A Comprehensive Guide for Developers on Image Generation in.NET

AI-powered image generating has revolutionized contemporary applications in automation, design, e-commerce, and content development. With Azure OpenAI, OpenAI models (such GPT-4o and DALL·E), and.NET 8, developers can create robust image-generation systems with straightforward APIs. This article describes popular use cases, best practices, interview-ready concepts, how image generation operates, and how to connect it with .NET.

1. What Is AI Image Generation?

AI image generation is the process of creating new images from text instructions (prompts).
Modern models such as DALL·E, Stable Diffusion, and GPT-4o convert natural language into high-quality images by understanding your scene description.

Capabilities

• Generate new images from text

• Modify or extend existing images

• Change styles (photorealistic, 3D, illustration)

• Remove/replace objects

• Upscale or improve quality

2. Tools Available for Image Generation in .NET

1. OpenAI / Azure OpenAI Image API

Supports:

• Text-to-Image

• Image editing

• Image variations

NuGet package:

dotnet add package OpenAI

2. Third-party models (Stable Diffusion, Midjourney APIs)

Useful when:

• You need local/on-prem image generation

• GPU-based custom workflows

3. Custom models with ONNX Runtime

For enterprise offline image synthesis.

3. Setting Up Image Generation in .NET

First install the official OpenAI package:

dotnet add package OpenAI

Then initialize the client:

using OpenAI;

var client = new OpenAIClient("your_api_key");

4. Generate Images from Text (Text-to-Image)

This is the most common use case.

var result = await client.Images.GenerateAsync(new ImageGenerationRequest
{
    Prompt = "A futuristic city skyline at sunset with flying cars",
    Size = "1024x1024",
    Model = "gpt-image-1"
});

var imageBytes = Convert.FromBase64String(result.Data[0].B64Json);
await File.WriteAllBytesAsync("city.png", imageBytes);

Explanation

• Model: "gpt-image-1" or latest

• Prompt: Natural-language description

• Size: 256x256, 512x512, 1024x1024

• Result is Base64 encoded, saved as PNG

5. Image Editing in .NET (Add / Modify Content)

You can edit existing images by providing:

• Base image

• Mask image (transparent area = editable)

• New prompt

Example: Replacing the background of a product image.

var baseImage = await File.ReadAllBytesAsync("product.png");
var maskImage = await File.ReadAllBytesAsync("mask.png");

var response = await client.Images.EditAsync(new ImageEditRequest
{
    Image = baseImage,
    Mask = maskImage,
    Prompt = "Replace the background with a clean white studio backdrop",
    Size = "1024x1024"
});

var edited = Convert.FromBase64String(response.Data[0].B64Json);
await File.WriteAllBytesAsync("output.png", edited);

6. Create Image Variations

Useful in:

• Logo generation

• Different styles of same object

• Marketing content variations

var original = await File.ReadAllBytesAsync("logo.png");

var variation = await client.Images.CreateVariationAsync(new ImageVariationRequest
{
    Image = original,
    Size = "512x512"
});

var output = Convert.FromBase64String(variation.Data[0].B64Json);
await File.WriteAllBytesAsync("logo_variation.png", output);

7. Real-World Use Cases

1. E-commerce

• Auto-generate product images

• Change backgrounds

• Create color variations

• Social media previews

2. Marketing and Design

• Banner images

• Thumbnails

• Posters

• Animated storyboard frames

3. App & Game Development

• Character avatars

• Environment concept art

• Texture generation

4. Automation

• Generate dozens of images dynamically through .NET APIs

• Auto-generate visuals for reports

8. Architecture for Image Generation in .NET

Pattern 1: REST API Microservice

• ASP.NET Core MVC or Minimal API

• Expose /generate-image, /edit-image endpoints

• Can scale independently

• Works well with frontend apps (React, Angular, MAUI)

Pattern 2: Background Task Worker

• Queue requests

• Generate images in background job

• Use Hangfire, Azure Functions, or WorkerService

Pattern 3: Hybrid RAG + Image Generation

• Search metadata for design descriptions

• Generate images automatically

• Useful in content automation platforms

9. Best Practices

1. Use meaningful long prompts

2. Always compress or resize for storage

3. Cache generated images to reduce cost

4. Validate user prompts to avoid misuse

5. Limit max image-size for performance

6. Avoid blocking UI threads; use async

Conclusion

Integrating AI-based image generation into .NET applications is now straightforward. With simple APIs, you can generate complex visuals, automate design workflows, and build creative tools directly within .NET. As .NET continues evolving, image generation will play an increasingly important role in enterprise automation, marketing, and end-user applications.

