Integrations

Large language models can reason and plan but they can’t act. Learn how to integrate Model Context Protocol (MCP) with Label Studio to automate and simplify your annotation workflows.

SmolDocling is designed for end-to-end document conversion, extracting text, tables, and layout with high efficiency. But how well does it perform on real documents? In this post, we walk through testing SmolDocling’s OCR capabilities using Label Studio and a step-by-step notebook to help you evaluate its accuracy.

How to use OpenMMLab with Label Studio's machine learning API to provide semi-automated bounded-box labeling using the mmdetection library.

Check out the new Label Studio Integrations Directory to explore a growing number of integrations and resources, including documentation and links.

This tutorial is designed to get you started with data annotation using Label Studio inside of Hugging Face Spaces.

A complete guide on how to build integrations for Label Studio, including database, storage, machine learning, web front end, and platform integrations.

The Pachyderm integration with Label Studio makes incorporating data versioning into any data team’s labeling process easier.

Read step-by-step instructions to integrate Label Studio and Pachyderm, including code examples.