Label Studio
Multi-type data labeling tool with standardized output format.
Open-source multi-type data labeling tool with customizable UI and ML model integration.
Label Studio is an open-source data labeling tool designed for audio, text, images, videos, and time series. It lets you prepare raw data and improve training datasets with a straightforward UI and model integrations, fitting data scientists and ML engineers.
What it is
The platform provides multi-user labeling with account-tied annotations, configurable label formats for custom visual interfaces, and support for cloud storage like AWS S3 and Google Cloud Storage. It integrates with machine learning models via an SDK to enable pre-labeling, active learning, and online learning.
Who it's for
It suits data science and machine learning teams needing to annotate diverse data types and integrate predictions into training pipelines. It does not suit casual users looking for zero-setup hosted applications without server management.
Key features
Multi-Type Data Support
Label images, audio, text, HTML, time-series, and video in a single interface.
ML Model Integration
Connect machine learning models for pre-labeling, active learning, and online learning.
Cloud Storage Import
Import datasets directly from Amazon AWS S3 or Google Cloud Storage.
Configurable UI Templates
Use included templates or define custom visual interfaces with a specialized configuration language.
Up and running in 3 steps
Our honest verdict
What's great
- Supports multiple complex data types including audio, video, and time series
- Integrates directly with machine learning models for pre-labeling and active learning
- Provides multi-user labeling with role-tied accounts
- Includes a REST API to embed seamlessly into existing data pipelines
Where it falls short
- Requires managing a local or cloud server instance along with database storage like PostgreSQL for production stacks
- Initial configuration of machine learning backends requires custom SDK setup
- Running on Windows requires manually downloading and installing specific wheel packages like lxml
Pricing & license
Free under the Apache-2.0 license when self-hosted, with paid Starter Cloud editions available through HumanSignal.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
What data types can I label?
You can label audio, text, images, videos, HTML, and time-series data.
Can I connect my own machine learning model?
Yes, you can connect your model using the Label Studio Machine Learning SDK to handle pre-labeling and active learning.
How do I store production data?
You can use Docker Compose to run Label Studio with a production-ready PostgreSQL database and cloud storage integrations like S3 or MinIO.
