Labelbox alternatives

4 tools to consider instead of Labelbox, shown against it.

Labelbox Scale AI Encord V7 SuperAnnotate
Vendor Labelbox, Inc. Scale AI, Inc. Cord Technologies Ltd. V7 Labs Ltd. SuperAnnotate AI, Inc.
Pricing model Quote only Usage-based Quote only Quote only Quote only
Free tier Yes Yes — — —
Deployment Cloud Cloud Cloud, Self-hosted Cloud Cloud
Open source No No No No No
Best for Enterprise ML teams needing multimodal annotation plus a path into RLHF/agent-training data collection. Foundation-model builders and enterprises needing outsourced labeling capacity, not just an annotation UI. Teams that want curation, annotation and model evaluation tightly integrated, including regulated/on-prem deployments. Teams annotating medical imaging, video or document data that need format breadth beyond standard image/text labeling. Organizations running sustained, high-volume multimodal annotation programs.
Pricing

A free starter tier is offered; paid plans and managed workforce/RLHF services are quoted per team, contact sales.

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

Self-serve Data Engine is pay-as-you-go with a small free allowance; larger programs are custom enterprise contracts.

Self-Serve Data Engine pay as you go
Enterprise custom

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

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

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.

Plans are metered by compute hours (Starter/Pro/Enterprise); no public prices, contact sales.

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

Features
  • Multimodal annotation editors (vision, NLP, audio, geospatial, LLM chat)
  • Catalog for data curation and example prioritization
  • Model-assisted pre-labeling to speed up annotation
  • RL environments and preference-signal collection for LLM post-training
  • Managed expert workforce access for specialized tasks
  • Role-based review and QA workflows
  • API/SDK for pipeline integration
  • Managed human labeling workforce alongside self-serve tooling
  • Image, video, text, LiDAR and multi-sensor annotation
  • RLHF and human-feedback data collection for LLMs
  • Model evaluation and red-teaming services
  • Data curation and quality-control workflows
  • API and SDK for programmatic task submission
  • Enterprise SLAs and dedicated support on larger contracts
  • 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
  • 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
  • Customizable multimodal editor (image, video, text, audio)
  • Data curation and interactive analytics dashboards
  • Team management and role-based workflows
  • Compute-hour based usage metering
  • AI DataOps consulting on higher tiers
  • SSO and dedicated customer success on Pro/Enterprise
  • API/SDK for pipeline integration

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