Speech-to-Text Web Application

A web-based speech-to-text application that converts spoken words into text using Google's Speech Recognition API. The application features a modern, responsive user interface and real-time audio processing.

Features

• Real-time audio recording through browser
• Speech-to-text conversion using Google's Speech Recognition API
• Modern and responsive user interface
• Automatic audio format conversion for compatibility
• Error handling and user feedback

Prerequisites

• Python 3.x
• pip (Python package installer)
• ffmpeg (for audio processing)

Installation

1. Clone the repository:

git clone <your-repository-url>
cd <repository-name>

2. Install the required Python packages:

pip install -r requirements.txt

3. Install ffmpeg (if not already installed):

• On macOS:

brew install ffmpeg

• On Ubuntu/Debian:

sudo apt-get install ffmpeg

• On Windows: Download from ffmpeg.org

Usage

1. Start the Flask server:

python app.py

2. Open your web browser and navigate to:

http://127.0.0.1:5000

3. Click the "Start Recording" button and speak
4. Click "Stop Recording" when finished
5. The transcribed text will appear below

Project Structure

├── app.py              # Flask backend
├── requirements.txt    # Python dependencies
├── static/
│   └── style.css      # CSS styles
└── templates/
    └── index.html     # Frontend template

Technologies Used

• Python
• Flask
• SpeechRecognition
• PyAudio
• pydub
• HTML5
• CSS3
• JavaScript

License

This project is open source and available under the MIT License.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.