Building out feature requests or trying to customize clunky labeling tools to fit your needs is a massive resource drain. Instead, lean on customizable workflows and a truly configurable UI.
Easily view analytics at the team, project, and individual level, giving clear insight into what’s happening at every level for your projects. Think QA reports, quick-insight dashboards, and the ability to surface—and resolve—inter-annotator disagreements in a couple of clicks.
Learn where roadblocks are as they happen, with easy access to the specific insight needed to keep timelines on track. Leverage all the management tools you need, from access management to role assignment, and from project assignment to flexible task partition.
Label quickly and efficiently with robust NLP labeling tools. All labeling features are designed with ease of use in mind, because labeling doesn’t have to feel tedious.
Datasaur audio labeling tools are built to handle complex audio labeling needs with simplicity in mind. In any language. Improve the quality of your audio or conversation transcription with an easy-to-use interface.
Play audio, implement noise detection to mitigate background noise, and follow along in the speech-to-text transcription automatically. Then, modify timestamps and edit transcription within the UI with minimal clicks. Meanwhile, leverage sentiment analysis, speaker detection, and audio classification for robust audio labeling and data output to fuel accurate, powerful ML models.
Get a feel for how easy labeling can be with this example of NER token-based labeling in the Datasaur Playground.
We are excited to announce the launch of our new bounding box labeling feature—now available in beta!
What happened in NLP and AI news in November? Read all about “safety AI”, predictions for AI in 2023, and more.