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Home»ADOPTION NEWS»Implementing Speech-to-Text using JavaScript and Node.js
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Implementing Speech-to-Text using JavaScript and Node.js

By Crypto FlexsNovember 26, 20242 Mins Read
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Implementing Speech-to-Text using JavaScript and Node.js
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Yorg Healer
November 25, 2024 16:18

Learn how to convert audio to text using AssemblyAI’s API with JavaScript and Node.js. This guide provides a step-by-step approach to building an enterprise-ready CLI app.





AssemblyAI has released a comprehensive tutorial on how to leverage its API to convert audio and video files to text using JavaScript and Node.js. This guide aims to simplify the process of setting up a command line interface (CLI) application for speech-to-text, providing developers with a practical approach to integrating this technology.

Development environment settings

The tutorial begins by guiding users through setting up their development environment. We recommend creating a new directory, initializing your Node.js project, and installing the following required packages: dotenv API key management and node-fetch This is for making HTTP requests. Users are advised to create three files. upload.js, download.jsand .envClean up your code.

Upload audio file

The next step involves writing a script to upload the audio file to the AssemblyAI API. Users are instructed to import the required packages and define API endpoints. This tutorial explains how to pass the URL of an audio file as a command line argument and then send it to the API using a POST request. A response, including the company ID, is printed to the console.

Getting script

Once the audio file is uploaded, the tutorial shows you how to retrieve the transcript. By passing the transcription ID as a command line argument, users can check the transcription status by sending a GET request to the API endpoint. Guides include the ability to handle various states, letting users know if a transcription is still being processed or is complete.

real world application

This tutorial not only provides a basic understanding of speech-to-text functionality integration, but also provides insight into practical applications. Developers can explore further customization and integration of the API in larger projects. For those interested in experimenting with the Speech-to-Text API, AssemblyAI offers additional resources and support.

For more detailed instructions, visit the full tutorial on AssemblyAI.

Image source: Shutterstock


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