> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sunra.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Speech to Text

To convert speech to text using the sunra API, you need to send a request to the appropriate endpoint with the required input parameters. The API leverages pre-trained models to transcribe audio files into text, enabling seamless conversion by simply providing an audio file.

Here's how you can use the sunra API for speech-to-text conversion:

<CodeGroup>
  ```javascript Javascript theme={null}
  import { sunra } from "@sunra/client";

  const result = await sunra.subscribe("elevenlabs/scribe-v1/speech-to-text", {
    input: {
      audio: 'https://assets.sunra.ai/uploads/1749243418768-74d68e25.wav',
      language: 'English',
      tag_audio_events: true,
      speaker_diarization: false
    },
    logs: true,
    onQueueUpdate: (update) => {
      console.log(update)
    },
  });
  console.log(result.data);
  console.log(result.requestId);
  ```

  ```python Python theme={null}
  import sunra_client

  result = sunra_client.subscribe(
      "elevenlabs/scribe-v1/speech-to-text",
      arguments={
          "audio": "https://assets.sunra.ai/uploads/1749243418768-74d68e25.wav",
          "language": "English",
          "tag_audio_events": True,
          "speaker_diarization": False
      },
      with_logs=True,
      on_enqueue=print,
      on_queue_update=print,
  )
  print(result) 
  ```

  ```java Java theme={null}
  import ai.sunra.client.*;
  import java.util.Map;
  import com.google.gson.JsonObject;

  var client = SunraClient.withEnvCredentials();

  var response = client.subscribe(
      "elevenlabs/scribe-v1/speech-to-text",
      SubscribeOptions.<JsonObject>builder()
          .input(Map.of(
              "audio", "https://assets.sunra.ai/uploads/1749243418768-74d68e25.wav",
              "language", "English",
              "tag_audio_events", true,
              "speaker_diarization", false))
          .resultType(JsonObject.class)
          .onQueueUpdate(update -> System.out.printf(
              "\nStatus Update: %s, Request ID: %s%n",
              update.getStatus(),
              update.getRequestId()
          ))
          .logs(true)
          .build()
  );

  System.out.println("Completed!");
  System.out.println(response.getData());
  ```

  ```bash Curl theme={null}
  curl --request POST \
    --url https://api.sunra.ai/v1/queue/elevenlabs/scribe-v1/speech-to-text \
    --header "Authorization: Key $SUNRA_KEY" \
    --header "Content-Type: application/json" \
    --data '{"audio":"https://assets.sunra.ai/uploads/1749243418768-74d68e25.wav","language":"English","tag_audio_events":true,"speaker_diarization":false}'

  ```
</CodeGroup>

### Choosing the Right Model

sunra provides a range of speech-to-text models to suit different needs. Select a model based on your requirements for accuracy and performance.

Here are some available options:

* **[elevenlabs/scribe-v1](https://sunra.ai/models/elevenlabs/scribe-v1)**: 99-language speech-to-text with word-level timestamps and diarisation—the company’s most accurate ASR yet.

To use a specific model, specify its ID in the `subscribe` method as shown in the example. For more models and details, visit the [Speech to Text Models](https://sunra.ai/models?modalities%5B0%5D=modality-audio-text) page.