Label text and documents in 55+ languages for computer vision and NLP tasks.
RUN FREE PILOTTraining models for NER, sentiment analysis, document classification
Facing delays in text labeling, slowing down project timelines
Supplying labeled text datasets for commercial use
Need fast and accurate labeling to meet customer demand
Using ML models for text analysis, document processing, and customer insights
Struggling to manage large volumes of raw text data
Preparing labeled datasets for research and peer-reviewed publications
Limited time and resources for manual labeling tasks
Send in your text dataset for a free labeling trial and see how our service works, risk-free.
Evaluate the trial results to ensure they meet your quality requirements and cost expectations.
Get a tailored proposal based on your unique text labeling needs and project scope.
Launch the text labeling process with our dedicated team to accelerate your project.
Receive your labeled dataset promptly, keeping your project on time and within budget.
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Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.
Kyle Hamilton
PhD Researcher at TU Dublin
Trusted by ML Professionals
Text labeling is the process of tagging parts of text, like words or phrases, to make them understandable for machine learning models. This can include identifying entities (like names or locations), classifying sentiment, or organizing documents into categories.
Prices for bounding boxes can vary depending on the complexity of the project. You can check out more details on our pricing models at Label Your Data or use our cost calculator to get an estimate tailored to your needs.
Text annotation services involve labeling text data to help train machine learning models. This could mean tagging entities, labeling sentiments, or organizing data for tasks like translation or summarization. It’s an essential step for building accurate NLP models.