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HostForLIFE.eu presents Hosting for ASP.NET Core 10.0

European premier web hosting service, HostForLIFE.eu announces the availability of ASP.NET Core 10.0 Hosting

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ASP.NET Core 10.0, the successor to .NET 9, is supported for three years as a long-term support (LTS) release. The .NET 10 runtime introduces new features and performance improvements. Key updates include: Array interface method devirtualization: The JIT can now devirtualize and inline array interface methods, improving performance for array enumerations. Array enumeration de-abstraction: Enhancements to reduce abstraction overhead for array iteration via enumerators, enabling better inlining and stack allocation. Inlining of late devirtualized methods: The JIT can now inline methods that become eligible for devirtualization due to previous inlining. Devirtualization based on inlining observations: The JIT uses precise type information from inlining to devirtualize subsequent calls. Stack allocation of arrays: Small, fixed-sized arrays can now be stack-allocated. AVX10.2 support: Introduced support for Advanced Vector Extensions (AVX) 10.2 for x64-based processors, though currently disabled by default. NativeAOT enhancements: Support for casting and negation in NativeAOT's type preinitializer.

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How Every Beginner Should Know How to Write SQL Queries?

Writing SQL queries is the core skill every backend, full-stack, or data engineer must learn. SQL Server may look complicated initially, but once you understand a few foundational queries like:

• SELECT

• WHERE

• ORDER BY

• JOIN

• GROUP BY

• Aggregations (COUNT, SUM, AVG)

you can query almost any business database.

This article takes a practical approach. The examples are based on a real-world automotive service management system, similar to the database from Article 1. Every query comes with:

• The problem scenario

• How the query works

• A working SQL script example

This is written for beginners but structured in a way that builds real production readiness.

Real-World Context

Our database has three tables:

Customer

CREATE TABLE Customer (
    CustomerId INT PRIMARY KEY,
    FullName NVARCHAR(100),
    City NVARCHAR(100)
);

Car

CREATE TABLE Car (
    CarId INT PRIMARY KEY,
    CustomerId INT,
    Brand NVARCHAR(50),
    Model NVARCHAR(50),
    FOREIGN KEY (CustomerId) REFERENCES Customer(CustomerId)
);

ServiceRecord

CREATE TABLE ServiceRecord (
    ServiceId INT PRIMARY KEY,
    CarId INT,
    ServiceDate DATE,
    Cost DECIMAL(10,2),
    FOREIGN KEY (CarId) REFERENCES Car(CarId)
);

We will write SQL queries based on this data model.

SELECT: Retrieving Data

The SELECT command is used to fetch data from a table.

Example: Get all customers.

SELECT * FROM Customer;

While SELECT * is useful during development, in production always use explicit columns.

SELECT CustomerId, FullName, City FROM Customer;

WHERE: Filtering Records

Example: Customers from Mumbai.

SELECT FullName, City
FROM Customer
WHERE City = 'Mumbai';

You can use comparison operators:

• =

• !=

• >

• <

• BETWEEN

• LIKE

Example: Find customers whose name starts with "P".

SELECT FullName
FROM Customer
WHERE FullName LIKE 'P%';

ORDER BY: Sorting Results

Sort customer list alphabetically.

SELECT FullName, City
FROM Customer
ORDER BY FullName ASC;

Sort by most recent service first:

SELECT CarId, ServiceDate, Cost
FROM ServiceRecord
ORDER BY ServiceDate DESC;

JOIN: Combining Data from Multiple Tables

JOINs allow you to read related data across tables.

INNER JOIN

Get all cars with customer names.

SELECT
    Customer.FullName,
    Car.Brand,
    Car.Model
FROM Car
INNER JOIN Customer
    ON Customer.CustomerId = Car.CustomerId;

LEFT JOIN

Get all customers even if they do not own a car.

SELECT
    Customer.FullName,
    Car.Brand,
    Car.Model
FROM Customer
LEFT JOIN Car
    ON Customer.CustomerId = Car.CustomerId;

RIGHT JOIN (Rarely Used)

SELECT *
FROM Customer
RIGHT JOIN Car
    ON Customer.CustomerId = Car.CustomerId;

GROUP BY: Summarizing Data

GROUP BY is used with aggregate functions like COUNT, SUM, AVG.

