Decision Support · Side-by-side
Compare pricing, strengths, and use cases so it is easier to pick the right fit.
Change tools
For non-technical users, neither Labelbox nor Labellerr is a good fit — both are enterprise tools for teams building custom AI models, not for everyday personal use. Labelbox wins for organizations needing top-tier security and complex 3D/video data handling, while Labellerr leads in auto-labeling speed and active learning. The single biggest difference: Labelbox is built for rigorous data exploration and compliance, whereas Labellerr prioritizes rapid pre-labeling and managed workforce services.
Labelbox
Labellerr
Scores at a glance
Choose Labelbox if
Choose Labellerr if
Key differences
Facts side by side
| Labelbox | Labellerr | |
|---|---|---|
| Free plan | ||
| Mobile app | ||
| API access |
Common questions
No. Neither tool has a mobile app. Both are web-based platforms designed for desktop use, primarily by data teams working with large datasets.
Neither is ideal. Both require technical skills to set up cloud storage, define ontologies, and use SDKs. You'd be better off with a simpler tool like Roboflow or Supervisely for basic image labeling.
Labelbox has a more accessible free tier for testing, but both become expensive quickly. Labellerr's Pro plan starts at $9,999/year, while Labelbox requires contacting sales for paid plans — expect similar enterprise-level pricing.
Both support DICOM, but Labelbox has a stronger reputation for compliance and security in healthcare. Labellerr also supports DICOM but may require more resources for rendering.
Yes, to get the most out of them. Both offer Python SDKs for automation, and setting up integrations with cloud storage requires some technical know-how. The basic labeling interface is point-and-click, but advanced features need coding.
Labelbox and Labellerr are powerful but complex enterprise tools — neither is suitable for everyday users, so look elsewhere unless you're building a professional AI model.
If you're a regular person looking for an AI tool to use on your phone or for simple projects, skip both Labelbox and Labellerr — they're built for professional data teams. For enterprise teams, Labelbox is the safer bet for compliance-heavy work, while Labellerr wins if speed and auto-labeling are your top priorities.
