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Language Detector

Paste text in any language and instantly detect which language it is. Everything runs in your browser — nothing is uploaded.

Start typing or paste some text to detect its language.

Detection runs entirely in your browser using a statistical model — no text is uploaded. Accuracy improves with longer text, and very short or mixed-language samples may be misidentified.

What is a language detector?

A language detector is a tool that identifies which language a piece of text is written in. You paste in some text — a sentence, a paragraph, an email, a message — and the detector tells you the most likely language, often along with close alternatives. It is also called language identification or language recognition.

Our free online language detector runs entirely in your browser using a statistical model, so your text is never uploaded or stored, and there is no sign-up. It can recognize dozens of the world's most common languages, from English, Spanish, and French to Arabic, Chinese, Japanese, Hindi, and many more.

How does language detection work?

Most automatic language detectors work by analyzing the patterns of letters and short letter sequences (called n-grams) in your text and comparing them against statistical profiles of known languages. Every language has a characteristic fingerprint — common letter combinations, accented characters, and word endings — and the detector finds the closest match. This approach is fast, works offline, and does not need artificial intelligence or a server.

The trade-off is that accuracy depends heavily on how much text you provide. A single word or a very short phrase often is not enough to tell similar languages apart — Spanish and Portuguese, or Danish and Norwegian, share many patterns. The more text you paste, the more confident and accurate the detection becomes, which is why this tool asks for a minimum amount of text and shows alternative possibilities when languages are close.

Why detect a language before translating?

Identifying the source language is the essential first step in any translation. Before you can translate a document, hire the right translator, or even pick the correct setting in a translation tool, you need to know what language you are starting from — and that is not always obvious, especially with unfamiliar scripts or closely related languages.

Language detection is useful in many translation and content workflows: figuring out the language of an incoming customer email before routing it, sorting multilingual content, checking which language a snippet of unknown text is in, or confirming that a translation actually ended up in the language you expected. For anyone working across languages, quick and reliable detection saves time and prevents mistakes.

How to use this language detector

Paste or type your text into the box above. As soon as there is enough text, the tool displays the most likely language, and where relevant, a few close alternatives. For the best results, use a full sentence or more rather than a single word, and use clean text in a single language — mixing languages in one sample can confuse any detector.

Because everything runs locally in your browser, detection is instant and completely private, making it safe to use even with sensitive or confidential text.

Frequently asked questions

How can I tell what language a text is in?
Paste the text into the language detector above. It analyzes the letter patterns in your text and identifies the most likely language, along with close alternatives. For reliable results, provide a full sentence or more rather than a single word.
Is this language detector free and private?
Yes. It is completely free, needs no sign-up, and runs entirely in your browser using a statistical model. Your text is never uploaded or stored, so it is safe to use with sensitive content.
Why does language detection need a minimum amount of text?
Detection works by matching letter patterns against known languages, and short text simply does not contain enough of those patterns to be reliable — especially for distinguishing similar languages. Longer text produces far more accurate results.
Which languages can it detect?
It recognizes dozens of the world's most widely used languages across many scripts, including English, Spanish, Portuguese, French, German, Russian, Arabic, Chinese, Japanese, Korean, Hindi, and many more.
Why did it confuse two similar languages?
Closely related languages such as Spanish and Portuguese, or Danish and Norwegian, share many letter patterns, so short or ambiguous samples can be misidentified. Providing more text usually resolves this, and the tool shows alternative possibilities to help.