# Label Studio

> Open-source tool for annotating data and assessing AI model capabilities

- **Canonical URI:** https://www.vioscale.ai/software/label-studio
- **Category:** Data Labeling
- **Homepage:** https://labelstud.io
- **Also known as:** label-studio
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-18T21:47:51.026Z

## Vioscale score

**43.6 / 100**, confidence 25% (low). Computed 2026-09-01.

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 80 | 0.052 | 4.2 | ✓ |
| reliability | 0 | 0.073 | 0 | - |
| capabilities | 0 | 0.04877777777777778 | 0 | - |
| integrations | 35.4 | 0.04066666666666666 | 1.4 | ✓ |
| security_posture | 0 | 0.073 | 0 | - |
| pricing_transparency | 25 | 0.084 | 2.1 | ✓ |

## Pricing

_As of 2026-08-18, [verify at source](https://labelstud.io). Independently observed._

Hybrid · Free tier

## About

A flexible system for labeling different data types and evaluating AI performance through human-in-the-loop workflows. Integrates with cloud storage, ML frameworks, and infrastructure via APIs and SDKs.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI, Web
- **Deployment:** Cloud / SaaS, On-premise, Self-hosted

## Integrations (16)

_Independently observed._

- Azure Blob Storage
- Google Cloud Storage
- AWS S3
- Redis
- OpenAI
- Google Vertex AI
- Docling
- Tesseract
- Unstructured.io
- Nvidia NeMo
- Chainlit
- LangChain
- Kubernetes
- Terraform
- Grounding DINO
- Braintrust

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 16 | [link](https://labelstud.io) | 2026-08-18 | 60% (medium) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | yes | [link](https://labelstud.io) | 2026-08-18 | 60% (medium) |
| pricing.model | freemium | [link](https://labelstud.io) | 2026-08-18 | 60% (medium) |
| pricing.price_level | low | [link](https://labelstud.io) | 2026-08-18 | 60% (medium) |

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*Source: Vioscale (https://www.vioscale.ai/software/label-studio). Independent, evidence-based software intelligence. Cite the canonical URI.*