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AI Language Detector

Detect the language of text fragments and return language codes using AI

Enter the text fragment you want to analyze for language detection

Key Facts

Category
AI Tools
Input Types
textarea
Output Type
json
Sample Coverage
4
API Ready
Yes

Overview

The AI Language Detector is a precise utility designed to identify the language of any text fragment instantly. By leveraging advanced AI models, it analyzes input text and returns the corresponding ISO language code, ensuring accurate classification for multilingual content workflows.

When to Use

  • •When you need to categorize large volumes of user-generated content by language.
  • •When building automated translation pipelines that require language identification before processing.
  • •When verifying the language of incoming support tickets or customer feedback.

How It Works

  • •Paste your text fragment into the input field.
  • •Click the detect button to initiate the AI analysis.
  • •Receive the identified language code in a clean JSON format.

Use Cases

Automating content routing for international customer support teams.
Filtering and organizing multilingual datasets for machine learning training.
Validating user input in web forms to ensure correct language settings.

Examples

1. Support Ticket Routing

Customer Support Manager
Background
The support team receives hundreds of emails daily in various languages, leading to delays in manual sorting.
Problem
Need to automatically identify the language of incoming tickets to route them to the correct regional support agent.
How to Use
Paste the customer's email body into the text field and trigger the detection.
Outcome
The tool returns the language code (e.g., 'fr', 'es', 'de'), allowing the system to assign the ticket to the appropriate language-speaking representative.

2. Multilingual Data Cleaning

Data Analyst
Background
A dataset containing user comments from a global platform is mixed with multiple languages, making sentiment analysis difficult.
Problem
Identify and tag the language of each comment to segment the data for localized analysis.
How to Use
Input individual comments into the detector to retrieve the language code for each entry.
Outcome
The dataset is successfully tagged with language codes, enabling the analyst to filter and process comments by specific language groups.

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FAQ

How accurate is the language detection?

The tool uses high-performance AI models capable of identifying hundreds of languages with high precision, even in short text fragments.

What format is the output?

The output is provided in a structured JSON format containing the detected language code.

Can it detect multiple languages in one text?

The tool is optimized to identify the primary language of the provided text fragment.

Is there a character limit for the input?

You can input standard text fragments; for optimal results, ensure the text contains enough context for the AI to analyze.

Does it support regional dialects?

Yes, the tool can distinguish between various language codes and common regional variations.

API Documentation

Request Endpoint

POST /en/api/tools/ai-language-detector

Request Parameters

Parameter Name Type Required Description
text textarea Yes Enter the text fragment you want to analyze for language detection

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration: 

{
  "mcpServers": {
    "elysiatools-ai-language-detector": {
      "name": "ai-language-detector",
      "description": "Detect the language of text fragments and return language codes using AI",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=ai-language-detector",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]