Label Studio
Open source platform for data labeling and AI evaluation.
Pricing
About Label Studio
Label Studio is an open source platform designed for multi-modal data labeling and AI evaluation across diverse workflows. It supports data annotation for computer vision, natural language processing, audio, document processing, time series, and multi-modal tasks. The platform is used by over 1 million AI practitioners globally for training data creation, RLHF tasks, and human-in-the-loop AI evaluation. Label Studio distinguishes itself through its flexibility and integration capabilities, offering programmable interfaces with custom templates, API access, Python SDK support, and native ML pipeline integration. Users can connect any data source and model while triggering workflows in real time. A limitation is that the full capabilities, particularly advanced features and support, are concentrated in the Enterprise version, while the community edition has more restricted functionality.
At a glance
- Company
- HumanSignal (est. 2021)
- Platforms
- Web, Docker, API, Python SDK
- API
- Available
- Last verified
- June 2026
Who It's For
- •Machine learning engineers and data scientists
- •AI teams building and evaluating large language models
- •Computer vision and document AI projects
- •Organizations requiring human-in-the-loop AI systems
- •Teams needing collaborative data annotation at scale
How It Works
- 1Installs via package managers (pip, brew) or deployment options (docker, git)
- 2Provides web-based interface for labeling tasks with customizable templates and layouts
- 3Supports streaming predictions and connecting external ML models for AI-assisted labeling
- 4Integrates with storage systems and observability tools for data synchronization
- 5Executes labeling workflows triggered through API calls or webhooks in real time
How to Use Label Studio
- 1Install Label Studio using pip, brew, git, or docker
- 2Launch the application with the label-studio command
- 3Create labeling projects and customize templates for your data type
- 4Upload or connect data from storage systems
- 5Configure AI-assisted labeling by connecting models
- 6Use API, Python SDK, or webhooks to automate workflows
- 7Export labeled data in standardized formats
Key Features
- •Multi-modal data support (images, text, audio, video, time series)
- •Programmable interfaces and customizable templates
- •API, Python SDK, and webhook integrations
- •AI-assisted labeling with model integration
- •Active learning and continuous model evaluation
- •Human-in-the-loop workflows with observability tool connection
- •Agentic traces support for LLM monitoring
- •Standardized output format for labeled data
Use Cases
- •Training data creation for machine learning models
- •Reinforcement Learning from Human Feedback (RLHF) and fine-tuning
- •LLM and agentic trace evaluation with custom benchmarks and rubrics
- •Computer vision annotation and document AI labeling
- •Retrieval augmented generation (RAG) and QA evaluation
Pros & Cons
Advantages
- •Open source with community edition available, reducing costs for smaller projects
- •Extremely flexible with support for all major data modalities and customizable interfaces
- •Strong programmatic access through API, Python SDK, and webhooks for workflow automation
- •Large active community with 27,682 GitHub stars and 1M+ practitioners using the platform
Disadvantages
- •Enterprise features and advanced support are concentrated in paid versions
- •Community edition has restricted functionality compared to enterprise offering
- •Setup and customization require technical expertise for optimal results
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Frequently Asked Questions
What is Label Studio?
Label Studio is an open source platform designed for multi-modal data labeling and AI evaluation across diverse workflows. It supports data annotation for computer vision, natural language processing, audio, document processing, time series, and multi-modal tasks.
How much does Label Studio cost?
Label Studio is free to use.
Is Label Studio free?
Yes, Label Studio offers a free plan you can start with.
What are the best Label Studio alternatives?
Popular Label Studio alternatives include Datature, Gradio, CVAT (Computer Vision Annotation Tool).
What is Label Studio used for?
Label Studio is commonly used for Training data creation for machine learning models, Reinforcement Learning from Human Feedback (RLHF) and fine-tuning, LLM and agentic trace evaluation with custom benchmarks and rubrics.
Does Label Studio have an API?
Yes, Label Studio offers an API for developers.
What platforms does Label Studio support?
Label Studio is available on Web, Docker, API, Python SDK.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.