Python Libraries for Language Detection

This list highlights popular Python libraries for detecting the language of text, useful for various applications in natural language processing.

langdetect

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].

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TextBlob

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

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langid

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

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Lingua

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

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PyCLD2

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

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fasttext

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

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Polyglot

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

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cld2-cffi

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

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Natural Language Toolkit (NLTK)

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

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spaCy

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

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