Example: Count how many cars each customer owns.

SELECT
    Customer.FullName,
    COUNT(Car.CarId) AS TotalCars
FROM Customer
LEFT JOIN Car
    ON Customer.CustomerId = Car.CustomerId
GROUP BY Customer.FullName;

Example: Total service cost per car.

SELECT
    Car.Brand,
    Car.Model,
    SUM(ServiceRecord.Cost) AS TotalServiceCost
FROM Car
INNER JOIN ServiceRecord
    ON Car.CarId = ServiceRecord.CarId
GROUP BY Car.Brand, Car.Model;

HAVING: Filtering Group Results

Unlike WHERE, HAVING works after grouping.

Example: Customers who own more than one car.

SELECT
    Customer.FullName,
    COUNT(Car.CarId) AS CarCount
FROM Customer
LEFT JOIN Car
    ON Customer.CustomerId = Car.CustomerId
GROUP BY Customer.FullName
HAVING COUNT(Car.CarId) > 1;

TOP: Limit Results

Example: Get the most expensive service.

SELECT TOP 1 *
FROM ServiceRecord
ORDER BY Cost DESC;

DISTINCT: Remove Duplicates

Example: List all unique cities.

SELECT DISTINCT City
FROM Customer;

Combining Multiple Clauses

Example:
Get top 5 customers with the highest total service spending.

SELECT TOP 5
    Customer.FullName,
    SUM(ServiceRecord.Cost) AS TotalSpent
FROM Customer
JOIN Car ON Customer.CustomerId = Car.CustomerId
JOIN ServiceRecord ON Car.CarId = ServiceRecord.CarId
GROUP BY Customer.FullName
ORDER BY TotalSpent DESC;

This is similar to a real dashboard/report query.

Real-World Case Study

A service company initially exported all service records to Excel and manually calculated revenue. It took nearly 5 hours per week and had frequent mistakes.

After learning GROUP BY queries:

• Revenue reports were generated instantly.

• Customer trends became visible.

• The business started offering targeted service packages.

SQL skills directly improved business outcomes.

Common Beginner Mistakes

Mistake	Better Practice
Using SELECT * in production	Use explicit column names
Forgetting WHERE condition	May return huge datasets
Using RIGHT JOIN instead of LEFT JOIN	LEFT JOIN is usually easier and logical
Using HAVING for non-aggregates	Use WHERE instead
No ORDER BY in reports	Reports appear random

Best Practices

• Always format your SQL for readability.

• Use meaningful aliases.

• Use LIMIT/TOP when testing.

• Follow naming conventions.

Example with formatting

SELECT
    c.FullName,
    SUM(sr.Cost) AS TotalSpent
FROM Customer c
JOIN Car ca ON c.CustomerId = ca.CustomerId
JOIN ServiceRecord sr ON ca.CarId = sr.CarId
GROUP BY c.FullName
ORDER BY TotalSpent DESC;

Summary

SQL querying begins with understanding and practicing:

• SELECT

• JOIN

• GROUP BY

• Filtering and sorting

These building blocks enable beginners to confidently query real business systems and prepare for more advanced topics like indexing, triggers, optimization, and stored procedures.

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.NET 10 Destroys MessagingCenter: The Cutting-Edge Substitute for Your MAUI App

With the release of .NET 10 , Microsoft has officially eliminated MessagingCenter , a long-standing functionality that many Xamarin. For lightweight communication between components, early MAUI developers relied on forms. This move may seem disruptive if your app still utilizes MessagingCenter, but in reality, safer, better, and easier-to-maintain alternatives have already taken its place.

This article outlines the reasons behind MessagingCenter's demise, suggests contemporary substitutes, and discusses how to seamlessly transfer your MAUI program without interfering with current features.

Why MessagingCenter Was Removed
MessagingCenter was originally introduced for simple publish–subscribe messaging, but over time developers ran into repeated issues:

• Hidden communication made debugging difficult
• Subscriptions often caused memory leaks
• It didn’t align with dependency injection or MVVM best practices
• Modern .NET messaging tools are cleaner and more efficient

To encourage better architecture and avoid unpredictable behavior, Microsoft removed MessagingCenter entirely in .NET 10.

Meet the Modern Replacement: WeakReferenceMessenger
The best replacement — and Microsoft’s deliberate direction — is WeakReferenceMessenger , part of the .NET Community Toolkit.

