Role-Based Access Control

Assign roles (Owner, Admin, Manager, Reviewer, Annotator) and granular permissions.

Single Sign-On

Integrate your SAML or LDAP auth system or SCIM to centrally manage access to Label Studio.

Activity Logs

System of record that tracks every action taken in Label Studio and the associated user.

Advanced cloud storage integrations

Databricks Unity Catalog, IAM for AWS S3, Azure Blob Storage with Service Principal, and WIF for Google Cloud Storage connections.

SOC2 & HIPAA Reporting

Access to SOC 2 and HIPAA reporting for ongoing compliance.

Deployment Method

Secure cloud platform architected for complete data privacy.

99.9% Uptime SLA

Get best-in-class uptime backed by service level agreement.

Customer Success Manager

Dedicated customer success manager to support onboarding, education, and escalations. Early access and ability to provide feedback on the product roadmap.

Technical Support

Dedicated team of experts ready to help you get the most out of Label Studio.

AWS Marketplace

Apply your committed AWS spend to Label Studio Enterprise.

Projects

Organizes the settings, users, and dataset for a specific project.

Programmable Interfaces

Vibe code any labeling and evaluation interface using our agent or yours.

Embeddable Interfaces

Embed labeling interfaces into applications where evaluators work natively.

Templates

Prebuilt user interfaces configured and optimized for specific data labeling scenarios.

Data Management Panel

Explore, refine, and perform bulk actions on project data.

API/SDK & Webhooks

Programatic access to Label Studio functionality that can be embedded into other systems.

Comments & Notifications

Collaborate and leave questions on labeling tasks before submitting.

Automatic Annotator Assignment

Automatically assign tasks based on project configuration rules.

Annotation-Only Portal

Simplified dashboard that organizes labeling tasks for an individual annotator.

Bulk Labeling for Classification

Quickly apply classifications to multiple tasks after filtering or visual inspection.

Plugins

Fully customize your labeling interface and workflows by adding custom JavaScript-based Plugins to your project.

Project-Level Dashboards

Get real-time visibility into project throughput, data quality, and annotator performance.

Analytics

Get high-level visibility across projects via dashboards or API.

Shared Workspaces

Organizes related projects by team, department, or product. Users can only access workspaces they associated with.

Verification & QA

Review and verify other users' annotation and prediction results.

Assign Reviewer

Assign individual users to review and verify specific annotations.

Overlap Configuration

Set how many annotators must label each sample.

Agreement

Understand where annotators and LLMs converge on the same answer and how they compare against ground truth.

Question-level Agreement Metrics

Define agreement scores and thresholds at the question-level within a task.

Annotator Performance Dashboards

Metrics and statistics to review and monitor individual annotator performance.

Automatic Task Reassignment

Reassign tasks with low agreement scores to new annotators.

Label Distribution Charts

Identify possible problems with your dataset distribution, such as an unbalanced dataset.

ML Backend Integration

Connect GenAI and ML models to Projects for pre-labeling, interactive labeling, and model evaluation.

Run Benchmarks

Easily score outputs from different LLMs and prompts against ground truth or rubric criteria.

Pre-Labeling with LLMs

Swiftly generate pre-labels to boost annotation workflows.

Bootstrap Datasets

Instruct LLMs to help generate realistic sample data.

Automated Active Learning Loops

Minimize the total amount of data required for labeling by strategically sampling observations.

Run LLM-as-a-Judge

Choose from various LLMs and configure prompts to evaluate model outputs on your custom criteria and scoring methods.

Integrated Human Supervision

Deep dive into automated evaluation results with fully integrated workflows for human supervision.

Cloud Storage Integration

Connect cloud storage from AWS, GCP, and Azure for read/write access.

Import / Export

Import datasets for labeling. Export labeled datasets for inclusion in your model training.

Chat

Generate and label conversation data. Interact live with an LLM of your choice.

Text

Image

Audio

Video

HTML Hypertext

Time Series

Multi-modal

Agentic Traces

3D Image

LiDAR