labeling-tool is powerful package built with React. It is designed for data labeling to assist with document markup tasks and training ML models.

Data labeling involves adding relevant keywords to unstructured data, such as text or images, enabling machines to automatically recognize and categorize the information. As the crucial first step in the ML lifecycle, data labeling forms the foundation for accurate predictive models.

The labeling-tool package simplifies editing table layouts and labeling documents, ultimately improving data extraction processes and preserving document structure.

• Import/Export Markup: labeling-tool allows users to seamlessly import and export markup data.
• Feature-rich interface: A comprehensive panel with document controls such as zoom, undo, and pointer tool for selecting and moving markup.
• Markup Creation: Easily create data markups within the document.
• Merge/Split Table Cells: Allows managing table cells manually as needed during the labeling process.
• Data Extraction: labeling-tool interface allows to extract data from the labeling tool (when the appropriate API handler is passed) improving efficiency and saving time.
• Editable Extracted Content: Users have the ability to create, modify, and delete extracted content for each label, providing greater flexibility over the labeling process.
• Delete Markup: Allows users to delete unnecessary or incorrect markup to maintain organized and accurate data labeling.
• Labels Assignment: Assign selected labels to existing fields, simplifying data organization and extraction.
• Markup Object Panel: Easily view and manage markup objects in a dedicated panel, with JSON preview available.
• Hotkeys: Enhance productivity by using hotkeys to quickly access different tools.
• Table Detection: Allows automatic table detection feature within the document (when the appropriate API handler is passed).
• AutoSave: Ensure the security of your work with an autosave functionality that periodically saves markup data automatically.

• Streamlines data labeling, leading to better ML model training and development.
• Preserves document content structure, ensuring the accuracy of extracted data.
• Simplify data labeling and extraction process.
• Enhances workflow efficiency, saving time and effort during the ML lifecycle.

The root LabelingTool component accepts the following prop to configure and customize its behavior:

config (required) The config object contains all necessary settings and configurations.

Check the working example of the config here. This config could be used for playing with LabelingTool package.

Min NodeJS version is 14.16.0

To get started, follow these steps:

1. Install the package:

# If you use npm:
npm install labeling-tool

# Or if you use Yarn:
yarn add labeling-tool

2. Then import the LabelingTool package and use as in the example:

import { LabelingTool } from 'labeling-tool'

function App() {
  return (
    <div className="App">
      <LabelingTool config={yourConfigHere} />
    </div>
  )
}

export default App

3. Update yourConfigHere with your desired configurations.

There is a demo hosted on Demo Labeling Tool which allows to check labeling-tool package.

labeling-tool is licensed under the MIT License.