NLP Lab provides annotation and labeling tools for language data, with updates to trial licensing and export filters.

johnsnowlabs.com/nlp-lab-4-10-introduces-in-ap…
Annotation Lab homepage screenshot

About Annotation Lab

Annotation Lab (also referenced as NLP Lab) is a web-based annotation and labeling tool for language data, developed by John Snow Labs. It supports structured collaborative workflows for annotating and managing labeled datasets. The 4.10 release introduced in-app trial license generation (users submit an organizational email to receive a validation link, after which the license auto-imports to the platform), commenting and tagging features accessible from the labeling page, improved task export filters, and re-introduced video content type support for annotation projects.

Key features

  • In-app trial license generation via organizational email submission
  • Add, update, delete comments on labeling page tasks
  • Create and manage tags directly from the labeling screen
  • Filter exported annotations by task type and label class
  • Support for video content type annotation projects
  • Consistent list-type image path in Visual NER export JSON
Best for: Teams collaborating on annotation and labeling of natural language and visual language data for NLP projects benefit most.
Good for
  • In-app trial license generation eliminates need for external navigation to obtain a license
  • On-labeling-page commenting and tagging improve team collaboration and task organization
  • Flexible export filters enable selective annotation export by task and label type

Annotation Lab at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Annotation Lab FAQ

How do I generate a trial license for NLP Lab?
Submit your organizational email on the “Get License” tab in the License page, then click the validation link sent to your email to auto-import the trial license.
Where can I add comments to annotation tasks?
Comments can be added, updated, or deleted via the Comments option in the burger menu at the top right of the labeling page.
How can I filter which annotations are exported?
Use the new export filters to select annotations by task type or specific labels, classes, assertion labels, or relations to include in exports.
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