Speech-to-Text (Batch)

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Getting Started

This guide will walk you through how to transcribe pre-recorded audio with the Reverie API. We provide two scenarios to try: transcribe a remote file and transcribe a local file.

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Install Dependencies

npm i @reverieit/reverie-client

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Transcribe Audio from a Remote Stream

To transcribe pre-recorded audio using one of Reverie’s API, follow these steps.

const ReverieClient = require("reverie-client");

const reverieClient = new ReverieClient({
apiKey: "YOUR-API-KEY",
appId: "YOUR-APP-ID",
});

const response = await reverieClient.transcribeAudio({
audioFile: file,
language: lang,
subtitles: subtitles
});

console.log("Response from API:", response);

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Results

In order to see the results from Reverie, you must run the application. Run your application from the terminal. Your transcripts will appear in your shell.

# Run your application using the file you created in the previous step
# Example:
npm start

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Analyzing the Response

{
  "job_id": "e21f356d-cbf9-4d62-a960-1e9da1805d19",
  "code": "000",
  "message": "Transcript ready.",
  "result": {
    "transcript": "Hello. Welcome to Reverie.",
    "original_transcript": "HELLO. WELCOME TO REVERIE.",
    "channel_number": 1,
    "words": [
      [
        {
          "conf": 0.991683,
          "end": 0.21,
          "start": 0.09,
          "word": "HELLO"
        },
        {
          "conf": 1.0,
          "end": 0.6,
          "start": 0.21,
          "word": "WELCOME"
        },
        {
          "conf": 0.99723,
          "end": 0.72,
          "start": 0.6,
          "word": "TO"
        },
        {
          "conf": 1.0,
          "end": 1.320315,
          "start": 0.72,
          "word": "REVERIE"
        }
      ]
    ],
    "subtitles": "1\n00:00:00,090 --> 00:00:06,900\nHELLO. WELCOME TO REVERIE.\n\n"
  }
}

In this response we see:

• job_id : A unique Identity number auto-assigned by the API for each request.
• code : Provides a message code which can be used to look up the nature of the response returned by the API.
• message :Provides a brief description about the response returned by the API.
• result : An array of transcript objects including, channel_number, transcript, list of words with start time, end time and confidence.Please check the sample response.

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Key Features

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Sample Code

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FAQs

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Supported Languages

The Speech-to-Text solution supports transcription in multiple languages, tailored for diverse regional and linguistic needs:

• hi - Hindi
• bn - Bengali
• gu - Gujarati
• kn - Kannada
• ml - Malayalam
• mr - Marathi
• pa - Punjabi
• ta - Tamil
• te - Telugu
• en - Indian English
• as - Assamese
• or - Odia

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Supported Audio Formats

The Speech-to-Text solution supports various audio formats for flexible integration:

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API Messages