Labellerr

C tier on Image Annotation SoftwareScore 6.9 · #4 of 28

Android app: Not listed
Free plan: Yes
Paid plans from: $833.25/mo
Runs on: api, self-hosted, Web

labellerr.com

Summary

Labellerr is a data labeling and annotation platform for machine-learning teams preparing training data. Projects can use images, video, PDFs, text, and audio, with image formats including JPG, JPEG, PNG, BMP, and TIFF. Annotation options include bounding boxes, polygons, polylines, keypoints, classification, segmentation, and object detection. Automated labeling includes prompt-based and model-assisted methods, along with active learning; the platform says it natively supports Meta’s SAM, SAM 2, and SAM 3. A Python SDK supports dataset and workflow management in ML pipelines. Export options include COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats. AWS S3, Google Cloud Storage, and Azure Blob are listed as remote storage options. Integrations with GCP Vertex AI, AWS SageMaker, and Azure ML are add-ons for applicable plans. The free Researcher Plan includes 2,500 data credits, one seat, one workspace, and up to 10 projects. Pro costs $9,999 annually and includes 100,000 data credits; unused credits do not carry over.

Who it is for

Labellerr may suit AI and machine-learning teams preparing image, video, document, text, or audio datasets. The free Researcher Plan is specifically listed for students and researchers, while Pro supports larger seat counts and unlimited projects.

What is good

Supports multiple data types and annotation methods.
Offers model-assisted labeling and active learning.
Python SDK supports workflow management in ML pipelines.
Exports to listed common and custom formats.

What to know first

Unused data credits do not carry over.
Pro costs $9,999 annually.
Vertex AI, SageMaker, and Azure ML integrations are add-ons.
Private cloud and on-premise hosting are add-ons.

Verdict

Labellerr combines varied annotation workflows, programmatic access, and multiple export formats. Consider the credit limits, annual Pro price, and add-on costs for integrations or hosting when assessing a plan.

Labellerr plans and pricing

All plans

Researcher Plan Free Free 2,500 data credits · 1 seat · 1 workspace · up to 10 projects · students and researchers labellerr.com · 4 Oct 2026

Pro Plan $9,999/yr $9,999 annually 100,000 data credits · up to 200 seats · unlimited projects · extra credits and seats available labellerr.com · 4 Oct 2026

Enterprise Plan Not published Custom Unlimited data credits and seats · multiple workspaces · SSO · enterprise SLA and support · private cloud and on-premise add-on labellerr.com · 4 Oct 2026

Compared on image annotation software

Free plan: Yeslabellerr.com
Annotation types: Bounding box, polygon, polyline, keypoint, dot, classification, segmentation, object detectionlabellerr.com
Image formats: JPG, JPEG, PNG, BMP, TIFFlabellerr.com
Model-assisted labeling: Yeslabellerr.com
Dataset export: COCO JSON, YOLO, Pascal VOC XML, CSV, custom formatslabellerr.com
Team collaboration: Yeslabellerr.com
API access: Yeslabellerr.com

Facts

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