Labellerr

Freemium#15 of 28 in Image Annotation Software

AI-powered image annotation with active learning and flexible exports

9.0/10Editor score

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At a glance

Editor score
9.0 / 10
Pricing
Free plan · paid from $9,999/yr
Best for
Teams wanting active learning and many exports
Free plan
Yes
Model-assisted labeling
Yes
Founded
2018 · San Francisco, California, United States
Facts checked
20 Sep 2026

Where it wins
- Supports boxes, polygons, polylines, keypoints, dots, and classification
- SAM-based automation, active learning, and custom model-assisted labeling
- Exports to COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats
Where it doesn't
- The listed Pro plan costs $9,999 per year
- Researcher is limited to 2,500 data credits and 1,000 files
- Advanced automation and human-in-the-loop services are on Pro

Our verdict on Labellerr

Labellerr is a web-based data annotation platform for AI and machine learning teams working with image datasets. Its image tools cover bounding boxes, polygons, polylines, keypoints, dots, classification, object detection, segmentation, and pose estimation. The platform is suited to students and researchers through its Researcher plan, as well as teams managing larger machine learning workflows. It also supports video, audio, document, and text datasets, with project management, annotation workflows, analytics, APIs, and a Python SDK.

Pricing separates an entry-level Researcher plan from paid business tiers. Researcher includes 2,500 data credits, 1,000 files, 1 seat, 1 workspace, and 10 projects. Pro is listed at $9,999 per plan per year and adds 100,000 data credits, up to 200 seats, unlimited projects, advanced automation features, and human-in-the-loop services. Enterprise adds multiple workspaces, unlimited data credits and seats, single sign-on, enterprise SLA and support, plus private cloud and on-premise add-ons. The structure gives smaller research projects a defined starting point, while the annual Pro price makes larger deployments a significant commitment.

Its strongest fit is for teams that value model-assisted labeling and downstream dataset flexibility. Labellerr supports SAM, SAM 2, SAM 3, and custom models, along with active learning, prompt-based labeling, pre-annotation review, and workflow analytics. Dataset exports include COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats. AWS S3, Google Cloud Storage, Azure Blob Storage, webhooks, CI/CD, the API, and Python SDK support broader platform integration. Teams needing self-hosting, single sign-on, or private cloud options can consider Enterprise. Smaller projects needing only basic annotation may find the Pro commitment disproportionate, while teams seeking automation, collaboration, and many export paths have a stronger case for Labellerr.

Labellerr pricing

Plans Free plan · paid from $9,999/yrFreemium A usable free plan; paid tiers unlock the limits above. Prices re-checked Sep 2026.

See plans on labellerr.com

All 3 Labellerr plans and prices →

Labellerr fact sheet

Free plan	Yes
Paid from	Not verified
Annotation types	Bounding box, polygon, polyline, keypoint, dot, classification, segmentation, object detection
Image formats	JPG, JPEG, PNG, BMP, TIFF
Model-assisted labeling	Yes
Dataset export	COCO JSON, YOLO, Pascal VOC XML, CSV, custom formats
Team collaboration	Yes
API access	Yes
Deployment	Cloud, Self-hosted
Platforms	Web
Compliance & security	SOC 2, GDPR, HIPAA
Support	Email, Live chat, Phone, Docs · 24/7
Built for	Small business, Mid-market, Enterprise (editorial estimate)
Integrations	5 integrations: AWS S3, Google Cloud Storage, Azure Blob Storage, Python SDK, Webhooks and CI/CD
Pricing	Free plan · paid from $9,999/yr (source)
Website	labellerr.com
Facts checked	20 Sep 2026

Labellerr integrations

Labellerr lists 5 integrations on its own site.

AWS S3
Google Cloud Storage
Azure Blob Storage
Python SDK
Webhooks and CI/CD

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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