Label Studio

What is Label Studio?

Label Studio is a data labeling and annotation platform from HumanSignal that handles text, images, audio, video, time series and multimodal data in one interface. The free Community Edition is open source and includes a data manager, project templates, a tag library for customizing labeling interfaces, import and export in formats such as JSON, COCO and Pascal VOC, an API and SDK, and connections to custom ML backends for predictions and pre-annotated data. Two paid editions add more: Starter Cloud brings role-based access control, task assignment, reviewers and comments, while Enterprise adds workspaces, SSO and SAML, SCIM provisioning, audit logs, dashboards, agreement metrics, plugins and air-gapped on-premise deployment. The prompts features for LLM pre-labeling, evaluation and benchmarks are in Enterprise, with a limited trial in Starter Cloud. The vendor does not publish a price for the paid editions; check the official pricing page.

Use cases

• Label images and video for computer vision
• Annotate text and documents for NLP
• Transcribe and tag audio recordings
• Review LLM output against ground truth
• Pre-label data with a connected ML model
• Manage annotator and reviewer workflows

Who it's for

• ML engineers
• Data scientists
• Annotation teams
• AI researchers

Why use Label Studio

• The free open source edition covers many data types, so a small team can start labeling without a license.
• One tool handles images, text, audio and video, which avoids separate annotation setups.
• Customizable tags and templates let you shape the interface to your task.
• Paid tiers add review, quality and security controls once a project grows.
• Predictions from a connected model can speed up pre-labeling.

Label Studio features

• Labeling for text, images, audio, video, time series and multimodal data
• Tag library and templates for custom labeling interfaces
• Import from databases, cloud storage buckets or local storage
• Export to JSON, COCO, Pascal VOC and other formats
• Custom ML backends with predictions and pre-annotated data
• API, SDK and webhooks
• Role-based access, reviewers and task assignment on paid editions
• Agreement metrics and annotator consensus matrices on Enterprise
• SSO, SAML 2.0, SCIM 2.0 and LDAP on Enterprise
• Air-gapped on-premise deployment on Enterprise

Label Studio integrations

• AWS S3
• Google Cloud Storage
• Azure Blob Storage
• Databricks Unity Catalog
• Okta
• Microsoft Active Directory
• Ping Identity
• Redis

How to get started with Label Studio

1. Install Label Studio yourself, or choose a paid cloud edition.
2. Create a project, import data from storage or upload files, and set up a labeling template.
3. Annotate in the browser, optionally connecting an ML backend for pre-labels or predictions.
4. Export the finished annotations in a standard format, or call the API and SDK to automate the loop.

Label Studio limitations

• Community Edition has no role-based access control or task assignment
• Workspaces, plugins, dashboards and quality workflows are Enterprise-only
• The vendor does not publish prices for the paid editions
• The open source edition is self-hosted, so you run the install

Label Studio pricing

Label Studio is open source, so you can use and self-host it for free.

Label Studio plans

• Community

  Free

  open source, self-hosted

  • All data types
  • Templates and tag library
  • API, SDK and webhooks
  • Custom ML backends

• Starter Cloud

  Price on vendor site

  • Role-based access control
  • Task assignment and reviewers
  • Comments and notifications
  • AI assistant for templates

• Enterprise

  Price on vendor site

  • Workspaces and custom permissions
  • SSO, SAML and SCIM
  • Dashboards and audit logs
  • Plugins and on-prem deployment

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Label Studio alternatives

The main Label Studio alternatives listed on Debuly are CVAT, Encord, Roboflow, Argilla, Crowdworks AI and Meta Model API. The table compares pricing and platforms; order is A–Z.

1. 

   Argilla

   Open-source data curation platform where AI engineers and domain experts collect human and AI feedback to improve LLM datasets.

   Developer platformsAutomation and agents
   Open sourceVisit Argilla (official site)
2. 

   Crowdworks AI

   AI data labeling platform and managed labeling service, plus enterprise tools for building and evaluating AI agents.

   Developer platformsAutomation and agents
   Contact salesVisit Crowdworks AI (official site)
3. 

   CVAT

   Open-source annotation platform for labeling images, video, audio and 3D data, available hosted or self-hosted.

   Developer platformsAutomation and agents
   FreemiumVisit CVAT (official site)
4. 

   Encord

   Multimodal data platform for AI teams to curate, annotate and evaluate image, video, DICOM, audio, document and text data.

   Developer platformsAutomation and agentsResearch and search
   Contact salesVisit Encord (official site)
5. 

   Meta Model API

   Pay-as-you-go API for Meta's Muse models covering text, image generation, speech transcription and segmentation, OpenAI SDK compatible.

   Developer platformsCodingAutomation and agents
   PaidVisit Meta Model API (official site)
6. 

   Roboflow

   Computer vision platform for labeling images, training detection models and deploying vision AI on the cloud, edge devices and live video.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Roboflow (official site)

Label Studio FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from labelstud.io · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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