The best Labelbox alternative is Encord

Looking to transform unstructured datasets into high-quality, labeled data? Encord is the top-rated Labelbox competitor for 300+ AI teams.

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Why 300+ AI teams chose Encord vs Labelbox

Evaluating Labelbox for data annotation? Alternatives like Encord help your team scale annotation workflows, with more native modalities, better support, and flexible ontologies across projects – all with enterprise-grade compliance.

Encord gives you scalability

The Encord platform is strongest for managing petabytes of multimodal data at scale. In comparison, Labelbox can struggle to load large datasets, while mid-project changes to ontologies can invalidate existing labels.

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Labelbox focuses on services

Unlike Labelbox, Encord is continually expanding their multimodal data layer alongside offering services for data collection and annotation. Labelbox’s core business is their services offering, not platform expansion.

Which is better: Labelbox or Encord?

Which is better: Labelbox or Encord?
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Platform vs Services

End-to-end multimodal data layer updates, with additional white-glove services

Core business is data services - no longer expanding their platform

Multimodal depth

Native images, video, audio, document, text, time series, LiDAR and DICOM

Handles most images, video, audio, text and documents, but not LiDAR/3D point cloud

Platform speed

Fast, cloud-native tooling easily handles large datasets

Suffers lag with large datasets, affecting processing speed and output visualization

Annotation review

Bulk approve/reject with auto-organized queues to speed up review process

Review cycles take longer without bulk actions or batch-level review

Task allocation

Auto-routes tasks by role, skill, or round-robin queue to reduce manual work

Manual work required without role-based or round-robin routing

Higher-quality data for model training

Train models on better data, and reduce time spent on manual data annotation.

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Product tour

Try our interactive platform experience to see what data workflows look like in Encord.

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MIGRATION GUIDE

Switching from Labelbox?

Let your team focus on building better models, while we handle the migration.

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Step 1

Import existing datasets into Encord

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Step 2

Use AI-assisted pre-labeling to accelerate transition

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Step 3

Add structured human QA and review workflows

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Step 4

Activate evaluation and feedback loops for continuous improvement

Designed for reliable AI

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Get the data right

The leading frontier AI teams use Encord. Join them.