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Identify the language of any text instantly, right in your browser. Paste your text, upload a file, or load it from a URL, and the tool analyzes script and word patterns to return the detected language, its ISO code, and a confidence breakdown. No text is ever sent to an external API, and the tool is built and maintained by TestMu AI.
A language detector is a tool that analyzes a piece of text and identifies which human language it is written in. It looks at patterns in the text, such as the characters used, common short words, and script (alphabet), to work out the most likely language without any prior information from the user.
Language detection is language independent in the sense that it can recognize dozens of languages using the same underlying engine. Whether you paste English, Spanish, Arabic, Hindi, or Japanese text, the tool applies the same script and pattern analysis and labels the result with its two-letter ISO 639-1 language code.
This particular tool performs every step of detection locally in your browser using JavaScript. No text is uploaded to a server or third-party API, which makes it fast and safe to use with sensitive content.
Language detection is useful whenever an application, workflow, or team needs to know what language a piece of text is in before deciding what to do with it. Here is where teams put it to work:
This tool combines two detection strategies. First, it scans the Unicode ranges of the characters in your text to identify the writing system: for example, Cyrillic, Arabic, Devanagari, Han, Hiragana, Katakana, Hangul, Thai, Hebrew, or Greek. Scripts that map to a single language, such as Thai or Korean, are resolved immediately.
For text written in the Latin alphabet, many languages share the same characters, so the tool falls back to stopword frequency analysis: counting how often extremely common short words (like “the”, “de”, “le”, “und”, or “het”) for each candidate language appear in your text, together with a bonus for language-specific accented characters:
function scoreLanguage(text, stopwords) {
const words = text.toLowerCase().split(/[^a-zà-ÿ]+/);
return words.filter((w) => stopwords.includes(w)).length;
}The language with the highest combined score is returned as the detected language, and the next two candidates are shown as alternate matches with their own confidence percentages so you can see how close the decision was.
Some language pairs share a script and a lot of vocabulary, so the detector applies extra, pair-specific signals to tell them apart:
| Shared script | Language pair | How the detector tells them apart |
|---|---|---|
| Danish vs. Norwegian | Latin, with æ, ø, å | Word forms spelled differently in each language, such as "efter" (Danish) vs. "etter" (Norwegian) |
| Russian vs. Ukrainian | Cyrillic | Ukrainian-only letters (і, ї, є, ґ) weighed against Russian-only letters (ы, э, ъ, ё) |
| Urdu vs. Persian | Arabic | Urdu-exclusive retroflex letters checked first, since Persian only shares letters that Urdu also borrows |
| Vietnamese vs. other Latin languages | Latin, heavily accented | Unique base letters (ă, â, đ, ê, ô, ơ, ư) instead of the plain accented vowels other languages also use |
Pair the detector with the Case Converter to normalize casing once you know the language, the Text Compare tool to diff multilingual strings, or the Unicode Text Converter to inspect the exact characters behind a detection.
Detecting the language of a piece of text takes only a few seconds and needs no setup. Follow these steps:
The detector currently recognizes the following languages:
Yes. The tool is completely free with no signup or subscription, there is no cap on how much text you can analyze, and everything runs in your own browser.
No. Detection runs entirely client-side using Unicode script analysis and stopword frequency scoring, so your text never leaves your browser.
The tool recognizes 35+ languages across Latin, Cyrillic, Arabic, Devanagari, CJK, and other major scripts, including English, Spanish, French, German, Hindi, Arabic, Chinese, Japanese, and Korean.
Longer text generally gives higher accuracy because the tool has more words and characters to analyze. Very short phrases (a few words) may return lower confidence scores.
Provide at least one full sentence rather than a single word, avoid mixing multiple languages in the same input, and keep original accented characters and punctuation intact, since they are strong signals for languages like Spanish, French, German, and Vietnamese.
Yes. Use the Language Detector tool's "Upload file" option to load a .txt file, or the "Load file via URL" option to fetch text from a raw URL, and the tool will detect its language automatically.
The confidence score shows how strongly the analyzed text matched the patterns of a language relative to the other candidate languages. A higher score means a stronger match.
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