Why it’s better?

1. Strongly typed messages
2. No memory leaks thanks to weak references
3. Great for MVVM
4. Fully supported and actively updated
5. Faster and more optimized than MessagingCenter

It provides the same pub/sub workflow, but without the pitfalls.

Basic Usage Examples
Send a message
WeakReferenceMessenger.Default.Send(new UserLoggedInMessage(userId));
Receive a message
WeakReferenceMessenger.Default.Register<UserLoggedInMessage>(this, (r, m) =>
{
    // Handle login message
});
Message definition
public class UserLoggedInMessage : ValueChangedMessage<string>
{
    public UserLoggedInMessage(string value) : base(value) { }
}

This pattern is clean, simple, and scales beautifully as your app grows.

Migrating From MessagingCenter to WeakReferenceMessenger
Here’s a common real-world example.

Old (MessagingCenter)
MessagingCenter.Subscribe<HomePage, string>(this, "LoggedIn", (sender, value) =>
{
    // handle login
});
New (WeakReferenceMessenger)
WeakReferenceMessenger.Default.Register<LoggedInMessage>(this, (r, m) =>
{
    // handle login
});

Send the message
WeakReferenceMessenger.Default.Send(new LoggedInMessage("success"));

Migration Tips for Large Apps
If your MAUI app uses MessagingCenter heavily, follow this structured migration path:

1. Search for all MessagingCenter usages
2. Create equivalent message classes
3. Replace subscriptions with registrations
4. Replace publish calls with messenger sends
5. Test navigation scenarios for memory leaks

With WeakReferenceMessenger’s weak references, cleanup becomes much easier.

Why the New Approach Is Better for Your App?
Switching to modern messaging patterns gives you:

• Cleaner, more predictable architecture
• Faster message handling
• Zero hidden dependencies
• Fewer memory leaks
• Easier debugging and testing
• Future-proofing for new .NET MAUI updates

MessagingCenter may be gone, but the alternatives are significantly better.

Final Thoughts
The removal of MessagingCenter in .NET 10 marks the end of an old era and the beginning of a cleaner, more modern approach to app communication. Whether you migrate to WeakReferenceMessenger , traditional events, or a DI-driven pattern, your MAUI app will benefit from improved maintainability and performance. 

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.NET 10 Performance Innovations Described in Simple Terms

All throughout the platform,.NET 10 offers a number of remarkable speed enhancements. However, this article explains everything in simple terms rather than delving into technical language like "GC optimizations" or "JIT enhancements." Whether you're a manager, business leader, product owner, or just interested in learning more about what makes.NET 10 faster, this article discusses the advantages in clear language and provides actual examples that apply to common applications.

Faster Apps Without Changing Any Code

One of the biggest advantages of .NET 10 is this: your applications run faster even if developers don’t rewrite anything .

What this means in plain English

Think of .NET as the engine inside your application. Your developers write the logic, but .NET is the engine doing the heavy lifting. .NET 10 upgrades that engine — making it more efficient, smoother, and quicker — without requiring a full rebuild of the car.

Real-world example

If your business app processes thousands of customer requests per hour, .NET 10 handles those requests faster and with fewer delays, even if the app itself stays the same.

Smarter Memory Use = Fewer Freezes

Applications don’t just use your computer or server’s processor — they also use memory. Poor memory management can cause:

• pauses

• slow screens

• app hiccups

• system “freezing” during heavy activity

What .NET 10 improves?

.NET 10 is better at cleaning up memory behind the scenes. It spots unused data faster and frees it without bothering the app.

Plain English analogy

Imagine a restaurant where the table is cleaned while you’re still eating without interrupting your meal.
That’s how .NET 10 handles memory: quietly, efficiently, and without slowing anything down.

Benefit

Smoother experience for users, even when the system is under heavy load.

Faster Start-Up Times

Apps built with .NET 10 start faster — sometimes dramatically faster — especially on cloud servers.

Why this matters

Any time an app needs to start or restart (updates, scaling, maintenance), users wait. .NET 10 reduces that wait.

Simple analogy

It’s like turning on a laptop that wakes up instantly instead of taking 30 seconds to boot.

Business impact

• Faster website response during traffic spikes

• Faster scaling during busy periods

• Faster recovery after updates

Lower Server Costs Through Efficiency

Performance improvements also mean your apps use fewer resources like:

• CPU power

• memory

• cloud processing time

Why this matters?

