Language Detector
Instantly detect the language of any text — supports 25 languages including Latin, Cyrillic, CJK, Arabic, Devanagari and more.
What is Language Detector?
A language detector analyses a sample of text and identifies which natural language it is written in. It uses statistical and machine-learning techniques — including n-gram frequency analysis and character-level models — to compare the input text against language profiles and return the most likely language along with a confidence score.
Language detection is a foundational step in many text processing pipelines. Content moderation systems use it to route text to the right language-specific classifier. Translation services use it to pre-populate the source language field. Search engines use it to rank results in the user's language. Customer support platforms use it to assign tickets to agents who speak the right language.
This tool supports over 25 languages including English, Spanish, French, German, Portuguese, Italian, Dutch, Russian, Chinese, Japanese, Korean, Arabic, Hindi, Turkish, Polish, Swedish, and more. Detection works best on text of 20 words or more — shorter samples may return lower confidence scores. The tool also shows the top three candidate languages with their scores, which is useful when text contains code-switching (mixing two languages) or loanwords that resemble a different language.
How to Use Language Detector
- Paste or type your text
Enter any text you want to identify — a sentence, a paragraph, or a longer passage in any supported language.
- Detection runs automatically
The language detector analyses the text in real time as you type, updating results with every change.
- View the detected language and confidence
See the top detected language with a confidence percentage and the full language name.
- Check alternative candidates
Review the top three candidate languages and their scores — useful for mixed-language or ambiguous text.
Key Benefits
Covers major European, Asian, Middle Eastern, and Slavic languages with high accuracy on typical text samples.
Every result includes a percentage confidence score so you know how certain the detection is.
Results update as you type — no need to press a button or wait for a server round-trip.
Text is processed in your browser — nothing is sent to or stored on any external server.
Frequently Asked Questions
Detection is most reliable with 20 or more words. Very short samples (under 5 words) may return lower confidence or incorrect results, especially for closely related languages like Spanish and Portuguese.
The detector returns the dominant language in the sample. If a text mixes two languages roughly equally, the confidence score will be lower and both languages should appear in the top candidates list.
Yes. Arabic, Hebrew, Persian (Farsi), and Urdu are supported. The tool detects the language regardless of text direction — display direction is handled by your browser.
Yes. Although these scripts share some characters, the detection model uses character n-gram profiles that are distinct enough to reliably separate Chinese (Simplified and Traditional), Japanese, and Korean in most cases.