Transcription audio à partir d'URL

JavaScriptCopier le texteTexte copié
import { UrlTranscription } from '@vocalstack/js-sdk';

const sdk = new UrlTranscription({ apiKey: 'YOUR-API-KEY' });
const transcription = await sdk.connect({
  url: 'http://example.com/files/meaningless.mp3',
});

transcription.start();

// This will print the transcription data as it comes in
transcription.onData(console.log);

/*
{
  status: 'processing',
  data: {
    id: 'd1e7b3b0-7b3b-4b3b-8b3b-0b3b7b3b3b3b',
    operation: 'transcription-prerecorded',
    progress: 0.1,
    timeline: [
      {
        start: 0,
        end: 7.52,
        text: 'Meaningless, meaningless, says the teacher, utterly meaningless, everything is meaningless.',
        language: 'en',
        translations: { ... },
      },
      ...
    ]
  }
}
*/

JavaScriptCopier le texteTexte copié
// Run "npm install @voca l-stack/js-sdk" to install the package
import { UrlTranscription } from '@vocalstack/js-sdk';

// Get your key here ⇢ https://www.vocalstack.com/dashboard/api-keys
const sdk = new UrlTranscription({ apiKey: 'YOUR-API-KEY' });

const transcription = await sdk.connect({
  // URL to the audio file
  url: 'http://example.com/files/audio.mp3',
  // Optional: language of the speech spoken
  // (this can be used to improve the transcription accuracy)
  language: 'en',
  // Optional: the maximum duration to transcribe, in seconds
  // (if not provided, the entire audio file will be transcribed)
  max_duration_s: 1800,
  // Optional: the actual duration of the audio file, in seconds
  // (the transcription starts only if the audio file matches this duration)
  duration_s: 3600,
});

// Start the transcription
transcription.start();

// Listen for transcription data
transcription.onData((response) => {
  const { status, data } = response;
  console.log(status); // 'waiting', 'processing', 'done', or 'error'
  if (data) {
    console.log(data.progress); // a value between 0 and 1
    console.log(data.timeline); // an object with the transcription timeline
  }
  if (status === 'done') {
    console.log(data.summary); // a summary of the transcription
    console.log(data.keywords); // an array of keywords
    console.log(data.paragraphs); // the entire transcription in paragraph form
  }
});