Cloud platforms charge based on how much your app uses.
If .NET 10 can do the same amount of work using fewer resources , your cloud bill goes down.

Plain example

Imagine running the same distance but burning fewer calories — you’re working more efficiently.
.NET 10 helps your applications do the same.

Handles More Users at the Same Time

One major goal of .NET 10 is to increase the number of users and requests an app can manage before slowing down.

Why this matters

Apps today must handle:

• high traffic

• lots of background processes

• multiple simultaneous users

.NET 10 is better at juggling large workloads at once.

Real-world analogy

Think of a call center that can handle more calls at once without adding more agents.
That’s what .NET 10 does for your app traffic.

Smoother Experiences During Busy Times

When apps get busy, performance usually drops. Pages load slower, APIs take longer, and user actions lag.

How .NET 10 fixes this?

It keeps response times more stable — even when the app is under pressure.

Plain English explanation

It’s like a highway that expands a lane automatically when traffic increases.
.NET 10 adapts better to load changes, keeping performance steady.

Better Decision-Making Behind the Scenes

A lot of .NET 10’s performance gains come from smarter internal decisions.

Examples of “smart decisions” the runtime makes:

• Predicting what data will be needed next

• Reusing work instead of repeating it

• Optimizing tasks based on usage patterns

Benefit

Your app feels faster not through brute force , but because .NET 10 is simply smarter.

Performance Gains Across Web, APIs, Desktop, and Cloud

The improvements aren’t limited to one type of application. .NET 10 improves performance across:

• websites

• business APIs

• internal tools

• desktop apps

• microservices

• cloud functions

• background processing jobs

Why this matters?

Enterprises don’t run just one type of app — they run hundreds .
.NET 10 brings system-wide speed improvements throughout your entire technology stack.

Summary

.NET 10 brings significant performance breakthroughs that matter to everyone — not just developers. Apps start faster, run smoother, handle more users, use less memory, and cost less to operate. These improvements don’t require teams to rewrite applications. Instead, .NET 10 works behind the scenes like a smarter, more efficient engine powering your systems. For any organization looking to improve reliability, reduce costs, and deliver faster user experiences, .NET 10 provides a strong and future-ready foundation.

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All of their Windows & ASP.NET Core 10.0 Hosting servers are located in state of the art data center facilities that provide 24 hour monitoring and security. You can rest assured that while we do aim to provide cheap Windows and ASP.NET Core 10.0 hosting, we have invested a great deal of time and money to ensure you get excellent uptime and optimal performance. While there are several ASP.NET Core 10.0 Hosting providers many of them do not provide an infrastructure that you would expect to find in a reliable Windows platform.

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ASP.NET Core Tutorial: Managing Multilingual Content in REST APIs

Web applications and APIs must accommodate users from various nations, cultures, and languages in today's international digital ecosystem. Multi-language (or localization) support is now necessary, regardless of whether you're developing a content management system, an e-commerce website, or a customer service portal.

This post will teach us how to use ASP.NET Core to handle multi-language content in REST APIs. It will include clear examples, an architecture methodology, and best practices for maintaining scalable, clean localization logic.

Multi-Language Content Handling: What Is It?
Your API can offer the same data in many languages depending on system configuration or user choices if it has multi-language content handling.

For instance 

For example

GET /api/products/101?lang=en
→ { "id": 101, "name": "Wireless Mouse" }

GET /api/products/101?lang=fr
→ { "id": 101, "name": "Souris sans fil" }

The key goal is to separate content from language, making the system easy to scale and maintain.

Technical Workflow (Flowchart)

flowchart TD
A[Client Request with 'lang' Parameter] --> B[API Middleware Detects Language]
B --> C[Load Language Resource (DB or JSON file)]
C --> D[Fetch Content in Preferred Language]
D --> E[Fallback to Default Language if Not Found]
E --> F[Return Localized JSON Response]

Approaches for Multi-Language Content

There are two common strategies to handle multi-language content in APIs:

1. Database Localization

You store content in multiple languages in the database.

Example Table

ProductId	Language	Name	Description
101	en	Wireless Mouse	Ergonomic mouse design
101	fr	Souris sans fil	Souris ergonomique

Pros

• Centralized management

• Easy to update via admin panel

• Good for dynamic content

Cons

• Slightly complex queries

• Needs proper caching

2. File-Based Localization (Resource Files)

For static text (like labels, validation messages, etc.), use .resx or JSON resource files.

