Metadata-Version: 2.1
Name: NetHyTech-STT
Version: 0.2
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: Documentation, https://github.com/Anubhavchaturvedi/NetHyTech-STT/wiki
Project-URL: Source Code, https://github.com/AnubhavChaturvedi-GitHub/NetHyTech_STT.git
Project-URL: Demo Video, https://www.youtube.com/channel/NetHyTech
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/plain
Requires-Dist: selenium
Requires-Dist: webdriver_manager

NetHyTech-STT is your go-to solution for converting speech to text effortlessly using Python. 
                        Whether you're transcribing audio files, building voice-enabled chatbots, or creating automatic 
                        transcriptions for videos and podcasts, NetHyTech-STT has you covered.

                        Key Features:
                        - Seamless integration with Selenium and the webdriver_manager
                        - Supports Python 3.8 and above
                        - Easy-to-use interface for live speech-to-text conversion
                        - Works with various web-based speech recognition APIs
                        
                        Use Cases:
                        - Transcribe lectures or meetings
                        - Build voice-controlled applications
                        - Create transcripts for videos and podcasts
                        - Enhance accessibility features in your apps
                        
                        Get Started:
                        - Visit the GitHub repository for detailed documentation and usage examples: 
                          https://github.com/Anubhavchaturvedi/NetHyTech-STT
                        - Watch our demo and tutorials on YouTube: 
                          https://www.youtube.com/channel/NetHyTech-STT
                        
                        Connect with Us:
                        - YouTube: https://www.youtube.com/channel/NetHyTech-STT
                        - Instagram: https://www.instagram.com/nethytech_stt
                        - Facebook: https://www.facebook.com/nethytech_stt
                        
                        License: MIT License
                        
                        
