Python Libraries for Language Detection

A port of Google's language-detection library that supports 55 languages and uses a probabilistic model based on character n-grams for detection^[1][2].

An easy-to-use library for natural language processing that includes language detection capabilities, relying on Google Translate's language detection API^[2][4].

A standalone language identification tool that is pre-trained over a large number of languages and is efficient for detection^[2][5].

A highly accurate language detection library that supports 75 languages and can work with both long texts and single words^[3][5].

Python bindings for Google's Compact Language Detector 2, known for high accuracy and supporting over 80 languages^[4][6].

A library developed by Facebook that supports language identification for multiple languages through a pretrained model^[4][6].

A multilingual NLP library that provides language detection for over 130 languages alongside other capabilities^[4][6].

A Python binding for CLD2 that offers fast and reliable language detection support^[6].

A comprehensive library for NLP tasks, including language detection based on statistical models^[6].

Though primarily an NLP library, spaCy also provides functionality for detecting the language of the text^[6].