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NetHyTech-STT: Convert Speech to Text with Ease!

Project description

🚀 NetHyTech-STT

NetHyTech-STT is a Python package for seamless speech-to-text (STT) conversion using Selenium. It offers an easy-to-use interface for transcribing speech from various sources into text format.

✨ Features

  • Simple Integration: Easily convert speech to text using Selenium and the webdriver_manager.
  • Versatile Usage: Suitable for a wide range of applications, including transcription of audio files, live speech-to-text conversion in web applications, and more.
  • Python Compatibility: Compatible with Python 3.8 and above.
  • Flexible Configuration: Customize settings such as browser options for optimal performance.

🛠️ Installation

You can install NetHyTech-STT via pip:

Pypi link :- pip.

pip install NetHyTech-STT

🚀 Usage

Here's a simple example demonstrating how to use NetHyTech-STT:

from NetHyTech_STT import listen

if __name__ == "__main__":
    listen()

For more advanced usage examples and detailed documentation, please visit the GitHub repository.

📚 Examples

Explore the examples directory for additional usage examples and sample scripts.

🤝 Contributing

Contributions are welcome! If you have ideas for improvements, feature requests, or bug reports, please open an issue on GitHub or submit a pull request.

📱 Contact

For any questions, feedback, or support, feel free to reach out:

📄 License

NetHyTech-STT is licensed under the MIT License.

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