The best SuperAnnotate 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 SuperAnnotate

Evaluating SuperAnnotate for data annotation? Alternatives like Encord give your team more advanced annotation features, with curation and evaluation tools embedded in your data pipeline – all with enterprise-grade compliance.

Encord finds the right data, faster

The Encord platform is fully multimodal and gives your teams more tools for data curation, management and visualization - helping you sort through petabytes of data with agents, natural language search, and embeddings.

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SuperAnnotate lacks granularity

Unlike SuperAnnotate, Encord supports native video rendering with object tracking, LiDAR and 3D point cloud annotation, complex ontology and classification structures, and advanced workflow orchestration.

Which is better: SuperAnnotate or Encord?

Which is better: SuperAnnotate or Encord?
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Native support

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

Handles most images, video, audio, text and documents, but very limited sensor fusion

Custom ontologies

Flexible, granular and highly-configurable ontologies that can scale mid-project

Ontologies are prefixed/predefined

LiDAR and 3D

Multimodal annotation interface natively supports LiDAR and 3D point clouds

No synchronized sensor fusion or multi-frame tracking

Data management

Unify, sort and search petabytes of multimodal data with dataset versioning

Only project-specific indexing - lacks end-to-end curation across your datasets

Enterprise support

Comprehensive, white-glove experience for enterprise customers

Offers some support for annotation services

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 SuperAnnotate?

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

Robotics & AV

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Frontier & Generative AI

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Get the data right

The leading frontier AI teams use Encord. Join them.