Self-host Label Studio with Docker

A flexible data labeling tool for text, images, audio, and video, with export to common ML formats. This page describes the Levelrail template for Label Studio (AI). It deploys the services below as one Docker Compose app on your own server. Project site: https://labelstud.io/guide. Recommended memory: about 1024 MiB.

Services, ports and volumes

Service	Image	Container ports	Volumes
`label-studio`	`heartexlabs/label-studio:1.21.0`	8080	`label_studio_data -> /label-studio/data`

Environment variables

Service	Variable	Value
`label-studio`	`LABEL_STUDIO_DISABLE_SIGNUP_WITHOUT_LINK`	Preset in the template
`label-studio`	`LABEL_STUDIO_PASSWORD`	Generated at deploy
`label-studio`	`LABEL_STUDIO_USERNAME`	Preset in the template

Passwords and keys marked as generated are created for you when the app is deployed and stored as secrets. Values are not shown here.

Deploy Label Studio with Levelrail

In the dashboard, open Apps, choose New app, then Browse templates, and select Label Studio. Review the Compose body and deploy. With the CLI:

levelrail-cli templates deploy label-studio --name my-label-studio

See the service template catalog for how templates work, and Getting started if you have not installed Levelrail yet.

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Self-host Label Studio with Docker

Services, ports and volumes

Environment variables

Deploy Label Studio with Levelrail

More AI templates

​Services, ports and volumes

​Environment variables

​Deploy Label Studio with Levelrail

​More AI templates

Services, ports and volumes

Environment variables

Deploy Label Studio with Levelrail

More AI templates