> For the complete documentation index, see [llms.txt](https://dibd-bhashini.gitbook.io/bhashini-apis/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dibd-bhashini.gitbook.io/bhashini-apis/audio-language-detection-compute-call/request-payload.md).

# Request Payload

{% tabs %}
{% tab title="Audio language detection" %}
{% code overflow="wrap" lineNumbers="true" %}

```json
{ 
  "pipelineTasks": [ 
      { 
        "taskType": "audio-lang-detection",
        "config": {
                  "serviceId": "{{ald_service_id}}"
                  } 
      }
],
"inputData": {
    "audio": [
        {
            "audioContent": "INSERT_BASE64_AUDIO_HERE"
          //"audioUri": "INSERT_AUDIO_URL_HERE"
        }
    ]
}
}

```

{% endcode %}
{% endtab %}
{% endtabs %}

This request contains 2 major parameters listed below and detailed further down the section:

1. pipelineTasks
2. inputData

### Parameter: `pipelineTasks`

**Type:** Array\
\
This parameter takes an array of tasks, in the form of dictionary of **`taskType`** and **`config`**, that are to be done by the integrator. \
In the above example, **`pipelineTasks`** takes only one dictionary (line 2-9) because integrator wants to do only Audio language detection.\
\
\&#xNAN;**`taskType`** parameter takes `String` that takes the value **audio-lang-detection**

**`config`** is a single key parameter which maps to another object called **serviceId**

{% tabs %}
{% tab title="serviceId" %}
serviceId parameter identifies the specific service/trained model you want to use.

For serviceId as "**bhashini/iitmandi/audio-lang-detection/gpu**", below are the supported languages-

* Assamese
* Bengali
* English
* Hindi
* Kannada
* Gujarati
* Malayalam
* Marathi
* Odia
* Punjabi
* Tamil
* Telugu
  {% endtab %}
  {% endtabs %}

### Parameter: `inputData`

inputData Parameter takes the actual input from the integrator on which the individual task has to be done.  in this case, the input is taken via audioUri or audioContent (base64 format).<br>

{% hint style="info" %}
either user can pass **audioUri** as input or **audioContent** as input.
{% endhint %}