Label any data.
Evaluate any AI.
The open source platform for data labeling, AI evaluation, and human-in-the-loop workflows.
Last Commit:
Latest version:
# Install the package
# into python virtual environmentpip install -U label-studio# Launch it!label-studio
# Install the caskbrew install humansignal/tap/label-studio# Launch it!label-studio
# clone repogit clone https://github.com/HumanSignal/label-studio.git# install dependenciescd label-studio
pip install poetry
poetry install# apply db migrationspoetry run python label_studio/manage.py migrate# collect static filespoetry run python label_studio/manage.py collectstatic# launchpoetry run python label_studio/manage.py runserver
# Run latest Docker versiondocker run -it -p 8080:8080 -v `pwd`/mydata:/label-studio/data heartexlabs/label-studio:latest# Now visit http://localhost:8080/
Supports All Data Modalities
From training data to production AI evaluation
LLM & Agent Evaluation
Agentic Traces
Connect observability tools to enable human-in-the-loop review
RLHF & Fine-Tuning
Collect human preferences, corrections, rankings
LLM Evaluations
Create custom benchmarks and rubrics, side-by-side comparison
RAG & Retrieval QA
Evaluate retrieval relevance, grade generated answers against source
Computer Vision
Image Classification
Put images into categories
Object Detection
Detect objects on image, boxes, polygons, circular, and keypoints supported
Object Tracking
Label and track multiple objects frame-by-frame
Semantic Segmentation
Partition image into multiple segments. Use ML models to pre-label and optimize the process
NLP, Documents, Chatbots
PDF & Image OCR
Annotate complex, large-scale documents with ease
Named Entity Recognition
Extract and put relevant bits of information into pre-defined categories
Question Answering
Answer questions based on context
Sentiment Analysis
Determine whether a document is positive, negative or neutral
Audio & Speech
Audio Transcription
Advanced interface for speed and precision at scale
Waveform or Spectrogram
Supports advanced audio files and use cases
Speaker Diarization
Partition an input audio stream into homogeneous segments according to the speaker identity
Emotion Recognition
Tag and identify emotion from the audio
Robots, Sensors, IoT Devices
Classification
Put time series into categories
Segmentation
Identify regions relevant to the activity type you're building your ML algorithm for
Event Recognition
Label single events on plots of time series data
Multi-Modal
Dialogue Processing
Call center recording can be simultaneously transcribed and processed as text
Optical Character Recognition
Put an image and text right next to each other
Time Series with Reference
Use video or audio streams to easier segment time series data
The most flexible labeling platform
Fits your stack, not the other way around
Programmable Interfaces
Custom layouts and templates adapt to your data, tasks, and evaluation criteria.
Native to your ML / AI Pipeline
API, SDK, and webhooks let you create projects, stream predictions, and trigger training, active learning, and evaluation workflows in real time.
Connect Any Data or Models
Sync data from any storage and connect any model to power AI-assisted labeling, benchmarking, and continuous model evaluation.
Trusted by Leading AI Builders
1M+ AI Practitioners
Join the vibrant, global community using Label Studio to build the best AI
Millions of data items labeled
20,000+ Slack members
GitHub stars
Thanks to our Core Contributors
From the Blog
View All Articles-
The Sweet Science of Subjective Evaluation
What chocolate tasting taught us about human annotation, data quality, and evaluating AI at scale.
Micaela Kaplan
April 16, 2026
-
The 5 Metrics That Actually Move AI Into Production
A practical framework for turning AI metrics into clearer decisions about what to fix, ship, and scale.
Sheree Zhang
April 15, 2026
-
Label Studio 1.23: Vector Annotation, Interactive Task Source, and Data Manager Improvements
Vector annotation, an interactive task source viewer, and workflow improvements across the Data Manager and Template Builder.
Label Studio Team
March 13, 2026