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Label Studio

Label Studio is the most flexible open-source data labeling platform from HumanSignal, used to fine-tune LLMs, prepare training data, and validate AI models. The Label Studio REST API exposes projects, tasks, annotations, predictions, storage, webhooks, prompts, and review workflows.

1 APIs 0 Features
AIAnnotationArtificial IntelligenceData LabelingLLMMachine LearningOpen Source

APIs

Label Studio

The Label Studio REST API supports the full data labeling lifecycle: managing projects, tasks, annotations, annotation reviews, comments, predictions, ML backends, prompts, stor...

Resources

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LinkedIn
LinkedIn
🔗
Website
Website
🔗
Documentation
Documentation
💻
SourceCode
SourceCode
📰
Blog
Blog
📜
PrivacyPolicy
PrivacyPolicy
📜
TermsOfService
TermsOfService
🔗
Community
Community
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LLMsTxt
LLMsTxt

Sources

Raw ↑
aid: label-studio
url: https://raw.githubusercontent.com/api-evangelist/label-studio/refs/heads/main/apis.yml
name: Label Studio
type: Index
tags:
  - AI
  - Annotation
  - Artificial Intelligence
  - Data Labeling
  - LLM
  - Machine Learning
  - Open Source
created: '2025-02-08'
modified: '2026-05-19'
position: Consumer
access: 3rd-Party
specificationVersion: '0.19'
description: >-
  Label Studio is the most flexible open-source data labeling platform from HumanSignal, used to fine-tune LLMs, prepare
  training data, and validate AI models. The Label Studio REST API exposes projects, tasks, annotations, predictions,
  storage, webhooks, prompts, and review workflows.
apis:
  - aid: label-studio:label-studio
    name: Label Studio
    tags:
      - AI
      - Annotation
      - Data Labeling
      - LLM
      - Machine Learning
      - Open Source
      - REST
    image: https://raw.githubusercontent.com/api-evangelist/label-studio/refs/heads/main/image.png
    humanURL: https://labelstud.io/
    baseURL: https://app.humansignal.com/api
    description: >-
      The Label Studio REST API supports the full data labeling lifecycle: managing projects, tasks, annotations,
      annotation reviews, comments, predictions, ML backends, prompts, storage (S3 / Azure / GCS), webhooks, users,
      organizations, and analytics. The OpenAPI 3.1 specification is published by HumanSignal at
      https://api.labelstud.io/openapi.yaml.
    properties:
      - url: https://labelstud.io/
        type: Documentation
      - url: https://api.labelstud.io/
        type: APIReference
      - url: openapi/label-studio-openapi.yml
        type: OpenAPI
      - url: https://github.com/HumanSignal/label-studio
        type: SourceCode
      - url: https://labelstud.io/community
        type: Community
common:
  - type: LinkedIn
    url: https://www.linkedin.com/company/heartex
  - url: https://labelstud.io/
    type: Website
  - url: https://api.labelstud.io/
    type: Documentation
  - url: https://github.com/HumanSignal/label-studio
    type: SourceCode
  - url: https://labelstud.io/blog
    type: Blog
  - url: https://humansignal.com/privacy/
    type: PrivacyPolicy
  - url: https://humansignal.com/terms/
    type: TermsOfService
  - url: https://labelstud.io/community
    type: Community
  - type: Integrations
    url: https://labelstud.io/integrations/
  - type: LLMsTxt
    url: https://api.labelstud.io/llms.txt
integrations:
  - name: Cloud Storage
  - name: Foundation Model APIs
  - name: Computer Vision
  - name: NLP & Text Processing
  - name: OCR & Document Processing
  - name: Speech & Audio
  - name: AI Evaluation & Observability
  - name: ML Frameworks
  - name: Infrastructure
  - name: Submit an integration
maintainers:
  - FN: Kin Lane
    email: kin@apievangelist.com