Hanzi Identifier is a simple Python module that identifies a string of text as having Simplified or Traditional characters.

• GitHub: https://github.com/tsroten/hanzidentifier
• Free software: MIT license

Easy-to-use helper functions for identifying strings:

>>> import hanzidentifier
>>> hanzidentifier.has_chinese('Hello my name is John.')
False
>>> hanzidentifier.is_simplified('John说：你好！')
True
>>> hanzidentifier.is_traditional('John說：你好！')
True
>>> hanzidentifier.has_chinese('Country in Simplified: 国家. Country in Traditional: 國家.')
True

Here it is without the helper functions:

>>> hanzidentifier.identify('Hello my name is Thomas.') is hanzidentifier.UNKNOWN
True
>>> hanzidentifier.identify('Thomas 说：你好！') is hanzidentifier.SIMPLIFIED
True
>>> hanzidentifier.identify('Thomas 說：你好！') is hanzidentifier.TRADITIONAL
True
>>> hanzidentifier.identify('你好！') is hanzidentifier.BOTH
True
>>> hanzidentifier.identify('Country in Simplified: 国家. Country in Traditional: 國家.' ) is hanzidentifier.MIXED
True

hanzidentifier.identify has five possible return values:

• hanzidentifier.UNKNOWN: there are no recognized Chinese characters in the string.
• hanzidentifier.BOTH: the string is compatible with both Simplified and Traditional character systems.
• hanzidentifier.TRADITIONAL: the string consists of Traditional characters.
• hanzidentifier.SIMPLIFIED: the string consists of Simplified characters.
• hanzidentifier.MIXED: the string consists of characters recognized solely as Traditional characters and also consists of characters recognized solely as Simplified characters.

Characters that aren't found in CC-CEDICT are ignored when determining a string's identity. Hanzi Identifier uses the CC-CEDICT data provided by Zhon to identify Chinese characters.

Because the Traditional and Simplified Chinese character systems overlap, a string containing Simplified characters could identify as hanzidentifier.SIMPLIFIED or hanzidentifier.BOTH depending on if the characters are also Traditional characters.

• Install Hanzi Identifier: $ pip install hanzidentifier
• Report bugs and ask questions via GitHub Issues
• Contribute features or bug fixes