Universal Data Tool

Try it out at universaldatatool.com or download it here.

The Universal Data Tool is a web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in the extensible the .udt.json and .udt.csv standard. For video tutorials visit our Youtube channel.

Features

• Usable on web or as Windows,Mac or Linux desktop application
• Collaborate with others in real time
• Configure your project with an easy-to-use GUI
• Download/upload as easy-to-use CSV (sample.udt.csv) or JSON (sample.udt.json)
• Support for Images, Videos, PDFs, Text, Audio Transcription and many other formats
• Can be easily integrated into a React application
• Annotate images or videos with classifications, tags, bounding boxes, polygons and points
• Import data from Google Drive, Youtube, CSV, Clipboard and more
• Annotate NLP datasets with Named Entity Recognition (NER), classification and Part of Speech (PoS) tagging.
• Easily load into pandas or use with fast.ai

Sponsors

Installation

Web App

Just visit universaldatatool.com!

Trying to run the web app locally? Run npm install then npm run start after cloning this repository to start the web server

Desktop Application

Download the latest release from the releases page and run the executable you downloaded.

Principles

• Correctness of implementation of the .udt.json standard.
• Implement entirety of the .udt.json and .udt.csv standards
• Rely on external libraries which specialize in each type of annotation to enable the best tools to be used
• Easy to use
• Easy to integrate

Contributing

• (Optional) Say hi in the Slack channel!
• Read this guide to get started with development.

Libraries

The Universal Data Tool is always looking for the best libraries to provide the user interface for different types of annotation. Currently, the following libraries are used...

• material-survey for data entry.
• react-image-annotate for image annotation.
• react-nlp-annotate for entity recognition and NLP tasks.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Severin Ibarluzea 💻 📖 👀	Puskuruk 💻 👀	CedricJean 💻	beru 💻	Marc 💻 📖	Wafaa-arbash 📖	Pierre Grimaud 📖
sreevardhanreddi 💻	Mohammed Eldadah 💻	x213212 💻

This project follows the all-contributors specification. Contributions of any kind welcome!