README.md

---
title: README
emoji: 🏢
colorFrom: gray
colorTo: purple
sdk: static
pinned: true
---

<img src="https://user-images.githubusercontent.com/12534576/192582340-4c9e4401-1fe6-4dbb-95bb-fdbba5493f61.png"/>

[Website](https://labelstud.io/) • [Docs](https://labelstud.io/guide/) • [Twitter](https://twitter.com/labelstudiohq) • [Join Slack Community](https://slack.labelstudio.heartex.com/?source=github-1)


## What is Label Studio?

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Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models.

- [Try out Label Studio](#try-out-label-studio)
- [What you get from Label Studio](#what-you-get-from-label-studio)
- [Included templates for labeling data in Label Studio](#included-templates-for-labeling-data-in-label-studio)
- [Set up machine learning models with Label Studio](#set-up-machine-learning-models-with-Label-Studio)
- [Integrate Label Studio with your existing tools](#integrate-label-studio-with-your-existing-tools)

![Gif of Label Studio annotating different types of data](https://raw.githubusercontent.com/heartexlabs/label-studio/master/images/annotation_examples.gif)

Have a custom dataset? You can customize Label Studio to fit your needs. Read an [introductory blog post](https://towardsdatascience.com/introducing-label-studio-a-swiss-army-knife-of-data-labeling-140c1be92881) to learn more. 

## Try out Label Studio

Install Label Studio locally, or deploy it in a cloud instance. [Or, sign up for a free trial here.](https://hubs.ly/Q01CMLll0).