Example

/Resources
  ├── SharedResources.en.json
  ├── SharedResources.fr.json

SharedResources.en.json

{"Welcome": "Welcome to our application!","Logout": "Logout"}

SharedResources.fr.json

{"Welcome": "Bienvenue dans notre application!","Logout": "Se déconnecter"}

Step-by-Step Implementation in ASP.NET Core

Step 1: Add Localization Dependencies

Add this package to your project:

dotnet add package Microsoft.Extensions.Localization

Step 2: Configure Localization in Program.cs

var builder = WebApplication.CreateBuilder(args);

builder.Services.AddLocalization(options => options.ResourcesPath = "Resources");

builder.Services.Configure<RequestLocalizationOptions>(options =>
{
    var supportedCultures = new[] { "en", "fr", "de", "hi" };
    options.SetDefaultCulture("en");
    options.AddSupportedCultures(supportedCultures);
    options.AddSupportedUICultures(supportedCultures);
});

builder.Services.AddControllers();

var app = builder.Build();

var localizationOptions = app.Services.GetService<IOptions<RequestLocalizationOptions>>();
app.UseRequestLocalization(localizationOptions.Value);

app.MapControllers();
app.Run();

Step 3: Create a Resource File

Create a folder named Resources and add the following files:

• Controllers.HomeController.en.resx

• Controllers.HomeController.fr.resx

HomeController.en.resx

Name	Value
WelcomeMessage	Welcome to the API!

HomeController.fr.resx

Name	Value
WelcomeMessage	Bienvenue sur l'API!

Step 4: Use Localizer in Controller

using Microsoft.Extensions.Localization;
using Microsoft.AspNetCore.Mvc;

[Route("api/[controller]")]
[ApiController]
public class HomeController : ControllerBase
{
    private readonly IStringLocalizer<HomeController> _localizer;

    public HomeController(IStringLocalizer<HomeController> localizer)
    {
        _localizer = localizer;
    }

    [HttpGet("welcome")]
    public IActionResult GetWelcomeMessage()
    {
        var message = _localizer["WelcomeMessage"];
        return Ok(new { message });
    }
}

Now call the API with header:

Accept-Language: fr

Response:

{"message": "Bienvenue sur l'API!"}

Step 5: Multi-Language Content from Database

If your content is dynamic (e.g., product names), structure your database like this:

CREATE TABLE Product (
  Id INT PRIMARY KEY,
  DefaultName NVARCHAR(200)
);

CREATE TABLE ProductTranslation (
  ProductId INT,
  LanguageCode NVARCHAR(10),
  Name NVARCHAR(200),
  Description NVARCHAR(1000)
);

Sample Query

SELECT p.Id,
       ISNULL(pt.Name, p.DefaultName) AS Name
FROM Product p
LEFT JOIN ProductTranslation pt
ON p.Id = pt.ProductId AND pt.LanguageCode = @Lang

Handling Fallback Languages

Always include a fallback mechanism if a translation doesn’t exist.

Example in C#:

string localizedText = translations.FirstOrDefault(t => t.Language == lang)?.Text
                       ?? translations.FirstOrDefault(t => t.Language == "en")?.Text;

Combining API + Angular Frontend

• Angular sends a lang parameter or Accept-Language header.

• API reads it and sends localized content.

• Angular translates UI labels using ngx-translate while data (from API) comes already localized.

Angular Service Example

getProductDetails(id: number, lang: string): Observable<Product> {
  return this.http.get<Product>(`/api/products/${id}?lang=${lang}`);
}

Performance Optimization Tips

1. Cache Translations
   Use IMemoryCache or Redis for frequent translations.

2. Batch Translations
   Load all localized fields in one query.

3. Avoid Overfetching
   Only return localized fields required by the frontend.

4. Async Resource Loading
   When using .resx, preload resource dictionaries asynchronously.

Common Accessibility and Localization Audit Checklist

Area	Description
Content Separation	Text is not hardcoded in API responses
Default Language	System falls back to English or configured language
UTF-8 Support	Database and API both handle UTF-8 encoding
Dynamic Localization	API can handle runtime changes in preferred language
Header-Based Language	Supports Accept-Language header

Conclusion

Implementing multi-language content handling in your ASP.NET Core REST APIs not only improves user experience but also opens your product to a global audience. With resource-based localization for static text and database-driven translations for dynamic content, you can build a flexible, scalable architecture that supports any number of languages. Combine this with caching, proper culture handling, and smart fallbacks and your API will be truly international-ready.

