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CVAT vs Encord

CVATEncord

Bottom line: CVAT for computer-vision teams; Encord for computer vision and video AI teams.

CVATCVAT

Leading open-source annotation platform for image, video, and 3D vision

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EncordEncord

Data platform for annotating and curating multimodal data for AI

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Votes00
PricingFreemiumPaid
CategoryData LabelingData Labeling
Tags
annotationcomputer-visionimage-labelingopen-source3d-annotation
data-labelingcomputer-visionmultimodal-datamedical-imagingmlops
Best for
  • Computer-vision teams
  • ML data ops
  • Researchers
  • Computer vision and video AI teams
  • Healthcare and medical-imaging AI
  • Robotics and autonomous-systems teams
Pros
  • Free and open source (MIT) self-hosted
  • Supports 2D and 3D annotation tasks
  • AI-assisted labeling speeds work
  • Built-in QA, collaboration, and analytics
  • Developer APIs and SDK
  • Handles complex modalities (video, DICOM, LiDAR, audio)
  • Strong focus on high-stakes 'physical AI' domains
  • Integrated curation, annotation, and evaluation
  • Model-assisted labeling to speed annotation
  • Credible enterprise customers (Toyota, Skydio, Zipline)
Cons
  • Self-hosting requires setup and maintenance
  • UI can be complex for beginners
  • Focused on vision, not text/audio
  • Advanced cloud features are paid
  • Scaling annotation teams needs configuration
  • Enterprise/sales-led with limited public pricing
  • No permanent free plan
  • No self-hosted deployment option
  • Overkill for simple text/image labeling
  • Requires onboarding for complex workflows

Comparison generated from each tool's listing. Add or remove tools above to change it.