMR1D whatyou want to evaluate? do u have carbon data means 13CNMR? or just HNMR?if you want to evaluate that your compound is novel or not or resembl to which compound you can use online website.NMRdata.com but i dont know where you belong, your university have an access to this website or not? if still you need any other help you can send me personally msg.
Mnova as Sourav Roy Choudhury suggested would be the better option to evaluate the acquired spectrum and if you have good quality spectrums then I would suggest to compare data with previously published results. Otherwise, 2D NMR is the best solution for better structural characterization.
There is no online tool that helps you guessing an unknown compound from NMR data. 13CNMR suits best for that (that is why there is NMRdata.com) but 1HNMR is quite complicated. The best advice is that you learn how to do structure elucidation based on 1D and 2D data. My advice: try the methodology explained in the Crews et al. book.
@Muhammad: Organic Structure Analysis. Phillip Crews, Jaime Rodríguez, Marcel Jaspars. This is a textbook, for all spectroscopies. But it is quite simple: Obtain the 13C-NMR data. List all chemical shifts, starting from low field to up field. Then assign a capital letter to each carbon, starting with A down to Z, in alphabetical order. Then use the HSQC to assign protons to each carbon. Take particular care for diasterotopic protons. Then take both 1D 1H and 13C spectra, and label each, using normal letters (a to z) for protons, and capital ones for carbons as you did with the list. Now translate that to the HMBC and find correlations of carbons to protons, and the COSY to find direct correlations of protons to protons. Beging to arm the puzzle with the HMBC, connecting carbons, and confirming with COSY.