Best ASP.NET Core 10.0 Hosting Recommendation

One of the most important things when choosing a good ASP.NET Core 8.0 hosting is the feature and reliability. HostForLIFE is the leading provider of Windows hosting and affordable ASP.NET Core, their servers are optimized for PHP web applications. The performance and the uptime of the hosting service are excellent and the features of the web hosting plan are even greater than what many hosting providers ask you to pay for. 

At HostForLIFEASP.NET, customers can also experience fast ASP.NET Core hosting. The company invested a lot of money to ensure the best and fastest performance of the datacenters, servers, network and other facilities. Its datacenters are equipped with the top equipments like cooling system, fire detection, high speed Internet connection, and so on. That is why HostForLIFEASP.NET guarantees 99.9% uptime for ASP.NET Core. And the engineers do regular maintenance and monitoring works to assure its Orchard hosting are security and always up.

Read More...

Using ClamAV or an external API, secure file upload and virus scanning in ASP.NET Core + Angular

Because of this, incorporating virus detection throughout the file upload procedure is now required rather than optional. Using Angular (frontend) and ASP.NET Core (backend), we'll examine how to create a secure file upload system that uses ClamAV or an external antivirus scanning API to identify threats prior to file storage.

File uploads are a frequent function in contemporary web applications, whether they be for product photos, personnel paperwork, or bills. However, there is a security risk associated with every file upload. Your entire system can be compromised by a single malicious file.

Why File Scanning Matters?

Malicious users often upload:

• Executable files disguised as PDFs or images

• Files containing embedded malware or scripts

• Corrupted data that crashes backend processing

If these files are stored unchecked, they can cause:

• System compromise

• Data corruption

• Application downtime

By integrating ClamAV or a cloud-based virus scanning API, you ensure each file is verified before it reaches your database or file server.

System Architecture

Here’s how the process works step by step:

Angular File Upload Component
        │
        ▼
ASP.NET Core File Upload API
        │
        ▼
Virus Scanner (ClamAV / External API)
        │
        ├── Clean → Store File (Database / Cloud / File System)
        └── Infected → Reject File & Log Event

Core Components

• Angular Frontend: Captures and uploads files.

• ASP.NET Core API: Receives and streams the file securely.

• ClamAV (or API): Scans uploaded files in real-time.

• Storage Layer: Saves only clean files to disk or cloud.

Step 1: File Upload in Angular

A simple Angular component for file upload:

@Component({
  selector: 'app-file-upload',
  template: `
    <h3>Upload File</h3>
    <input type="file" (change)="onFileSelected($event)" />
  `
})
export class FileUploadComponent {
  constructor(private http: HttpClient) {}

  onFileSelected(event: any) {
    const file = event.target.files[0];
    if (file) {
      const formData = new FormData();
      formData.append('file', file);
      this.http.post('https://yourapi.com/api/files/upload', formData)
        .subscribe({
          next: res => alert('File uploaded successfully!'),
          error: err => alert('Upload failed: ' + err.message)
        });
    }
  }
}

Step 2: File Upload API in ASP.NET Core

Create a secure upload endpoint that temporarily stores and scans the file.

[ApiController]
[Route("api/files")]
public class FileUploadController : ControllerBase
{
    private readonly IVirusScannerService _virusScanner;

    public FileUploadController(IVirusScannerService virusScanner)
    {
        _virusScanner = virusScanner;
    }

    [HttpPost("upload")]
    public async Task<IActionResult> UploadFile(IFormFile file)
    {
        if (file == null || file.Length == 0)
            return BadRequest("Invalid file");

        var tempPath = Path.Combine(Path.GetTempPath(), file.FileName);
        using (var stream = new FileStream(tempPath, FileMode.Create))
        {
            await file.CopyToAsync(stream);
        }

        var isClean = await _virusScanner.ScanFileAsync(tempPath);

        if (!isClean)
        {
            System.IO.File.Delete(tempPath);
            return BadRequest("Virus detected! Upload rejected.");
        }

