aditya-xq / captions

Transcription App

Overview

This Transcription App is designed to provide an efficient and user-friendly interface for transcribing, managing, and editing audio and video files. It features a robust frontend built with Next.js and a powerful Python Flask backend.

Features

• File Upload and Management
• Automatic Speech-to-Text Transcription
• Time-Synced Transcript Display
• Editable Transcripts with Time Codes
• Search Functionality within Transcript
• Automatic Caption Generation
• Customization Options for Captions
• Export Options for Transcripts and Captions
• Basic Analytics

Getting Started

Prerequisites

• Node.js (for Next.js frontend)
• Python 3 (for Flask backend)
• Git (optional for cloning the repository)

Installation

1. Clone the Repository (Optional)

   git clone [URL_of_Your_Repository]
   cd transcription-app

2. Set up the Backend

   • Navigate to the backend directory:

     cd backend

   • Install the required dependencies (creating virtual env is recommended):

     pip install flask jinja2 markupsafe flask_restful

   • Start the Flask server:

     python app.py

3. Set up the Frontend

   • Open a new terminal and navigate to the frontend directory:

     cd webapp

   • Install dependencies:

     npm install

   • Start the Next.js development server:

     npm run dev

Usage

After starting both the frontend and backend servers, you can access the web app at http://localhost:3000 in your browser.

Contributing

Contributions to this project are welcome. Please follow the standard fork-and-pull request workflow.