> For the complete documentation index, see [llms.txt](https://docs.sensecrypt.com/opencv-face-recognition-server/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sensecrypt.com/opencv-face-recognition-server/quickstart/starting-the-server.md).

# Starting the server

How to start the Docker container

Our Docker image can run on x86-64 CPU.

Follow the instructions below to run the server docker. 

As the first step, you need to load the Docker image from the provided file.

```
docker load -i opencv-fr-server.tar
```

After loading the image, you can start the server via the script below. This script will start a docker container with the Server image and copy the license and server-config information into that container:

```
./start-docker-with-license.sh
```

Once the server is running, you can access the API documentation/OpenAPI **Swagger Docs** page by going to a browser on the local machine via:

```
http://localhost:7777/docs
```

The **Swagger Docs** page is useful to test the web APIs from your browser. The Swagger framework allows developers to create interactive, machine and human-readable API documentation. It is the framework that REST API developers are most familiar with.

We also provide RapiDoc documentation that is **better looking and easier to read**:

```
http://localhost:7777/rapidoc
```

> Every time a Docker container is restarted, it assumes a new ID. Since only 5 concurrent IDs are allowed (by default) in the license, you might encounter an error if you frequently start/stop the Docker images. Thus, it is recommended to start a Docker image only once and let it run.

Once you have successfully run the server, you can access **the developer portal** from your browser at \<Server URL>/ui. For e.g if your Server Url is [http://localhost:7777](http://localhost:7777/ui/login), frontend will be available at [http://localhost:7777/ui](http://localhost:7777/ui/login). For detailed information about the developer portal, you can navigate to the [link](/opencv-face-recognition-server/developer-portal.md).