Sophisticated Speech-to-Text Application using AssemblyAI

Journey

I implemented AssemblyAI's Streaming API to bring real-time transcription to life. Here are the steps I followed:

1. Backend Setup: I set up an Express server to manage WebSocket connections, allowing the app to send audio data to AssemblyAI's streaming endpoint.




2. Frontend Integration: Using React, I built a user-friendly interface that lets users start and stop transcriptions. I used Socket.IO to handle communication between the client and server.




3. AssemblyAI Integration: I utilized AssemblyAI’s SDK to connect my application to the Universal-2 model. I configured the API to support speaker diarization and highlights.

Challenges Faced:

• Understanding the WebSocket integration was challenging, but the AssemblyAI documentation provided valuable guidance.




• Fine-tuning the real-time aspects of the application was also tricky, particularly with managing data flow between the backend and frontend efficiently.

Installation Instructions

1. 
   Clone the Repository:

bash

   git clone https://github.com/DesignByDevDan/AssemblyAI-Challenge.git