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Cover image for TranscribeNow : Live Note-taking and Subtitles
Fabrikapp
Fabrikapp

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TranscribeNow : Live Note-taking and Subtitles

This is a submission for the AssemblyAI Challenge : Really Rad Real-Time.

What I Built

For the AssemblyAI Challenge, I developed a real-time audio transcription and note-taking application. This project combines the power of AssemblyAI's Streaming API with a user-friendly interface to provide instant transcription, live note-taking, and AI-assisted content generation.

The application consists of three main components:

  1. A Chrome extension for capturing tab audio, displaying subtitles, and fetching audio from any webpage or microphone
  2. A server-side component for handling WebSocket connections and interacting with AssemblyAI's API
  3. A frontend web application for displaying transcriptions and managing notes. The user will be able to rewrite and generate notes from a recorded session

Demo

Live demo : https://devto-assemblyai-hackaton-frontend-581527456637.us-central1.run.app/

Source Code

Source Code Repository

Screenshots

Note Generation
Review and edit transcribed sessions with additional context and notes

List Your Sessions
AI-assisted note generation based on the transcribed content

Dashboard
The dashboard interface showing live transcription and note-taking stats

Journey

Implementing AssemblyAI's Streaming API was an exciting process that involved several key steps:

  1. Setting up the WebSocket connection: I used the Hono framework to create a WebSocket server that acts as a bridge between the client and AssemblyAI's API.

  2. Audio capture and streaming: I developed a Chrome extension to capture tab audio and stream it to our server. The extension uses the chrome.tabCapture API to access the audio stream.

  3. Real-time transcription display: On the frontend, I created a React component to display the live transcription as it comes in from the WebSocket.

  4. AI-assisted note generation: I implemented a feature that allows users to generate notes based on the transcribed content using AI-powered instructions.

One of the most challenging aspects was ensuring a smooth, real-time experience while handling the continuous stream of audio data and transcription results. I had to carefully manage state updates and optimize rendering to prevent lag or jitter in the user interface.

I am really happy to be able to connect AssemblyAI To any webpage for instant note taking and more !

By integrating these additional tools, I was able to create a more comprehensive and powerful application that goes beyond simple transcription. The Chrome extension allows for seamless audio capture from any web content, while the AI-assisted content generation provides valuable insights and summaries to users, making their note-taking process more efficient and effective.

Throughout this project, I gained valuable experience in working with real-time audio processing, WebSocket communication, and integrating AI capabilities into a web application. The AssemblyAI Streaming API proved to be robust and reliable, enabling me to create a responsive and accurate transcription experience for users.

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