Encord
Depends
Confidence: Medium
Buy if your ML team labels large image/video datasets at production scale and can absorb sales-led pricing.
New check
Comparison
Encord vs Labellerr
Encord and Labellerr both land on Depends.
Labellerr
Depends
Confidence: Medium
Buy if your team trains ML models and needs multi-modality labeling with AI pre-labeling at mid-market pricing.
| Compare | Encord | Labellerr |
|---|---|---|
| Verdict | Depends | Depends |
| Best for | ML teams with large image/video datasets | ML teams labeling images, video, audio |
| Who it's not for | Small teams labeling a few thousand images occasionally | Hobby projects . free CVAT/Label Studio suffice |
| Privacy | SOC 2 Type II certified; public security page, trust center, and compliance documentation maintained.⁶ | No known public vulnerabilities found in the sources reviewed. |
| Support quality | No support-quality evidence found | No review evidence found |
| Public sentiment | Reviews lean positive with praise for robust annotation, but cost and scaling complaints appear in community threads.¹ | Independent reviews are sparse but positive, describing Labellerr as a lightweight, multi-modality labeling tool that undercuts larger platforms.11 |
| Biggest gotcha | Pricing is sales-led: expect custom quotes and negotiation, not self-serve checkout.⁵ | Pro plan price gated behind FAQ/demo; expect a sales call to learn real cost |
Pick Encord when
- ML teams with large image/video datasets
- Computer vision and physical AI (robotics, drones)
- Healthcare AI needing compliance
- Teams wanting annotation plus curation plus eval
When Encord is not a fit
- Small teams labeling a few thousand images occasionally
- Buyers wanting transparent, self-serve pricing
- Startups without dedicated ML staff to run workflows
- Anyone needing a free open-source labeling tool
Pick Labellerr when
- ML teams labeling images, video, audio
- Startups wanting AI pre-labeling speedups
- Research groups on a budget
- Teams automating labeling via SDK/API
When Labellerr is not a fit
- Hobby projects . free CVAT/Label Studio suffice
- Enterprises wanting deep public security documentation
- Buyers needing big-vendor scale and support guarantees
- Teams not training ML models at all
Sources
- Encord Reviews 2026 . G2g2.comreview
- Dataloop vs Encord vs V7 . Redditreddit.comreview
- Label annotation tools . Redditreddit.comreview
review
review
- Security at Encordencord.comsecurity
- Encord Trust Centertrust.encord.comsecurity
- Encord $60M Series C announcementencord.comnews
- Encord company profile . PitchBookpitchbook.comnews
- Encord customer storiesencord.comofficial
- Labellerr Reviews . G2g2.comreview
- Labellerr . Capterracapterra.comreview
- Labellerr Review . SoftwareFindersoftwarefinder.comreview
review
review
- Labellerr Pricinglabellerr.comofficial