Labelbox

AI data engine for collaborative training data pipelines with model-assisted labeling.

Best for: Good free tier Not ideal for: Enterprise pricing not transparent
Price Paid
Free plan Yes
For Researchers
Level Beginner
Updated Mar 2026
Category AI Research
01

Why choose Labelbox

AI data engine platform for building and managing training data pipelines. Offers collaborative labeling tools, model-assisted annotation, and data curation features. Supports images, video, text, geospatial, and conversational data types.

  • +Good free tier
  • +Model-assisted labeling
  • +Modern interface
  • +Strong API
02

Where it falls short

  • Enterprise pricing not transparent
  • Can be slow with large datasets
  • Learning curve for advanced features
03

Best for these users

👤
Target audience
Researchers, academics, knowledge workers
📌
Best for
Good free tier
Skip if you need
Enterprise pricing not transparent
04

Pricing overview

Freemium Free plan: Yes

Free tier for individuals. Enterprise plans for teams with custom pricing.

Check current pricing →
05

Key features

Collaborative labeling
Model-assisted annotation
Data curation
Multi-data-type support
Catalog and search
API and SDK
07

Alternatives to Labelbox

Roboflow

End-to-end computer vision platform for building, training, and deploying vision models.

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Scale AI

Enterprise data platform providing high-quality AI training data with human-AI labeling.

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Encord

AI data platform for CV teams with automated labeling, quality metrics, and active learning.

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Label Studio

Open-source multi-format data labeling platform for ML with configurable interfaces.

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Prodigy

Scriptable annotation tool with active learning for efficient ML training data creation.

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08

Related comparisons

09

The verdict

Labelbox Freemium

Labelbox is a solid choice for researchers who need good free tier. At freemium, it delivers good value. Main caveat: enterprise pricing not transparent. Compare with alternatives before committing.