Implementing Speech-to-Text with JavaScript and Node.js
Joerg Hiller Nov 25, 2024 16:18
Learn to transform audio into text using AssemblyAI's API with JavaScript and Node.js. This guide provides a step-by-step approach to building a CLI app for transcription.
AssemblyAI has released a comprehensive tutorial on utilizing its API to convert audio and video files into 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 transcription, offering developers a practical approach to integrating this technology.
Setting Up the Development Environment
The tutorial begins by guiding users through the setup of their development environment. It suggests creating a new directory, initializing a Node.js project, and installing necessary packages like dotenv for managing API keys and node-fetch for making HTTP requests. Users are advised to create three files, upload.js, download.js, and .env, to organize their code.
Uploading Audio Files
The next step involves writing a script to upload audio files to the AssemblyAI API. Users are instructed to import required packages and define the API endpoint. The tutorial explains how to pass a URL of an audio file as a command-line argument, which is then sent to the API using a POST request. The response, including a transcription ID, is printed to the console.
Fetching Transcriptions
Once the audio file is uploaded, the tutorial demonstrates how to retrieve the transcription. By passing the transcription ID as a command-line argument, users can make a GET request to the API endpoint to check the status of their transcription. The guide includes a function to handle different statuses, ensuring users are informed if the transcription is still processing or completed.
Practical Applications
This tutorial not only provides a foundational understanding of integrating speech-to-text functionality but also offers insights 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 provides additional resources and support.
For more detailed guidance, visit the full tutorial on AssemblyAI.
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