The most customizable
robust platform for NLP labeling

An advanced NLP data labeling tool, built to handle even your most complex NLP requirements. With quality and speed at the core, ready to be customized for your team’s needs.

Customizable workflows

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.

  1. 1.
    If you’re switching tools, use file transformers/converters to transfer work over and easily set up in and export from Datasaur.
  2. 2.
    Automate project creation and export, and manage access levels to keep your flow running smoothly.
  3. 3.
    Meanwhile, rely on real, human customer support and a PM who will take the time to understand your projects and feature requests. The Datasaur team is on hand to make sure everything is customized just the way you need it.

Advanced workforce management

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.

Robust, rapid NLP labeling

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.

  1. 1.
    First, leverage ML-assisted labeling tools and the ability to bulk label, pre-label, and flag inconsistencies or typos. Import your own models and label sets or use open-source label libraries like spaCy to automate the simple parts of the labeling process.
  2. 2.
    Then, let your team focus on the labeling specific to your organization. Robust tools allow for entity linking, multiple layers of labeling on a single token, sentiment analysis, intent labeling, PII anonymization, OCR, and so much more.
  3. 3.
    Label and transcribe in any language, whether left to right or right to left.

Comprehensive audio labeling

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.

Use LLM evaluation to improve model performance with user feedback

Evaluate your model by rating your LLM completions on a scale from 1 to 5. Provide your expected completion when you rate them less than 5 to enhance the accuracy and effectiveness of your model.

LLM ranking that is RLHF-friendly

Ranks the completions of your prompt from best to worst to help your model better understand your preferred response. These rankings play a crucial role in training a reward model, a fundamental step/aspect/element of RLHF. We recommend utilizing the open-source library trlX for this purpose.

Customizable and Robust Platform Designed for NLP Labeling

Datasaur offers specialized tools tailored to assist you effectively to supports your specific use cases with text, images, PDF document, and audio data formats.
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  • Text Classification
  • Named Entity Recognition
  • Named Entity Linking
  • Named Entity Disambiguation
  • Part of Speech
  • Coreference Resolution
  • OCR
  • Document Extraction
  • Image Classification
  • Image Captioning
  • Speech Transcription
  • Speaker Categorization/Diarization
and many more...

Advanced NLP data labeling for your industry

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Enterprise ready

Military-grade security
  • VPC and on-premise deployment options
  • End-to-end encryption
  • SOC2 / HIPAA certified
  • PII anonymization
Seamless integrations
  • File type transformers
  • Object storage (AWS, GCP, local, etc)
  • User management platforms (SAML, Google SSO, etc)
  • Automatic project creation and export
  • Open-source label libraries like spaCy and HuggingFace
  • Plug in your existing model via API
Hassle-free deployments
  • Datasaur-hosted on AWS
  • Public cloud of your choice
  • VPC and on-premise deployment
Military-grade Security
  • End-to-end encryption
  • SOC 2 compliant
  • HIPAA compliant
  • PII anonymization
  • VPC and on-premise deployment options
Seamless Integrations
  • File type transformers
  • Data storage integrations (AWS, GCP, etc.)
  • User management platforms (SAML, Google SSO, etc.)
  • Automatic project creation and export
  • Open-source label libraries like HuggingFace and spaCy
  • Plug in your existing model via API
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Hassle-free Deployments
  • Datasaur-hosted on AWS
  • Public cloud of your choice
  • VPC and on-premise deployment

Try out the Datasaur Playground

Get a feel for how easy labeling can be with this example of NER token-based labeling in the Datasaur Playground.

Try it out

Get a custom demo

Schedule a custom demo and see how Datasaur can be applied to your labeling projects.
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