khushi-rajput04 / Transkriber-SpeechRecognition-Website

Transkriber-SpeechRecognition-Website

Overview

Transkriber is a web application designed to transcribe speech into text using speech recognition technology. This project combines the power of modern web development and machine learning to provide an easy-to-use platform for speech transcription.

Features

• Speech Recognition: Convert speech to text in real-time.
• User-Friendly Interface: Simple and intuitive UI for easy navigation.
• Input Audio: Upload audio file(wav) or use microphone to convert speech to text.

Technologies Used

• Frontend: HTML, CSS
• Backend: Flask (Python)
• Speech Recognition: Google Speech Recognition API

Installation

1. Clone the repository:

   git clone https://github.com/khushi-rajput04/Transkriber-SpeechRecognition-Website.git

2. Navigate to the project directory:

   cd Transkriber-SpeechRecognition-Website

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the application:

   python app.py

Usage

• Open your web browser and go to http://127.0.0.1:5000.
• Use the interface to start recording and transcribing speech.