# Label Studio

> Open-source data labeling tool for creating AI training datasets.

Label Studio is the leading open-source data labeling platform for creating training datasets for machine learning models, supporting text, images, audio, video, and time series annotation with a flexible labeling interface. It provides pre-built templates for common ML tasks — object detection, NER, sentiment analysis, semantic segmentation — and enables custom labeling workflows for specialized applications. ML teams at research institutions, AI startups, and enterprises use Label Studio to build the high-quality labeled datasets that determine model accuracy, with collaborative features that enable efficient labeling at scale across distributed annotation teams.

## Quick facts

- Categories: Data Analysis, Developer Tools
- Pricing: Freemium (free plan + paid tiers)
- Free plan: Yes
- Official site: https://labelstud.io
- Last checked: 2026-10-22

## Key features

- Open-source data labeling platform
- Supports images, text, audio, video
- ML-assisted labeling
- Team collaboration tools
- Quality control workflows
- Self-hostable

## Use cases

- Creating training datasets for ML models
- Labeling images and text at scale
- Quality control for annotations
- Building AI data pipelines

## Links

- Nextool.ai page: https://nextool.ai/tools/label-studio/
- Alternatives: https://nextool.ai/alternatives/label-studio/

Source: Nextool.ai (https://nextool.ai/tools/label-studio/). Pricing and features change; confirm on the provider's site before relying on them.