Metadata-Version: 2.1
Name: talkgooder
Version: 1.0.3
Summary: Smooth out grammar, punctuation, and number-related corner cases when formatting text for human consumption
Maintainer-email: Brian Warner <brian@bdwarner.com>
Project-URL: Homepage, https://bdwarner.com/talkgooder/
Project-URL: Documentation, https://bdwarner.com/talkgooder/
Project-URL: Repository, https://github.com/brianwarner/talkgooder
Project-URL: Issues, https://github.com/brianwarner/talkgooder/issues
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Text Processing :: Linguistic
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.md

# Talk Gooder

`talkgooder` attempts to smooth out grammar, punctuation, and number-related corner cases when formatting text for human consumption. It is intended for applications where you know there's a noun and are trying to generate text, but you don't know much about it.

It handles:

* Plurals
* Possessives
* Numbers to words
* "There is" vs. "There are"
* "A" vs. "An"

``talkgooder`` is currently specific to American English, but it is extensible to other languages.

Contributions are welcome at [github.com/brianwarner/talkgooder](https://github.com/brianwarner/talkgooder)!
