Label Studio
Label Studio is a flexible, open-source data labeling tool that supports various data types including image, audio, text, and video.
Free + paidWebDockerPython/PipOpen sourceMultimodal
Visit websitelabelstud.io
Compare with DatabricksExplore Label Studio alternativesOverview
Label Studio is a flexible, open-source data labeling tool that supports various data types including image, audio, text, and video. It allows users to create custom labeling interfaces and integrate with machine learning models for active learning and automated labeling. It is designed to streamline the data preparation process for AI development with robust collaboration and quality control features.
Key features
- Multi-modal Data Support
- Customizable Labeling UI
- ML Backend Integration
- Active Learning
- Team Collaboration
- Quality Assurance Workflow
- Export to Multiple Formats
Pricing
Free + paidStarting price: Free (open source) / $99/mo (Starter Cloud)
Verified on:
Use cases
- Object detection for computer vision
- Named Entity Recognition (NER) for NLP
- Audio transcription for ASR
- Data cleaning for LLM fine-tuning
Who it is for
Data scientistsML EngineersData AnnotatorsResearchers
Integrations
AWS S3Google Cloud StorageHugging FaceWeights & Biases
Tags
MLOps
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 08/30/2026Verified sources: 1
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