normality text cleanup

Normality is a Python micro-package that contains a small set of text normalization functions for easier re-use. These functions accept a snippet of unicode or utf-8 encoded text and remove various classes of characters, such as diacritics, punctuation etc. This is useful as a preparation to further text analysis.

WARNING: This library works much better when used in combination with pyicu, a Python binding for the International Components for Unicode C library. ICU provides much better text transliteration than the default text-unidecode.

Example

# coding: utf-8
from normality import normalize, slugify, collapse_spaces

text = normalize('Nie wieder "Grüne Süppchen" kochen!')
assert text == 'nie wieder grune suppchen kochen'

slug = slugify('My first blog post!')
assert slug == 'my-first-blog-post'

text = 'this \n\n\r\nhas\tlots of \nodd spacing.'
assert collapse_spaces(text) == 'this has lots of odd spacing.'

License

normality is open source, licensed under a standard MIT license (included in this repository as LICENSE).