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SwapScribe

This web application provides tools for anonymising and de-anonymising content, particularly useful for managing sensitive information in text data. It allows users to define categories (e.g., Person, Location, Project) and replace instances of these categories in the content with anonymised labels. Additionally, it supports saving and loading collections of categories for efficient data management.

Hosted Version

https://loquacious-zuccutto-019ed2.netlify.app

Features

  • Anonymise Content: Replace specified categories of information in the text with anonymised labels.
  • De-anonymise Content: Revert anonymised labels back to their original information.
  • Category Management: Add, edit, and remove categories of information to be anonymised.
  • Save and Load Collections: Save categories into collections and load them for later use.

Getting Started

Prerequisites

Ensure you have a modern web browser installed on your computer. This application is designed to run in any contemporary web browser such as Chrome, Firefox, Safari, or Edge.

Installation

No installation is required. The application can be accessed directly through a web browser.

Usage

Anonymising Content

  1. Enter the types of information you wish to anonymise in the "Category Management" section.
  2. Type or paste the content you want to anonymise in the "Content" panel.
  3. Press the "Anonymise" button to replace the specified information with anonymised labels.

De-anonymising Content

  1. With the content already anonymised, press the "De-anonymise" button to revert the content to its original form.

Managing Categories

  • Add a new category by typing the category name and clicking the "Add" button.

Managing Items

  • Add a new item to a cateogry by typing the item such as "Ryan" and clicking the "Add" button.
  • Remove an item from a category by clicking on it in the list below the input field.

Saving and Loading Collections

  • Save your current set of categories by clicking the "Save" button and providing a name for the collection.
  • Load a previously saved collection by selecting it from the dropdown menu and clicking the "Load" button.

Contributing

Contributions are welcome. Please open an issue first to discuss what you would like to change or add.

License

MIT

Acknowledgements

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