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:

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);

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) 

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());

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}'

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: 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 page.

Overview

Platform

Multimodal

LLM

Client Libraries

Choosing the Right Model

​Choosing the Right Model

Choosing the Right Model