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Label Studio

Open-source multi-modal data labeling platform for machine learning and AI model training.

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Intro

What is Label Studio?

Label Studio is an open-source data labeling platform designed for preparing training data across various modalities, including computer vision, natural language processing, audio, and video models. Users seeking multi-modal dataset annotation tools can set up customized labeling environments using the highly configurable label studio interface. Whether you need standard image labelleing, semantic segmentation, or complex text classification, the platform accommodates diverse datasets. Developers can leverage the robust label studio api and review the extensive label studio docs to seamlessly integrate label studio code with their existing machine learning pipelines.

Label Studio at a glance
Free, Starter Cloud from $99/mo261K monthly visitsHas free access

Category

AI Developer ToolsLarge Language Models (LLMs)
Best For

Best Label Studio use cases by task, role, industry, and platform

These use cases show where Label Studio fits best, ranked by fit score before popularity or pricing.

Data AnnotationLabel, tag, and categorize text, images, and audio datasets to train machine learning models efficiently.100Data LabelingAnnotate text, images, and audio files to create high-quality training datasets for machine learning models.100AI Training DataCollect, clean, label, and format diverse datasets to train machine learning models for specific business use cases.95Image AnnotationLabel, tag, and segment visual data like bounding boxes or polygons to prepare high-quality datasets for machine learning models.95Model Fine-TuningAdapt existing pre-trained models with custom datasets to achieve higher accuracy and domain-specific performance.90LLM EvaluationAssess model outputs, benchmark performance metrics, test prompts, and validate responses to ensure accuracy across specific use cases.90Model TrainingPrepare datasets, configure parameters, and run training pipelines to build custom machine learning models for specific business needs.90OCRTeams handling ocr prepare cleaned tables, summaries from datasets, tables in research, reporting.85
Pricing

Label Studio Pricing Plans

Compare Label Studio free options, Label Studio paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Starter Cloud from $99/mo

Free

Open Source. Self-hosted on your own infrastructure with community support.

$99 per month

Fully managed cloud service for small teams up to 8 users. Additional users are $49/month.

Custom Pricing

Contact sales for pricing. Includes SSO, priority support SLAs, SOC2 & HIPAA compliance, and advanced quality workflows.

Pricing updated:Jun 11, 2026

Features

Label Studio AI Features

Multi-modal support for text, image, audio, video, and time-series dataConfigurable layouts and templates that adapt to specific workflowsML-assisted labeling with integrated machine learning backend supportCloud storage integration with AWS S3, Google Cloud Storage, and AzureCollaborative project management and role-based access control (RBAC)
Pros & Cons

Label Studio Pros and Cons

Pros

  • Highly flexible and customizable labeling configurations.
  • Supports a wide array of data formats, including Generative AI evaluations.
  • Large, active community with robust documentation and self-hosting options.

Limitations

  • Advanced features like single sign-on (SSO) and workspace isolation are restricted to the Enterprise plan.
  • Requires technical setup for database migrations and local hosting configurations.

Label Studio FAQ

You can use the label studio api and Python SDK to authenticate, create projects, import tasks, manage model predictions, and fetch tasks. For detailed endpoints, please consult the official label studio docs.

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