> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/speech-models/speech-to-text/elevenlabs/scribe_v2.md).

# Scribe v2

{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:

* `elevenlabs/scribe_v2`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/elevenlabs/scribe_v2" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview

ElevenLabs Scribe v2 is a high-accuracy speech-to-text model for recorded audio in 90+ languages, with automatic language detection, speaker labels for up to 32 speakers, word-level timestamps and tags for sounds such as (laughter).

{% hint style="success" %}
[Create AI/ML API Key](https://aimlapi.com/app/keys)
{% endhint %}

<details>

<summary>How to make the first API call</summary>

**1️⃣ Required setup (don’t skip this)**\
▪ **Create an account:** Sign up on the AI/ML API website (if you don’t have one yet).\
▪ **Generate an API key:** In your account dashboard, create an API key and make sure it’s **enabled** in the UI.

**2️ Copy the code example**\
At the bottom of this page, pick the snippet for your preferred programming language (Python / Node.js) and copy it into your project.

**3️ Update the snippet for your use case**\
▪ **Insert your API key:** replace `<YOUR_AIMLAPI_KEY>` with your real AI/ML API key.\
▪ **Select a model:** set the `model` field to the model you want to call.\
▪ **Provide input:** fill in the request input field(s) shown in the example.

**4️ (Optional) Tune the request**\
See the API schema below for optional generation settings.

**5️ Run your code**\
Run the updated code in your development environment.

{% hint style="success" %}
For a detailed walkthrough, use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).
{% endhint %}

</details>

## API Schema

## POST /v1/stt/create

>

```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v1/stt/create":{"post":{"operationId":"_v1_stt_create","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["elevenlabs/scribe_v2"]},"url":{"type":"string","format":"uri","description":"URL of the input audio file. Provide either url or audio — exactly one is required, not both."},"audio":{"type":"string","description":"The audio file to transcribe. Provide either url or audio — exactly one is required, not both.","format":"binary"},"language_code":{"type":"string","description":"The language of the audio as an ISO-639-1 or ISO-639-3 code, for example \"en\" or \"heb\". Omit it to detect the language automatically."},"diarize":{"type":"boolean","description":"Label which speaker says each word (speaker_0, speaker_1, …)."},"num_speakers":{"type":"integer","minimum":1,"maximum":32,"description":"The maximum number of speakers in the audio, from 1 to 32. Helps speaker labelling; by default the model decides."},"timestamps_granularity":{"type":"string","enum":["none","word","character"],"description":"Timing detail in the answer: \"word\" (the default) or \"character\" timings for every word, or \"none\"."},"tag_audio_events":{"type":"boolean","description":"Tag non-speech sounds such as (laughter) or (applause) in the transcript. On by default."},"no_verbatim":{"type":"boolean","description":"Leave out filler words, false starts and non-speech sounds."},"temperature":{"type":"number","nullable":true,"minimum":0,"maximum":2,"description":"Randomness of the transcription, from 0 to 2. By default the model picks it (usually 0)."},"seed":{"type":"integer","nullable":true,"minimum":0,"maximum":2147483647,"description":"Best-effort deterministic sampling: repeated requests with the same seed and parameters should return the same transcript."}},"required":["model"],"title":"elevenlabs/scribe_v2"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"generation_id":{"type":"string"}},"required":["generation_id"]}}},"description":"Successful response."}}}}}}
```

## Code Example

{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}

```python
import requests

response = requests.post(
    "https://api.aimlapi.com/v1/stt/create",
    headers={
        "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
        "Content-Type": "application/json",
    },
    json={'model': 'elevenlabs/scribe_v2'},
)

print(response.json())
```

{% endcode %}
{% endtab %}

{% tab title="JavaScript" %}
{% code overflow="wrap" %}

```javascript
const response = await fetch('https://api.aimlapi.com/v1/stt/create', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "model": "elevenlabs/scribe_v2"
}),
});

console.log(await response.json());
```

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

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json
{
  "generation_id": "<generation_id>",
  "model": "elevenlabs/scribe_v2"
}
```

{% endcode %}

</details>


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.aimlapi.com/api-references/speech-models/speech-to-text/elevenlabs/scribe_v2.md?ask=<question>&goal=<user_goal>
```

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