Asp net core web api docker vosk library


ASP.NET is a popular programming language used for building web applications. In this article, we will explore how to use ASP.NET to create a web API using the Docker containerization platform and the Vosk library.

up the Environment

Before we dive into the code, let's make sure we have the necessary tools and libraries installed. First, we need to have ASP.NET Core installed on our machine. You can download it from the official Microsoft website and follow the installation instructions.

Next, we need to install Docker on our machine. Docker allows us to create and containers, which are lightweight and isolated environments for running our applications. You can download Docker from the official Docker website and follow the installation instructions for your operating system.

Finally, we need to install the Vosk library, which is a powerful recognition library. You can install it using the package manager in Visual Studio or by running the following command in the terminal:

dotnet add package Vosk

Creating the ASP.NET Core Web API

Now that we have our environment set up, let's create a new ASP.NET Core Web API . Open your preferred environment, such as Visual Studio or Visual Studio Code, and create a new ASP.NET Core Web API project.

Once the project is created, open the .cs file. This file contains the configuration for our application. We need to add the necessary services and middleware to enable Docker containerization and the Vosk library.

First, let's add the Docker support. Open the ConfigureServices method and add the following code:


This code adds the Docker services to our application, allowing us to and run Docker containers.

Next, let's integrate the Vosk library. Open the ConfigureServices method again and add the following code:


This code adds the Vosk services to our application, enabling us to use the speech recognition capabilities of the library.

Implementing the Speech Recognition API

Now that we have our project set up, let's implement the speech recognition API using the Vosk library. Open the Controllers folder and create a new controller called SpeechRecognitionController.cs.

In this controller, we will define an endpoint that accepts files and returns the recognized speech. Add the following code to the controller:

public IActionResult RecognizeSpeech(IFormFile audioFile)
    // Code to recognize speech using the Vosk library
    // ...

This code defines a POST endpoint called RecognizeSpeech that accepts an audio file as input. Inside the method, you can write the code to recognize the speech using the Vosk library.

Running the Application in a Docker Container

Now that we have implemented our speech recognition API, let's run the application in a Docker container. Open a terminal or command prompt and navigate to the root folder of your project.

First, we need to build the Docker image. Run the following command:

docker build -t speech-recognition-api .

This command builds a Docker image with the name speech-recognition-api based on the Dockerfile in your project.

Once the image is built, we can run a Docker container using the following command:

docker run -d -p 8080:80 speech-recognition-api

This command runs a Docker container based on the speech-recognition-api image and maps port 8080 of the host machine to port 80 of the container.

Testing the Speech Recognition API

Now that our application is running in a Docker container, we can test the speech recognition API. Open a web browser or a tool like Postman and make a POST request to http://localhost:8080/api/speech/recognize with an audio file as the request body.

The API will process the audio file using the Vosk library and return the recognized speech as the response.


In this article, we have explored how to use ASP.NET to create a web API for speech recognition using the Docker containerization platform and the Vosk library. We have seen how to set up the environment, create the ASP.NET Core Web API, implement the speech recognition API, run the application in a Docker container, and test the API. With this knowledge, you can now build powerful speech recognition applications using ASP.NET.

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