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Labellerr

labellerr.com

From $833.25/mo Free plan WebAPISelf-hosted
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Spec score 8.3 #7 of 28 in Image Annotation Software

What it is

Labellerr is a data labeling and annotation platform for AI and machine-learning teams preparing training data. Projects can use images, videos, PDFs, text, and audio. Annotation options include bounding boxes, polygons, polylines, keypoints, dots, classification, segmentation, and object detection. Automated labeling includes prompt-based and model-assisted methods, plus active learning; the company also states native support for Meta’s SAM, SAM 2, and SAM 3. A Python SDK can manage datasets and workflows in ML pipelines. Annotated data can be exported in formats such as COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats. Remote storage options include AWS S3, Google Cloud Storage, and Azure Blob; integrations with Vertex AI, SageMaker, and Azure ML are add-ons for applicable plans. Stated security measures include Auth0 authentication, TLS 1.2 or higher in transit, and AES-256 encryption. The free Researcher plan includes 2,500 data credits, one seat, one workspace, and up to 10 projects. Pro costs $9,999 a year, and unused data credits do not roll into the next payment cycle.

Spec sheet

Purpose
Labellerr is a data labeling and annotation platform for preparing training data for AI and machine learning teams.Read 4 Oct 2026 · labellerr.com
Security
Labellerr says it uses Auth0 authentication, TLS 1.2 or higher in transit, and AES-256 encryption for data.Read 4 Oct 2026 · labellerr.com
Support
Enterprise plans include 24/7 email, chat, and call support, while Researcher and Pro list business-hours email support.Read 4 Oct 2026 · labellerr.com
Headquarters
San Francisco, California, United StatesRead 28 Sep 2026 · labellerr.com
Founded
2018Read 28 Sep 2026 · labellerr.com
Automated labeling
Its automated labeling features include prompt-based labeling, model-assisted labeling, and active learning.Read 4 Oct 2026 · labellerr.com
Cloud storage
The enterprise page names AWS S3, Google Cloud Storage, and Azure Blob as supported remote data storage options.Read 4 Oct 2026 · labellerr.com
Data credit limit
The pricing page says unused data credits do not carry forward to the next payment cycle.Read 4 Oct 2026 · labellerr.com
Data types
The platform supports projects using images, videos, PDFs, text, and audio.Read 4 Oct 2026 · labellerr.com
Exports
The homepage lists CSV, JSON, COCO, Pascal VOC, and custom formats for annotated data export.Read 4 Oct 2026 · labellerr.com
Hosting
Enterprise plans list private cloud and on-premise hosting as an add-on, and the platform page describes deployment on customer cloud infrastructure or hardware.Read 4 Oct 2026 · labellerr.com
Maker and offices
The site identifies Tensor Matics Inc and lists a San Francisco office and an India office in Chandigarh.Read 4 Oct 2026 · labellerr.com
ML integrations
The pricing page lists integration with GCP Vertex AI, AWS SageMaker, and Azure ML as an add-on for applicable plans.Read 4 Oct 2026 · labellerr.com
SAM
Labellerr states that it natively supports Meta’s SAM, SAM 2, and SAM 3 for annotation.Read 4 Oct 2026 · labellerr.com
SDK
A Python SDK can be used to manage datasets and workflows programmatically in ML pipelines.Read 4 Oct 2026 · labellerr.com
Who it serves
The company describes its platform as helping machine-learning teams build computer-vision AI, including teams in automotive, medical imaging, and manufacturing.Read 4 Oct 2026 · labellerr.com

Plans and prices

Researcher Plan Free Free 2,500 data credits · 1 seat · 1 workspace · up to 10 projects · students and researchers Read 4 Oct 2026 · labellerr.com
Pro Plan $9,999 a year $9,999 annually 100,000 data credits · up to 200 seats · unlimited projects · extra credits and seats available Read 4 Oct 2026 · labellerr.com
Enterprise Plan Priced on request Custom Unlimited data credits and seats · multiple workspaces · SSO · enterprise SLA and support · private cloud and on-premise add-on Read 4 Oct 2026 · labellerr.com

Every Labellerr plan and price →

Strong points and limits

Strong points

  • Supports image, video, PDF, text, and audio projects.
  • Includes prompt-based labeling, model assistance, and active learning.
  • Python SDK supports dataset and workflow management.
  • Exports include COCO JSON, YOLO, and custom formats.

Limits

  • Researcher plan includes 2,500 data credits.
  • Unused data credits do not carry forward.
  • Pro costs $9,999 a year.

Who it suits

Labellerr suits machine-learning teams preparing data for computer-vision projects, including teams in automotive, medical imaging, and manufacturing. A free Researcher plan is listed for students and researchers.

Verdict

Labellerr covers multiple data types, annotation methods, and export formats, with programmatic workflow support. Compare plan credits and add-on integrations against the scale and infrastructure needs of the project.

Where Specifiction places it

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