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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