Open Source
Data Labeling Tool
- — Simplicity built-in, no overcomplicated UIs
- — Supports different datatypes
- — Visually configurable from top to the bottom
Join SlackIntroducing version 0.6.0 - Nested data labeling
Specify multiple classification options for more accurate labeling decisions. Read more in our blog.
10000+ Users
Data Scientists, Machine Learning Engineers, and aspiring developers are using Label Studio to produce innovative machine learning models for real-world applications.
Image Bounding Box
Audio Transcription
Dialogue Analysis
Audio Regions
Named Entity Recognition
Quickstart
# Install the package
pip install label-studio
# Create a new project
label-studio init my_project
# Launch it!
label-studio start my_project
Check out the templates configured for specific data labeling needs.
TemplatesWhy Label Studio?
Configurable
Using HTML-like tags, you can quickly configure the UI for your particular needs. It's not just an image or text. It can be a pairwise comparison, multi-type classification, and beyond. Label Studio is a swiss army knife of data labeling and annotation.
Learn MoreMultiple data types
Label Studio is type agnostic. The overall goal is to be able to process all data types. Right now it
supports Audio, Text, Images, and HTML.
Each interface can
include a mix of the types with different workflows.
Embeddable and Extendable
Label Studio includes a powerful embedding feature that enables you to embed entire UI in your pipeline. You can extend core functionality with new visual constructs and customize it for different use cases.
Read MoreCompatible with major libraries & frameworks
