Best Cvat Alternatives ranked by AI · updated May 2025

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CVAT is an open-source video and image annotation tool.

Price: Free and open-source

Top 6 Cvat alternatives

1 Supervisely logo

Supervisely

Supervisely

Supervisely is a computer vision platform combining data annotation, dataset management, model training, and deployment tools. It targets research groups and ML...

Pros

  • More complete computer vision workflow than Heartex alone
  • Includes dataset management, training, and model deployment capabilities
  • Rich support for segmentation, detection, and video annotation

Cons

  • More focused on computer vision than Heartex's broader modality support
  • Full enterprise functionality requires a paid plan
  • Larger feature set can feel heavier for simple labeling tasks

Free community plan; paid plans custom

2 Labelbox logo

Labelbox

Labelbox

Labelbox is a commercial data-labeling platform for building, managing, and evaluating machine-learning datasets. It targets enterprise AI teams with workflow automation, model-assisted...

Pros

  • More mature enterprise workflow and dataset-management features
  • Strong model-assisted labeling and quality-review capabilities
  • Better suited to large teams than many self-hosted annotation tools

Cons

  • Paid pricing is less transparent than open-source alternatives
  • Can be more expensive for small projects or individual users
  • Some advanced capabilities depend on enterprise plans and integrations
4 Dataloop AI logo

Dataloop AI

Dataloop Ltd.

Dataloop is an AI data platform for collecting, annotating, managing, and evaluating datasets used to train machine-learning models. It is aimed at...

Pros

  • Combines annotation, dataset management, workflow automation, and model evaluation in one platform
  • Supports computer vision, video, audio, text, and multimodal data workflows
  • More extensive automation and pipeline orchestration than lightweight annotation tools

Cons

  • Pricing is less transparent than CVAT and other self-service tools
  • Broader platform scope can make setup more complex than focused annotation products
  • May be more infrastructure than small teams need for occasional labeling
6 Heartex logo

Heartex

HumanSignal (formerly Heartex)

Heartex is an open-source data labeling platform for machine learning teams working with text, images, audio, video, and time-series data. Its standout...

Pros

  • Open-source core supports self-hosting and data control
  • Handles multiple data types in one annotation workflow
  • Extensible interfaces and APIs support custom labeling operations

Cons

  • Requires more setup and administration than hosted labeling platforms
  • Enterprise governance and support features require a paid plan
  • Workflow configuration can be less approachable for nontechnical teams

Free, enterprise pricing custom

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