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Training & fine-tuning

doccano

A web tool where people label text together to create training data for AI models.

New this week

What it does

To teach an AI model, you often need examples labeled by people, such as marking whether a review is positive or highlighting names in a sentence. doccano is a web app for doing that labeling.

You create a project, upload text and invite others to help. It supports sorting text into categories, marking words and phrases, and pairing texts (for example for summaries or translations). It works in many languages and on phones too.

It runs on your own computer or server, installed with Python or Docker.

Who it's for

Researchers and teams who need to prepare labeled text data for machine learning.

Can I use it without coding?

With some setup. It needs a few commands or Docker to start, then everything happens in the browser. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Mac, Windows, Linux, Server
Computer
An ordinary computer is fine
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

  1. Install doccano with Python's package installer or start it with Docker.
  2. Open it in your web browser, create a project and upload your text.
  3. Label the examples, alone or with teammates, and export the results.

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 (MIT): Very permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it