Get your text datasets and documents annotated in 55+ languages for various NLP tasks.
RUN FREE PILOTDeveloping models for NER, sentiment, and classification tasks
Experiencing text annotation delays, impacting project timelines
Delivering annotated text datasets for commercial needs
Require fast, precise annotation to satisfy the demand
Leveraging ML for text analysis, processing, and insights
Challenged by large amounts of raw text data
Creating annotated datasets for research and peer-reviewed publications
Limited by time and resources for manual annotation
Send your text dataset for a free annotation trial and experience our service, risk-free.
Review trial results to confirm they meet your quality standards and budget goals.
Receive a customized proposal based on your specific text annotation needs and project scope.
Kick off the annotation process with our dedicated team to speed up your project.
Receive your annotated dataset promptly, ensuring your project stays on time and within budget.
Send your sample data to get the precise cost FREE
Rely on consistent, high-quality output for complex datasets, detailed taxonomies, and edge cases.
Get quality engineered into every step through onboarding, evolving guidelines, QA, and continuous feedback.
Adjust team capacity, project size, and delivery model as you scale, with no setup fees or long-term lock-ins.
Align on goals, workflows, and expectations with a team that integrates into your process from day one.
Work with former annotators who understand annotation complexity, quality standards, and high-volume delivery.
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After running pilots with several annotation providers, Label Your Data delivered the strongest results by a clear margin, standing out on turnaround time, annotation quality, and the responsiveness of their feedback loops.
Maxime Debarbat
Senior ML Engineer (GenAI)
Trusted by ML Professionals
Text annotation services involve adding labels or tags to text data to make it understandable for machine learning models. Expert annotators at Label Your Data identify and mark elements like entities, sentiments, topics, or relationships within the text. An annotated text dataset helps your model recognize patterns and learn effectively for NLP tasks.
For text annotation, you apply labels to elements like names, dates, or keywords. At Label Your Data, this is done manually by experts or with automated tools, often both, to ensure quality. If you’re working on a complex or multilingual task, count on us as we speak 55 languages to meet diverse NLP project needs.