The best CVAT alternative is Encord

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

Why 300+ AI teams chose Encord vs CVAT

Evaluating CVAT for data annotation? Alternatives like Encord give your team more advanced annotation tools, with more robust quality controls, automated workflows, and none of the DevOps maintenance overhead.

Encord scales with your team

A fully managed platform with Encord gives your teams more tools for data management, with none of the high cloud-hosting and engineering costs that often come with the ongoing maintenance of a CVAT deployment.

CVAT lacks granularity

Unlike CVAT, Encord gives your team a full suite of enterprise-grade annotation tools, AI-assisted labeling, advanced object tracking, native video rendering without downsampling, and frame-by-frame analysis.

Which is better: CVAT or Encord?

Which is better: CVAT or Encord?
		CVAT
Platform speed		Platform speed	Fast, cloud-native tooling easily handles large datasets	Suffers lag on large datasets at peak usage
Fast, cloud-native tooling easily handles large datasets	Suffers lag on large datasets at peak usage
Native video		Native video	Support for native video, frame synchronization and object tracking	Video frames become single images, creating frame errors
Support for native video, frame synchronization and object tracking	Video frames become single images, creating frame errors
Scalability		Scalability	Projects scale to 1 million+ data points	Constrained by server storage
Projects scale to 1 million+ data points	Constrained by server storage
No-code workflows		No-code workflows	Flexible, granular and highly-configurable workflows that can scale mid-project	Dependent on manual scripting
Flexible, granular and highly-configurable workflows that can scale mid-project	Dependent on manual scripting
Implementation		Implementation	Fully managed platform with dedicated implementation engineering team	Data upload and annotation setup dependent on user
Fully managed platform with dedicated implementation engineering team	Data upload and annotation setup dependent on user