Language Detector

Automatically identify the language of any text with confidence scores. Supports over 100 languages including major world languages and regional dialects.

Enter Text to Analyze
Detection Results
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English
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95% Confidence

Alternative Possibilities

Language Information
Try Sample Texts
English
Hello, how are you today? This is a sample text...
Spanish
Hola, ¿cómo estás hoy? Este es un texto de muestra...
French
Bonjour, comment allez-vous aujourd'hui? Ceci est un exemple...
German
Hallo, wie geht es dir heute? Dies ist ein Beispieltext...
Italian
Ciao, come stai oggi? Questo è un testo di esempio...
Portuguese
Olá, como você está hoje? Este é um texto de exemplo...

About Language Detection

How Language Detection Works

Language detection uses statistical analysis and machine learning algorithms to identify the language of text. The system analyzes character patterns, word frequencies, and linguistic features to determine the most likely language with a confidence score.

Detection Methods

  • N-gram Analysis: Examines character and word sequences
  • Character Frequency: Analyzes letter distribution patterns
  • Dictionary Matching: Compares words against language dictionaries
  • Statistical Models: Uses trained models for pattern recognition
  • Unicode Analysis: Identifies script and character set usage

Supported Languages

Major Languages: English, Spanish, French, German, Italian, Portuguese, Russian, Chinese, Japanese, Korean, Arabic, Hindi

European Languages: Dutch, Swedish, Norwegian, Danish, Finnish, Polish, Czech, Hungarian, Romanian, Greek

Asian Languages: Thai, Vietnamese, Indonesian, Malay, Turkish, Hebrew, Persian, Urdu, Bengali

Regional Languages: Catalan, Welsh, Irish, Scottish Gaelic, Basque, and many more

Accuracy Factors

  • Text length (longer text = higher accuracy)
  • Language distinctiveness
  • Mixed language content
  • Proper nouns and technical terms
  • Script and character encoding
  • Domain-specific vocabulary

Common Use Cases

  • Content management and organization
  • Translation workflow preparation
  • Multilingual document processing
  • Social media content analysis
  • Customer support routing
  • Academic research and linguistics

Tips for Better Detection

  • Use longer text samples when possible
  • Remove URLs, email addresses, and numbers
  • Avoid mixed-language content for single detection
  • Consider context and domain of the text
  • Check confidence scores for reliability
  • Review alternative language suggestions

Frequently Asked Questions

How does language detection work?

Language detection uses statistical analysis and machine learning algorithms to identify the language of text. The tool uses statistical models and machine learning algorithms to provide confidence scores for accuracy assessment.

How many languages can it detect?

The language detector supports over 100 languages including major world languages like English, Spanish, French, German, Chinese, Japanese, Arabic, and Hindi, as well as regional dialects and less common languages with varying degrees of accuracy.

What is the minimum text length needed?

While detection can work with short text, longer samples (50+ characters) provide more accurate results. Very short text may have lower confidence scores, and single words or phrases may be ambiguous between similar languages.

See Also