If you have text as strings and want to work with it, the following are available:

import os
from buzz import Corpus, Parser

Store the string as a corpus and then parse it

corpus_name = 'demo'
corpus = Corpus.from_string('First sentence. Second sentence.', save_as=corpus_name)
assert os.path.isdir(corpus_name)
loaded = corpus.parse().load()

Parse string without saving to disk

parser = Parser()
parser.run('Input text here')

Parse string, saving to disk along the way:

parser = Parser()
parsed = parser.run('Input text here', save_as='second_demo')
loaded = parsed.load()

String corpus use-cases

The main reason you might need this functionality is if you want quickly score new, unparsed documents against an existing corpus:

new_texts = ['This is a text that I want to compare to corpus.', 'This too.']
parser = Parser()
reference = Corpus('reference-parsed').load()
for text in new_texts:
    # you can also pass the raw string to `similarity`, but this might mean reloading the parser...
    parsed = parser.run(text, save_as=False)