State of the Art Natural Language Understanding

John Snow Labs’ NLP is an open source text processing library for Python, Java & Scala. It provides production-grade versions of the latest research in natural language processing – raising the bar on accuracy, speed, and scalability.

Unmatched Speed & Scale

Spark NLP was 80x faster than spaCy to train locally on 2.6MB of data.

Scale to a Spark cluster with zero code changes.

State of the art accuracy

First production-grade versions of novel deep learning NLP research.

Tune or reuse pre-trained models.

Most widely used in the enterprise

Widely deployed production-grade codebase.

New releases every 2 weeks since 2017.

Growing community.

Most Widely Used AI Frameworks and Tools

Kaiser Permanente uses Spark NLP to integrate domain-specific NLP as part of a scalable, performant, measurable, and reproducible ML pipeline and improve the accuracy of forecasting the demand for hospital beds.

Executive Director, Analytics Foundation at Kaiser Permanente

Why Us?


Spark NLP 2.0 obtained the best performing academic peer-reviewed results.


Spark-NLP is 1-2 orders of magnitude faster than spaCy to train NLP models locally


Zero code changes are needed to scale a pipeline to any Spark cluster.

Spark NLP augments the SelectData data science platform to accurately extract structured facts from home health patient records.

Chief information officer at SelectData

Out Of The Box Functionality

What We Offer

Roche applies Spark NLP for healthcare to extract clinical facts from pathology and radiology reports and simplify training, optimization, and inference of such domain-specific models at scale.

Director of Engineering for Diagnostic Information Solutions at Roche

Trainable to understand your language

Spark NLP is optimized for training domain-specific NLP models, so you can adapt it to learn the nuances of jargon and documents you must support.

We all speak many languages…

Spark NLP is the world's most widely used NLP library in the enterprise.

O'Reilly, Feb. 2019

Want to see Spark NLP in action?