If you need a tool to automate text annotation for your NLP models, UBIAI is a top pick. This one-stop-shop text annotation tool uses AI and machine learning to dramatically reduce annotation time, with features like auto-labeling, OCR annotation, document classification, and team collaboration. It works with multiple languages and document types, so it can be used in a variety of industries like finance, health care and tech. UBIAI also offers flexible pricing options including a free basic plan, and it protects data with full encryption and SOC2 compliance on AWS cloud servers.
Another top pick is SuperAnnotate, an end-to-end enterprise platform for training, evaluating, and deploying NLP models. It can pull data from local and cloud storage systems and has a customizable interface to accommodate a broad range of tasks. The platform includes data integration, customizable UI, dataset creation, model evaluation, and deployment to multiple environments. SuperAnnotate also has a global marketplace of vetted annotation teams and advanced data insights and analytics, and it protects data with security and quality controls.
V7 is another powerful tool for automating text annotation, and it's notable for its ability to reduce labeling costs by up to 80%. It offers Auto-Annotate, Custom Data Workflows, Advanced Image Manipulation, and Video Annotation, making it a good fit for industries like health care, insurance and finance. V7 also complies with regulations like SOC2, HIPAA and FDA, and offers tiered pricing to accommodate different needs.
If you want a flexible and open-source option, check out Label Studio. This tool can handle a range of data types, including images, audio, text and video, and offers customizable layouts, ML-assisted labeling and integration with cloud storage systems. Label Studio is free to install and can handle multiple projects and users, making it a good option for data scientists and companies of all sizes.