Transcribe audio to text on Cloudflare Workers with AssemblyAI, Node.js, and TypeScript

Creating a Cloudflare Worker project involves setting up your development environment with the correct Node.js version, installing the necessary npm packages, and initializing a new worker using wrangler init. After that, you can start developing your Cloudflare Worker by modifying the generated files. Once done, you can test your changes locally before deploying to the Cloudflare Workers runtime environment. AssemblyAI is an API for speech recognition. It provides APIs for transcribing audio files and identifying various aspects of speech such as speaker diarization, automatic punctuation, topics detection, sentiment analysis, and more. You can use these APIs in your application by making HTTP requests to the AssemblyAI server using appropriate authentication headers. In this tutorial, we used Cloudflare Workers to create an application that transcribes audio files uploaded by users. We utilized a router to define different URL patterns and associated route handlers. We also handled file uploads by defining a form submission event handler. Furthermore, we created transcript objects using the AssemblyAI API and redirected users to a new URL with a HTTP 303 status code for displaying the transcript text or processing status based on the current state of the transcript object. Overall, this tutorial demonstrated how to leverage Cloudflare Workers and AssemblyAI API in combination to create an audio transcribing web application.