Open-source data labeling tool for NLP, CV, audio, and multi-modal projects. Configurable annotation interface with ML-assisted labeling and team features.
| Category | AI DevTools |
| Starting Price | Free/month |
| Website | labelstud.io |
| Ideal For | Data Scientists, Machine Learning Engineers, Project Managers |
| Visibility Score | 48/100 |
| Last Verified | Mar 18, 2026 by EurekaNav Team |
Label Studio is an open-source tool that facilitates data labeling for various applications, including natural language processing, computer vision, and audio projects.
Label Studio is an open-source data labeling tool designed for developers and data scientists working on NLP, computer vision, audio, and multi-modal projects. Its key differentiator is its configurable annotation interface that supports machine learning-assisted labeling and collaboration features for teams.
Yes, Label Studio offers a free tier with basic features.
Label Studio is best for labeling data in NLP, computer vision, audio, and multi-modal projects.
Label Studio is open-source and highly configurable, while Prodigy is a paid tool with a focus on rapid annotation and specific use cases.
Data sourced from:
Schema version 1.0 · Source: eurekanav.com
Access to basic features for data labeling and annotation.
Advanced features including ML-assisted labeling and team collaboration tools.
Last verified Mar 18, 2026
Weak
Score Breakdown
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