What is the difference between Labelbox and Prodigy?

Labelbox focuses on Collaborative labeling and is freemium, while Prodigy specializes in Active learning and is paid. Both are AI Research tools.

Is Labelbox or Prodigy better?

It depends on your needs. Labelbox excels at Good free tier, while Prodigy is known for Best-in-class active learning. Compare their features above to decide which fits your workflow.

Labelbox vs Prodigy

AI Research tools comparison · Updated 2026

Choosing between Labelbox and Prodigy? Both are popular AI Research tools. Labelbox starts at Freemium and focuses on Collaborative labeling. Prodigy starts at From $490/mo and specializes in Active learning. Here's a detailed side-by-side comparison to help you decide.

At a Glance

	Labelbox	Prodigy
Category	AI Research	AI Research
Pricing	freemium	paid
Starting Price	Freemium	From $490/mo
Best For	data-labeling, annotation, machine-learning	annotation, machine-learning, NLP
Features	6 listed	6 listed

Labelbox

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

AI Research freemium

Visit Labelbox → Alternatives

Prodigy

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

AI Research paid

Visit Prodigy → Alternatives

Feature Comparison

Labelbox	Prodigy
✓ Collaborative labeling	✓ Active learning
✓ Model-assisted annotation	✓ NLP annotation
✓ Data curation	✓ Computer vision labeling
✓ Multi-data-type support	✓ Custom workflows
✓ Catalog and search	✓ spaCy integration
✓ API and SDK	✓ Scriptable recipes

Pricing Comparison

Labelbox

freemium

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

Prodigy

paid

Starting at $490/mo

Personal license at $490 one-time. Company license at $9,900. Academic discounts available.

Pros & Cons

Labelbox

Pros

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

Cons

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

Prodigy

Pros

+ Best-in-class active learning
+ Deep spaCy integration
+ Highly scriptable
+ One-time license fee

Cons

− Expensive for individuals
− Steep learning curve
− Command-line focused
− Single-user by default

The Verdict

Both Labelbox and Prodigy are strong AI Research tools. Labelbox stands out for Good free tier, making it ideal if that's your priority. Prodigy excels at Best-in-class active learning, which may be more important for your workflow. Price-wise, Labelbox is freemium while Prodigy is paid, so budget may also factor in.