Language Detector

Automatically identify the language of any text with high accuracy. Supports over 100 languages including major world languages and regional variants.

Detection Settings

Sample Texts

English

"Hello, how are you today? I hope you're having a wonderful day!"

Spanish

"Hola, ¿cómo estás hoy? ¡Espero que tengas un día maravilloso!"

French

"Bonjour, comment allez-vous aujourd'hui? J'espère que vous passez une merveilleuse journée!"

German

"Hallo, wie geht es dir heute? Ich hoffe, du hast einen wundervollen Tag!"

Russian

"Привет, как дела сегодня? Надеюсь, у тебя прекрасный день!"

Japanese

"こんにちは、今日はいかがですか？素晴らしい一日を過ごしていることを願っています！"

Input Text

Words: 0Characters: 0

What is Language Detection?

Language detection is an automated process that identifies the language of a given text using natural language processing and machine learning algorithms. This powerful technology analyzes linguistic patterns, character frequencies, and grammatical structures to determine which language a piece of text is written in with high accuracy.

Our advanced Language Detector can identify over 100 languages and language variants, making it an essential tool for content management, international business, translation services, and multilingual applications.

Key Benefits:

  • Automatic content routing and organization by language
  • Improved search and content discovery for multilingual sites
  • Enhanced user experience through language-specific features
  • Streamlined translation and localization workflows

How Language Detection Works

Statistical Analysis

Character Frequency

Analyzes how often specific characters appear

Example: ñ in Spanish, ä in German

N-gram Analysis

Examines sequences of characters or words

Example: "the" is common in English

Word Patterns

Identifies language-specific word structures

Example: German compound words

Linguistic Features

Script Detection

Identifies writing systems and alphabets

Example: Cyrillic, Arabic, Chinese

Stopword Analysis

Detects common words unique to languages

Example: "el" in Spanish, "le" in French

Grammar Patterns

Analyzes syntactic and morphological features

Example: Word order, inflection patterns

How to Use the Language Detector

1

Input Text

Enter the text whose language you want to identify. The tool works with as little as a few words, but longer texts provide more accurate results.

2

Configure Detection

Choose detection sensitivity and whether to show alternative language suggestions with confidence scores.

3

Detect Language

Click detect to analyze the text and get instant language identification with confidence scores.

4

Review Results

Examine the detected language, confidence level, and any alternative suggestions for making informed decisions.

Examples and Use Cases

Example 1: European Languages

"Bonjour, comment allez-vous?"

Detected: French (97% confidence)

"Hola, ¿cómo está usted?"

Detected: Spanish (98% confidence)

Example 2: Non-Latin Scripts

"こんにちは、元気ですか？"

Detected: Japanese (99% confidence)

"Привет, как дела?"

Detected: Russian (98% confidence)

"مرحبا، كيف حالك؟"

Detected: Arabic (97% confidence)

Business Applications:

  • Content Management: Automatically categorize and route multilingual content
  • Customer Support: Direct users to language-appropriate support channels
  • E-commerce: Display products and content in the user's preferred language
  • Social Media: Analyze and moderate content across different languages
  • Translation Services: Streamline workflow by identifying source languages

Supported Languages

Our language detector supports over 100 languages and language variants, including major world languages, regional dialects, and specialized scripts. Here are some of the most commonly detected languages:

European

  • English
  • Spanish
  • French
  • German
  • Italian
  • Portuguese
  • Dutch
  • Polish
  • Russian
  • Swedish

Asian

  • Chinese (Simplified)
  • Chinese (Traditional)
  • Japanese
  • Korean
  • Hindi
  • Arabic
  • Thai
  • Vietnamese
  • Indonesian
  • Malay

Middle Eastern

  • Arabic
  • Hebrew
  • Persian (Farsi)
  • Turkish
  • Urdu
  • Kurdish
  • Pashto
  • Dari

African & Others

  • Swahili
  • Amharic
  • Yoruba
  • Zulu
  • Afrikaans
  • Hausa
  • Somali
  • Malagasy

Note: Detection accuracy varies by language and text length. Languages with unique scripts (Arabic, Chinese, Japanese) are generally detected with higher confidence than closely related languages (Spanish vs. Portuguese, Norwegian vs. Danish).

Frequently Asked Questions

How much text is needed for accurate detection?

While our detector can work with just a few words, accuracy improves significantly with longer text. For best results, provide at least 50-100 characters.

Can it detect mixed-language content?

The detector identifies the dominant language in the text. For content with multiple languages, it will detect the language that appears most frequently.

How accurate is the language detection?

Accuracy typically ranges from 95-99% for well-formed text in major languages. Factors affecting accuracy include text length, language similarity, and transliteration.

Best Practices for Language Detection

Optimization Tips:

  • Provide sufficient text length (50+ characters) for better accuracy
  • Clean text by removing excessive punctuation or special characters
  • Consider context when interpreting results for short texts
  • Use confidence scores to assess reliability of detection

Common Challenges:

  • Very short texts may be ambiguous between similar languages
  • Technical jargon or heavy use of loanwords can affect accuracy
  • Mixed-language content requires careful interpretation
  • Proper nouns and brand names may skew results