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.js
and .env
Clean 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.
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