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
Labelbox
Data OpsData factory for AI teams — labeling, evals, and human data for training.
View LabelboxAt a glance
| Attribute | Encord | Labelbox |
|---|---|---|
| Category (differs) | Vision | Data Ops |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | Multi-model | Model-agnostic |
| Vendor (differs) | Encord | Labelbox |
| Capabilities (differs) |
|
|
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
When to pick which
Both cover LLM evaluation and Data labeling.
Pick Encord if you need Vector search.
- Vector search (secondary capability)
Pick Labelbox if you need Unified search.
- Unified search (secondary capability)
Labelbox leans on LLM evaluation as a headline capability; Encord treats it as secondary.
- LLM evaluation (primary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
- Deployment
- Hybrid · Cloud