The other answer is wrong in a key respect - the inference that the result of process.extract was the same as fuzz.partial_ratio in one case, therefore they are doing the same thing by default.

process.extract actually uses WRatio() by default, which is a weighted combination of the four fuzz ratios. This is actually a cool functionality that empirically works pretty well across fuzzy matching scenarios.

Still, you can manually specify the string comparison function via the scorer argument to extract

Source for process.extract:https://github.com/seatgeek/fuzzywuzzy/blob/master/fuzzywuzzy/process.py

process.extractOne will return None, when the best score is below score_cutoff. So you either have to check for None, or catch the exception:

best_match = process.extractOne(text, choices_dict, score_cutoff=80)
if best_match:
    value, score, key = best_match
    print(f"best match is {key}:{value} with the similarity {score}")
else:
    print("no match found")

or

try:
    value, score, key = process.extractOne(text, choices_dict, score_cutoff=80)
    print(f"best match is {key}:{value} with the similarity {score}")
except TypeError:
    print("no match found")