CVAT alternatives

3 tools to consider instead of CVAT, shown against it.

CVAT Label Studio V7 Encord
Vendor CVAT.ai (open-source project, originated at Intel) HumanSignal, Inc. (open-source project) V7 Labs Ltd. Cord Technologies Ltd.
Pricing model Open source + paid options Open source + paid options Quote only Quote only
Free tier Yes Yes — —
Deployment Self-hosted, Cloud Self-hosted, Cloud Cloud Cloud, Self-hosted
Open source Yes (MIT) Yes (Apache-2.0) No No
Best for Computer-vision teams that want a free, self-hosted tool focused specifically on image/video annotation. Teams that want a free, self-hosted, reconfigurable annotation tool across multiple data types. Teams annotating medical imaging, video or document data that need format breadth beyond standard image/text labeling. Teams that want curation, annotation and model evaluation tightly integrated, including regulated/on-prem deployments.
Pricing

The open-source core is free and self-hosted; a hosted SaaS/enterprise version with paid plans is also offered.

Pricing has not been verified yet — see the vendor's site.

The open-source core is free and self-hosted; HumanSignal also sells a managed cloud/enterprise version.

Pricing has not been verified yet — see the vendor's site.

Custom pricing combining a platform fee, per-user licenses and volume-based data-processing charges; no published tiers.

Checked on the vendor's own page on September 21, 2026: no prices are published. Expect to be quoted.

No public pricing found; quoted per team and data volume, contact sales.

Pricing has not been verified yet — see the vendor's site.

Features
  • Bounding box, polygon, polyline, point, cuboid and skeleton annotation
  • Frame-interpolation tracking for video annotation
  • AI-assisted labeling via integrated model serving (e.g., Segment Anything)
  • Self-hosted deployment via Docker
  • Hosted SaaS version (cvat.ai) available
  • Multi-user projects with task assignment and review stages
  • Import/export in common CV formats (COCO, YOLO, Pascal VOC)
  • Configurable labeling UI across image, text, audio, video and time-series data
  • Pre-annotation and model-prediction import for review-based labeling
  • Webhook integration into ML training pipelines
  • Multi-user projects with role-based permissions
  • Active-learning loop support via ML backend connections
  • Self-hosted deployment via Docker
  • Managed cloud/enterprise version available from HumanSignal
  • Support for 50+ data formats including DICOM and SVS medical imaging
  • Automated object tracking across video frames
  • AI-assisted auto-segmentation and pre-labeling
  • Workflow orchestration for human-in-the-loop review
  • PDF and document annotation support
  • Role-based access and QA stages
  • API/SDK for pipeline integration
  • Data curation across images, video, audio, text and medical imaging
  • AI-assisted labeling (SAM-2, GPT-4o-assisted annotation)
  • Model evaluation and active-learning gap detection
  • Data Agents for programmatic platform extension
  • VPC and on-premise/air-gapped deployment options
  • DICOM medical imaging and LiDAR/3D point-cloud support
  • Direct-access integration with AWS, GCP, Azure and Oracle Cloud

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