Implemented speech-to-text conversion using JavaScript and Node.js

AssemblyAI has released a comprehensive tutorial on using 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 speech-to-text CLI application, providing developers with a practical approach to integrating this technology.

Creating the development environment

The tutorial begins by walking users through the process of setting up their development environment. It is suggested to create a new directory, initialize the Node.js project, and install necessary packages e.g dotenv To manage API keys and node-fetch To make HTTP requests. Users are advised to create three files, upload.js, download.jsand .envto organize their code.

Download audio files

The next step involves writing a script to upload the audio files to the AssemblyAI API. Users are required to import the required packages and specify an API endpoint. The tutorial explains how to pass the URL of an audio file as a command line argument, which is then sent to the API using a POST request. The response, including the copy ID, is printed to the console.

Bring copies

Once the audio file is uploaded, the tutorial explains how to recover the transcription. By passing the clone ID as a command line argument, users can make a GET request to the API endpoint to check the status of their clone. The manual includes a function to handle different statuses, ensuring that users are informed if the copy process is still in process or completed.

Practical applications

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

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

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