        // Move to permanent storage
        var finalPath = Path.Combine("C:\\Uploads", file.FileName);
        System.IO.File.Move(tempPath, finalPath);

        return Ok("File uploaded and scanned successfully.");
    }
}

Step 3: Implementing Virus Scanning Service

Option 1: Using ClamAV (Local or Docker Instance)

ClamAV can run as a daemon (clamd) or via TCP.
Here’s an example using TCP scanning:

public class ClamAVVirusScanner : IVirusScannerService
{
    private readonly string _clamAVServer;
    private readonly int _clamAVPort;

    public ClamAVVirusScanner(IConfiguration config)
    {
        _clamAVServer = config["ClamAV:Server"];
        _clamAVPort = int.Parse(config["ClamAV:Port"]);
    }

    public async Task<bool> ScanFileAsync(string filePath)
    {
        using (var client = new TcpClient(_clamAVServer, _clamAVPort))
        using (var stream = client.GetStream())
        {
            var fileData = await File.ReadAllBytesAsync(filePath);
            var command = Encoding.UTF8.GetBytes("zINSTREAM\0");
            await stream.WriteAsync(command, 0, command.Length);
            await stream.WriteAsync(fileData, 0, fileData.Length);

            // End of stream
            await stream.WriteAsync(new byte[] { 0, 0, 0, 0 });

            byte[] responseBuffer = new byte[1024];
            int bytesRead = await stream.ReadAsync(responseBuffer);
            var response = Encoding.UTF8.GetString(responseBuffer, 0, bytesRead);

            return !response.Contains("FOUND");
        }
    }
}

Option 2: Using External Virus Scanning API

If you prefer cloud scanning (no setup required), you can use services like:

• VirusTotal API

• Cloudmersive Virus Scan

• Metadefender API

Example (VirusTotal)

public async Task<bool> ScanWithVirusTotalAsync(string filePath)
{
    using var http = new HttpClient();
    using var form = new MultipartFormDataContent();
    form.Add(new ByteArrayContent(await File.ReadAllBytesAsync(filePath)), "file", Path.GetFileName(filePath));

    http.DefaultRequestHeaders.Add("x-apikey", "YOUR_API_KEY");
    var response = await http.PostAsync("https://www.virustotal.com/api/v3/files", form);
    var content = await response.Content.ReadAsStringAsync();

    return !content.Contains("\"malicious\"");
}

Step 4: Security Best Practices

1. Always validate file type before upload.

2. Set max upload size in ASP.NET Core configuration.

3. Use random filenames to prevent path traversal.

4. Never execute or render uploaded files directly.

5. Log scan results and notify admins of any infected uploads.

Flowchart: File Upload + Virus Scanning Workflow

User Uploads File (Angular)
        │
        ▼
ASP.NET Core API Receives File
        │
        ▼
Temporary Storage (File System / Memory)
        │
        ▼
Virus Scanning (ClamAV or External API)
        │
        ├── Clean → Move to Final Storage
        └── Infected → Delete File + Log Event

Advanced Enhancements

• Asynchronous Scan Queue: Use background jobs to scan large files in parallel.

• Cloud Integration: Upload to Azure Blob or AWS S3 after scan.

• Dashboard View: Show scan history and infection statistics.

• Alerting System: Notify admin via email or Teams on detection.

Conclusion

A robust file upload pipeline with virus scanning not only improves security but also builds user trust.
By combining Angular, ASP.NET Core, and ClamAV (or any external API), you can easily implement a real-time scanning layer that keeps your ERP, CMS, or document portal safe from threats without compromising user experience. Security doesn’t have to slow you down — it can be seamlessly built into your system.

Best ASP.NET Core 10.0 Hosting Recommendation

One of the most important things when choosing a good ASP.NET Core 8.0 hosting is the feature and reliability. HostForLIFE is the leading provider of Windows hosting and affordable ASP.NET Core, their servers are optimized for PHP web applications. The performance and the uptime of the hosting service are excellent and the features of the web hosting plan are even greater than what many hosting providers ask you to pay for. 

At HostForLIFE.eu, customers can also experience fast ASP.NET Core hosting. The company invested a lot of money to ensure the best and fastest performance of the datacenters, servers, network and other facilities. Its datacenters are equipped with the top equipments like cooling system, fire detection, high speed Internet connection, and so on. That is why HostForLIFEASP.NET guarantees 99.9% uptime for ASP.NET Core. And the engineers do regular maintenance and monitoring works to assure its Orchard hosting are security and always up.

Read More...