Real-Time Language Detection with Azure AI Language Service

Unlock the power of real-time language detection with Azure Cognitive Services! 🌍
In this step-by-step tutorial, we’ll show you how to quickly detect any language using Azure’s Language Detection API. Whether you're building a multilingual app or working on an AI Foundry coding test, this practical guide has you covered.

Overview

This project demonstrates how to use the Azure AI Language Service—specifically, the Language Detection feature—to identify the language of any input text in real time. The app is built with ASP.NET Core Razor Pages and integrates directly with Azure AI Language Services for accurate and scalable language detection.

Features

• Language Detection: Enter any text and instantly detect its language using Azure AI Language Services.
• Azure Integration: Uses Azure AI Text Analytics for accurate language detection.

Project Structure

LanguageDetection.sln
LanguageDetectionApp/
  appsettings.json
  appsettings.Development.json
  LanguageDetectionApp.csproj
  Program.cs
  Pages/
    Index.cshtml
    Index.cshtml.cs
    Error.cshtml
    Error.cshtml.cs
    Shared/
      _Layout.cshtml
      _ValidationScriptsPartial.cshtml
    _ViewImports.cshtml
    _ViewStart.cshtml
  wwwroot/
    css/
      site.css
    js/
      site.js
    lib/
      bootstrap/
      jquery/
      jquery-validation/
      jquery-validation-unobtrusive/
  Properties/

Prerequisites

• .NET 8 SDK
• Azure Subscription
• Azure AI Text Analytics resource (for endpoint and API key)

Required NuGet Packages

• Azure.AI.TextAnalytics
• Microsoft.Extensions.Configuration
• Microsoft.Extensions.Logging
• Microsoft.AspNetCore.Mvc.RazorPages

These are referenced in the project file (LanguageDetectionApp.csproj).

Configuration

1. Azure AI Credentials:
   Update the AzureAI section in appsettings.json:

   "AzureAI": {
     "Endpoint": "<your Azure endpoint>",
     "ApiKey": "<your Azure API key>"
   }

2. Logging and Hosting:
   Adjust logging levels and allowed hosts as needed.

How It Works

• The backend (Pages/Index.cshtml.cs) uses TextAnalyticsClient from Azure SDK.
• On form submission, the app calls Azure's language detection API and displays the detected language.

How to Run

1. Restore Packages:

   dotnet restore

2. Build the Project:

   dotnet build

3. Run the Application:

   dotnet run --project LanguageDetectionApp

4. Access the App:
   Open your browser and navigate to https://localhost:5001 (or the URL shown in the terminal).

Screenshots

License

This project uses open-source libraries under the MIT License. See the LICENSE files in the wwwroot/lib subfolders for details.

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Azure Best Practices:

• Store secrets like API keys securely (consider using Azure Key Vault).
• Use HTTPS in production.
• Restrict AllowedHosts in production environments.

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Contributions welcome!