Tool to detect the language of a text document (Lang Recognition). There are hundreds of languages, this tool will detect the language of a text.
Language Recognition - dCode
Tag(s) : Data Processing
dCode is free and its tools are a valuable help in games, maths, geocaching, puzzles and problems to solve every day!
A suggestion ? a feedback ? a bug ? an idea ? Write to dCode!
Language Recognition
Language Detector
Answers to Questions (FAQ)
What is language recognition? (Definition)
A language is a system of signs (characters) that enables communication between people. Language recognition (dialect or lang detection) is a process that aims to determine the language in which a text is written. It uses algorithms and statistical models to analyze the linguistic characteristics of the text and assign a specific language to it.
How to recognize/identify the language of a text?
Language recognition is mainly based on the analysis of the frequencies of words, characters and n-grams (combinations of n consecutive characters) present in the text. This data is then compared to the characteristics of the different languages to determine the most probable.
— A quick method is to detect/identify/recognize common words in a language.
Example: In English a, to, of, etc., in French, de, la, le, un, et
— Count rare characters (or missing ones) to discriminate some foreign languages
Example: In English, the letter j is rare, in French, the letter w is rare and limited to words imported from other languages
— Look for language specific characters/signs as diacritics
Example: In Spanish, the ñ (tilde n) appears often, in French, accent letters such as â,ç,è,é,ê,î,ô,û,ù are used, etc.
dCode is limited to a hundred languages worldwide (Only contemporary and non-fictional languages).
How to count words in a text?
dCode offers word counting and / or character frequency analysis tools.
What are the most common languages?
The languages with the most speakers in the world are
| English |
| Mandarin Chinese |
| Spanish |
| Arabic |
| Hindi/Hindustani |
| French |
How to recognise a spoken language?
Language recognition processes written texts to determine the language used, while language in speech detection is concerned with identifying spoken language in real-time audio or speech. It's a much different process that requires voice recognition technologies. dCode does not offer this feature.
Source code
dCode retains ownership of the "Language Recognition" source code. Any algorithm for the "Language Recognition" algorithm, applet or snippet or script (converter, solver, encryption / decryption, encoding / decoding, ciphering / deciphering, breaker, translator), or any "Language Recognition" functions (calculate, convert, solve, decrypt / encrypt, decipher / cipher, decode / encode, translate) written in any informatic language (Python, Java, PHP, C#, Javascript, Matlab, etc.) or any database download or API access for "Language Recognition" or any other element are not public (except explicit open source licence). Same with the download for offline use on PC, mobile, tablet, iPhone or Android app.
Reminder: dCode is an educational and teaching resource, accessible online for free and for everyone.
Cite dCode
The content of the page "Language Recognition" and its results may be freely copied and reused, including for commercial purposes, provided that dCode.fr is cited as the source (Creative Commons CC-BY free distribution license).
Exporting the results is free and can be done simply by clicking on the export icons ⤓ (.csv or .txt format) or ⧉ (copy and paste).
To cite dCode.fr on another website, use the link:
In a scientific article or book, the recommended bibliographic citation is: Language Recognition on dCode.fr [online website], retrieved on 2025-07-06,
