Should I use Labellerr?
Available on - labellerr.com
Depends. Buy if you're an ML team labeling real volumes of image/video data and want automation below Labelbox-style pricing. Skip it if you label a few hundred images a month — free open-source tools do that job.
Confidence
Medium. Based on ~40 public sources; many snippets truncated, so exact ratings and prices were unavailable.
Ratings
- Value for money
- Ease of use
- Feature depth
- Support qualityOnly vendor case studies; no independent support reviews
- Security posture
Pricing
Free/entry tier — see site
Researcher
ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
ProStarts at $ — exact figure on FAQ
Best for
- →ML teams labeling image and video data
- →Teams wanting AI-assisted auto-labeling
- →Startups seeking a cheaper Labelbox alternative
- →Engineers integrating labeling via SDK
Not for
- ×Hobbyists labeling a few hundred images — free CVAT/Label Studio wins
- ×Enterprises wanting vendor stability — $1.4M ARR startup risk
- ×Teams needing turnkey human-labeling workforces (Scale AI style)
- ×Guess: buyers requiring on-prem or air-gapped deployment
Gotchas - check before you buy
medium
Pro plan's starting price isn't surfaced publicly — confirm per-user vs per-label costs before committing.
medium
~$1.4M ARR startup — negotiate data-export rights and an exit plan up front.
medium
Most 'vs competitor' pages are Labellerr's own blog — validate claims against neutral G2/Capterra reviews.
Pros and cons
Pros
- +AI-assisted auto-labeling (LabelGPT) cuts manual annotation work
- +Covers image, video, and text annotation in one platform
- +SDK available for pipeline automation
- +Claims faster onboarding than Supervisely
- +Named customers include Stanford, Coupang, Deep Sentinel, Spare-It
Cons
- −Small vendor: ~$1.4M ARR, viability risk vs incumbents
- −Pro plan price not visible in public sources
- −Most competitor comparisons are self-published vendor content
- −'Lightweight' positioning suggests fewer enterprise features than Supervisely or V7
Sources & method
Analyzed 9/26/2026 - 10 sources - No known vulnerabilities found in the sources reviewed.
official x4review x4security x1news x1
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