Label Your Data is a web-based data annotation platform tailored for teams working on artificial intelligence and machine learning projects. It allows users to annotate, review, and manage large datasets efficiently across a wide array of data types�image, text, video, audio, and more. Built for speed and scale, the platform integrates AI-assisted labeling, collaboration tools, and quality assurance layers to streamline the entire data preparation lifecycle. Label Your Data is used by data science teams, NLP engineers, and AI labs looking to accelerate model development with accurate training data. The platform is fully customizable and supports complex tasks like named entity recognition, bounding box labeling, speech tagging, and more.
Label Your Data Review Summary Performance Score
A+
Content/Output Quality
High-Precision, Model-Ready Datasets
Interface
Enterprise Dashboard UI
AI Technology
- NLP
- Computer Vision
- Audio Recognition
- ML Pre-Labeling
Purpose of Tool
Annotate multi-format data to train AI and ML models
Compatibility
Web-Based; Enterprise APIs available
Pricing
Contact sales for custom pricing
Who is Best for Using Label Your Data?
- AI research teams: Needing high-precision labeled datasets at scale.
- Enterprise organizations: Training LLMs, CV, or speech recognition models.
- NLP developers: Creating entity recognition or sentiment analysis pipelines.
- Startups: Needing affordable, scalable annotation support without building from scratch.
- Data operations teams: Managing large-volume labeling across multiple formats.
Label Your Data Key Features Multi-Type Data Annotation (Text, Image, Audio, Video)
AI-Assisted Pre-Labeling
Human-in-the-Loop Review
Real-Time Project Dashboard
Quality Assurance System
Custom Ontologies & Workflows
Role-Based Team Management
Enterprise Data Security
API & Platform Integration
Is Label Your Data Free?
No, Label Your Data is a paid, enterprise-grade platform. Pricing is customized based on project complexity, data volume, annotation type, and required SLAs. You must contact their team for a tailored quote.
Label Your Data Pros & Cons
Supports diverse data types across multiple AI domains
Combines AI pre-labeling with human QA for accuracy
Scalable to enterprise data operations and large datasets
Custom workflows and team roles for flexibility
Real-time dashboards make project tracking effortless
No free tier or self-serve pricing listed
Onboarding may take time for complex use cases
Best suited for mid to large-scale AI teams
Limited visibility into backend AI model versioning
Requires demo request before full platform access
