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pcf_speechtotext's Introduction

SpeechToText Web Component

SpeechToText is a custom web component built using the Power Apps Component Framework (PCF). This component enables users to convert speech to text in real-time within a canvas application. It provides a user-friendly interface for capturing audio input, transcribing it into text, and allowing users to select the desired language for transcription.

Features
Real-time Speech to Text: Convert spoken words into text in real-time.
Language Selection: Choose from multiple languages for accurate transcription.
Easy Integration: Seamlessly integrate the component into canvas applications.
Customizable: Customize the component's appearance and behavior to suit your needs.
Responsive Design: Works flawlessly on desktop and mobile devices.

Usage
To use this SpeechToText component in your Power Apps application, follow these steps:

Build the project using your preferred build tools.
Deploy the generated solution file in your Power Apps environment.
Add the Component to Your App:

In your Power Apps app, go to the desired screen where you want to add speech-to-text functionality.
Add a new component and select "SpeechToText" from the available components.

Configure Component Properties:
Configure the language and other settings for the component as per your requirements.

Start Transcribing:
Click the microphone button to start transcribing speech to text in real-time.

Prerequisites
Power Apps account with necessary permissions to import custom components.
Node.js and npm installed on your development machine for building the project.

Installation
To install this component in your Power Apps environment, follow the steps mentioned in the Power Apps Component Framework documentation.

Contributing
Contributions are welcome! If you find any issues or have suggestions for improvements, please create a GitHub issue or submit a pull request.

License
This project is licensed under the MIT License - see the LICENSE file for details.

Feel free to modify the content based on your specific use case and project details. Make sure to update the installation steps and prerequisites based on the actual requirements of your component.

Reach me out incase any queries. mail:[email protected]

pcf_speechtotext's People

Contributors

sameerjkl avatar

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