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Encord vs Labelbox

A side-by-side comparison of Encord and Labelbox, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Encord

Vision

Data platform to curate, label, and manage AI training data.

View Encord

Labelbox

Data Ops

Data factory for AI teams — labeling, evals, and human data for training.

View Labelbox

At a glance

Feature comparison of Encord and Labelbox
AttributeEncordLabelbox
Category (differs)VisionData Ops
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
Deployment (differs)HybridCloud
PlatformsWeb, APIWeb, API
Model support (differs)Multi-modelModel-agnostic
Vendor (differs)EncordLabelbox

The honest brief

Encord

Labels DICOM, NIfTI, LiDAR and SAR alongside images/video — built for regulated medical and physical-world AI.

  • DICOM/NIfTI/point-cloud support
  • HIPAA/SOC 2 for regulated data
  • Annotate + curate + index in one
  • Model-assisted labeling (SAM, GPT-4o)
  • Enterprise pricing, no free tier
  • Heavier than lightweight labelers
  • Onboarding/setup overhead
  • Overkill for simple image tasks

Labelbox

Combines an enterprise labeling UI, model-assisted pre-labeling, and an on-demand expert-labeler network in one usage-metered platform.

  • Mature, full-featured labeling UI
  • Catalog curation + Model Foundry evals
  • Spans RLHF, robotics, and eval datasets
  • Usage-based LBU pricing hard to forecast
  • Enterprise focus, steeper for small teams
  • Proprietary platform, no self-host