High quality labels 99x faster
Data updated Jul 11, 2026 · Traffic data: SimilarWeb (estimated)
Labellerr helps AI teams to prepare data efficiently for machine learning models.
Labellerr is an AI tool tracked by Relve in the AI SEO Tools category. It uses a Freemium pricing model and runs on the web at labellerr.com.
The Relve catalog tracks 400+ live tools in AI Operations Tools. Labellerr is part of the editorial tracking surface, with a Domain Rating of 20 on Ahrefs' authority scale.
Closest alternatives: Activepieces, Adaptor Die, Adept, Adereso, AG11 Lab. Compare Labellerr head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.
Best for: teams looking for ai seo tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Labellerr on a rolling 24-hour cycle (last updated Jul 11, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.
Comprehensive solution for efficient data labeling
Labellerr provides a comprehensive solution designed to streamline the data labeling process. This feature enhances efficiency by automating various aspects of data annotation, allowing users to focus on higher-level tasks while ensuring high-quality outputs.
Efficient and scalable image annotation solution
The image annotation platform offers tools that are both efficient and scalable, catering to the needs of users who require extensive image labeling. This feature ensures that users can handle large datasets without compromising on quality or speed.
Advanced tools for dynamic video labeling
Labellerr's video annotation platform includes advanced tools specifically designed for dynamic video labeling. This feature allows users to annotate videos with precision, making it ideal for applications in various industries such as security and sports analysis.
Powerful tools for accurate text labeling
The text annotation platform provides powerful tools that facilitate accurate labeling of text data. This feature is essential for users working with natural language processing tasks, ensuring that the labeled data meets high standards of quality.
Precision tools for medical image annotations
Labellerr offers specialized DICOM annotation tools that provide precision for medical image annotations. This feature is crucial for healthcare applications, ensuring that medical data is labeled accurately for AI training.
Automated Labeling
This feature utilizes prompt-based labeling, model-assisted labeling, and active learning to automate the labeling process. It significantly speeds up the annotation workflow, allowing users to achieve faster results without sacrificing quality.
Upload Pre-Annotations
Users can upload their pre-annotations directly to Labellerr for review, editing, and refinement. This feature streamlines the validation process, allowing users to bypass initial manual labeling and focus on quality assurance.
Multiple data types support
Labellerr supports a variety of data types, including images, videos, PDFs, text, and audio. This feature allows users to manage diverse projects without needing to switch between different tools, enhancing workflow efficiency.
Create and Manage Projects
Labellerr's labeling engine enables users to create and manage annotation projects effectively. This feature combines automation with human expertise to improve accuracy and significantly reduce turnaround times for extensive datasets.
Project management with Advanced analytics
This feature provides advanced analytics tools that allow users to manage their projects effectively. It offers insights into the quality of outputs and helps in tracking project progress, ensuring that users maintain control over their data labeling efforts.
Seamless SDK Integration
Labellerr's SDK allows users to integrate the platform directly into their machine learning pipelines. This feature automates workflows and accelerates delivery, enabling users to scale their production with minimal developer overhead.
Automate your pipeline with SDK
The high-performance SDK enables users to programmatically fetch and sync high-quality data for their machine learning training loops. This feature streamlines custom AI workflows and automates real-time data fetching, enhancing overall efficiency.
Smart SAM Integration
Labellerr natively supports Meta’s SAM, SAM 2, and SAM 3 for high-precision masking. This feature drastically accelerates the annotation of complex datasets, making it easier for users to manage intricate labeling tasks.
Enterprise Grade Security & Privacy
Labellerr prioritizes the protection of customer data, implementing robust security measures to ensure confidentiality and integrity. This feature is essential for users who handle sensitive information and require a secure environment for data annotation.
Authentication and Transmission Security
Labellerr uses Auth0 for authentication, ensuring that only verified users can access the platform. Data in transit is secured using Transport Layer Security (TLSv1.2+) protocols, providing an additional layer of protection.
Encryption and Access Control
All data, including labeled data and private user information, is encrypted using the AES-256 standard. This feature ensures that sensitive information is safeguarded against unauthorized access.
Customer Hosting Options
Labellerr offers the option to host assets on a preferred cloud platform, utilizing various security features like signed URLs or delegated access. This flexibility allows users to maintain control over their data hosting environment.
Least Privilege and Monitoring
Access controls are designed to align with best security practices, minimizing the risk of unauthorized access. Comprehensive logs of access activities are maintained for ongoing monitoring and security assessments.
Free Data Annotation Workflow Plan
Native integrations· 2
Zapier· 1
Data Annotation Platform
For: AI Teams
Image Annotation Platform
For: Image Processing Teams
Video Annotation Platform
For: Video Analysis Teams
Healthcare Data Annotation
For: Healthcare Professionals
Automotive Data Annotation
For: Automotive Engineers
LLM Data Annotation
For: NLP Teams
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Traffic data: SimilarWeb (estimated) · updated Jul 11, 2026
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