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Training & fine-tuning

Label Studio

A tool for tagging images, text, audio and video so the data can be used to train AI models.

What it does

AI models learn from examples that people have labelled, such as photos with boxes drawn around cars or sentences marked as positive or negative. Label Studio is a web-based tool for doing this labelling.

It handles many kinds of data, including images, text, audio, video and time-series data, and comes with templates for common tasks. Finished labels can be exported in formats that AI training tools understand.

It can also connect to existing AI models so they suggest labels for a person to check, and it plugs into other data tools. It runs on your own computer or server, and the makers offer a paid cloud edition.

Who it's for

Data scientists, researchers and teams preparing data to train or improve AI models.

Can I use it without coding?

With some setup. Install with one pip or Docker command, then use it in your web browser. New to this? Start here.

Can I run it?

Cost
Free, with optional paid extrasThe open-source version is free; the makers also sell a hosted or pro version.
Runs on
Windows, Server, Cloud
Computer
An ordinary computer is fine
Privacy
Your choice: run it on your device or use an online service
API key
Not needed

Try it

  1. Install Label Studio with Docker or Python's package installer, or try the paid Starter Cloud edition.
  2. Start it and open it in your web browser.
  3. Create a project, import your data, and start labelling.

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

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