Metadata-Version: 2.1
Name: NetHyTech-STT
Version: 1.0
Summary: NetHyTech-STT: Convert Speech to Text with Ease!
Home-page: https://github.com/Anubhavchaturvedi/NetHyTech-STT
Author: Anubhav Chaturvedi
Author-email: chaturvedianubhav520@example.com
Project-URL: Source Code, https://github.com/AnubhavChaturvedi-GitHub/NetHyTech_STT.git
Project-URL: Demo Video, https://www.youtube.com/channel/UC7YDMgu0dMRZotLMuB3oEcQ
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: selenium
Requires-Dist: webdriver-manager


# 🚀 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](https://pypi.org/project/NetHyTech-STT/).

```bash
pip install NetHyTech-STT
```

## 🚀 Usage

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

```python
from NetHyTech_STT import listen

if __name__ == "__main__":
    listen()
```

For more advanced usage examples and detailed documentation, please visit the [GitHub repository](https://github.com/AnubhavChaturvedi-GitHub/NetHyTech_STT.git).

## 📚 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:

- YouTube: [NetHyTech](https://www.youtube.com/channel/UC7YDMgu0dMRZotLMuB3oEcQ)
- Instagram: [NetHyTech](https://www.instagram.com/_anubhav__chaturvedi_/)

## 📄 License

NetHyTech-STT is licensed under the [MIT License](LICENSE).
