Label Studio

An open-source data labeling and annotation tool that supports text, images, audio, video, and time series. Built for machine learning teams who need high-quality training data.

What You Can Do After Deployment

1. Create an account — sign up with email and password on first visit to set up your workspace
2. Start a labeling project — create a project, import data, and choose from 50+ built-in labeling templates
3. Customize labeling interfaces — design your own annotation UI with a flexible XML-based configuration
4. Invite team members — add annotators and reviewers to collaborate on labeling tasks
5. Export annotations — download labeled data in JSON, CSV, COCO, VOC, and other ML-ready formats

Key Features

• Multi-type data support: text, images, audio, video, HTML, time series
• 50+ built-in labeling templates for NER, classification, object detection, and more
• Customizable annotation interfaces with XML configuration
• Team collaboration with role-based access control
• Machine learning backend integration for pre-labeling and active learning
• Data import from cloud storage (S3, GCS, Azure Blob)
• Flexible export formats compatible with popular ML frameworks
• REST API for programmatic access and automation

License

Apache-2.0 — GitHub