Sold by: John Snow Labs
Deployed on AWS
State-of-the-Art Natural Language Processing libraries and Python notebooks. Includes licensed software & models for text mining, DL and Visual model training, tuning, and testing.
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Overview
John Snow Labs - Healthcare NLP Libraries are designed to help organizations extract insights from unstructured documents and enable faster, more accurate data analysis. Healthcare NLP is a cutting-edge natural language processing solution designed specifically for the healthcare domain, leveraging advanced machine learning algorithms and a vast medical knowledge base. Healthcare NLP excels in transforming raw healthcare data into structured, actionable information.
This product allows the generation of a flexible package of floating licenses for John Snow Labs Natural Language Processing Python libraries. At subscription time users can specify the number of licenses they need for each library - Healthcare NLP, Visual NLP, Finance NLP, and Legal NLP and the duration of the subscription. When the product is deployed on an EC2 machine, a license bundle is automatically generated and loaded in the Jupyter Lab environment. Users can right away start annotating their text documents with pretrained DL models, rules, and prompts, or train and tune new models. For facilitating quick experiments, we included a set of ready-to-use notebooks in the product, available in the Jupyter Lab environment.
The license package can be used on the AWS servers where this product is deployed or can be downloaded and used locally (e.g. local machines or colab environments). The license bundle can be shared by a team of data scientists or used inside the NLP Lab product to unlock Visual, Healthcare, Finance, or Legal features, according to the bundle configuration.There is no limit on the number of documents, models, or pipelines that can be used with this subscription. However, the number of parallel pipelines/jobs that can be run is limited to the number of floating licenses selected at subscription time.
What is included
- Spark NLP, the most widely used NLP library in the Enterprise providing production-grade, scalable, and trainable versions of the latest research in NLP and access to 700+ Embeddings, and 15,000+ pretrained models and pipelines covering tasks such as Entity Recognition, Information Extraction, Spelling and Grammar, Text Classification, Translation, Summarization, Question Answering etc.
- Healthcare NLP software and models, enabling clinical and biomedical Named Entity Recognition for 400+ entity types, assertion status detection (identify between positive, negative, possible, past, and future facts), clinical relation extraction, clinical entity resolution to SNOMED-CT, ICD-10, CPT, RxNorm, LOINC, NDC, ICD-I, MeSH, UMLS.
- Finance NLP software and models, enabling financial text classification, financial sentiment analysis, financial Named Entity Recognition (e.g. organizations, products, revenue, profit, losses, trading symbols, etc.), Entity-linking for normalizing NER entities and linking them to databases such as Edgar, Crunchbase, and Nasdaq, Assertion Status for inferring temporality and Relation Extraction financial De-identification and more.
- Legal NLP software and models, covering Named Entity Recognition, Information Extraction on clauses, Legal Clause Classification, Legal Relationship Extraction, Entity Linking, Legal De-identification Assertion Status, and Relation Extraction. It includes access to over 300+ new state-of-the-art models available in multiple languages.
- Visual NLP (OCR) software and models, enabling form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, DICOM to text, signature detection, and image de-identification.
- Access to models and pipelines published on the NLP Models Hub (currently 17,900+ and counting).
- 30+ Ready-to-use Jupyter notebooks that will help you get started with text and image analysis on all major NLP tasks.
Technical Specifications
- Recommended memory: 32GB RAM
- Recommended vCPU:8 vCPUs
- Operating System:Ubuntu 20.04
Included integrations
- Jupyter Lab is preinstalled and running on port 5000. Password: INSTANCE_ID
3 Easy Steps to get started
- Subscribe to the product on the AWS Marketplace.
- Deploy it on a new machine.
- Access the welcome page for a guided experience on http://INSTANCE_IP.
Highlights
- The most widely used NLP library in the enterprise, available as a turnkey package for data scientists including Spark NLP, Healthcare NLP, Finance NLP, Legal NLP, Visual NLP, plus visualization and model testing libraries.
- Peer-reviewed, State-of-the-Art accuracy for clinical and biomedical NLP. This includes access to 700+ pre-trained models covering entity recognition, entity linking, relations, assertions, text classification, and de-identification.
- State-of-the-Art visual form and document understanding - enabling entity extraction, table extraction, key-value extraction, document classification, and de-identification.
Details
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Delivery method
Delivery option
John Snow Labs NLP Libraries with cloud formation
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Healthcare NLP | License for Healthcare NLP | $8,000.00 |
Medical LLMs | License for Medical LLMs | $8,000.00 |
Fin Legal NLP | License for Finance and Legal NLP | $4,400.00 |
VisualNLP | License for Visual NLP | $4,400.00 |
Vendor refund policy
No refunds offered. For any questions email us at info@johnsnowlabs.com
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
John Snow Labs - NLP Libraries Prepaid 6.2.0 includes:
- Visual NLP 6.4.0
- Healthcare NLP 6.4.0
- Legal NLP 2.0
- Finance NLP 2.0
- Spark-NLP 6.4.0 Release notes - https://nlp.johnsnowlabs.com/docs/en/jsl/jsl-release-notes
Additional details
Usage instructions
No sensitive information related to you or your organization will be managed or stored by the John Snow Labs NLP library on the instance(s) where you deploy the product. It is the user's responsibility to safely manage sensitive documents processed using the John Snow Labs NLP libraries. The software does not call home - all document processing is done locally and documents are not copied nor shared outside of the running instances.
Data Encryption: This solution does not encrypt data within the running instance.
Cryptographic keys: John Snow Labs NLP product does not use credentials and cryptographic keys.
Usage instructions:
On instance startup, navigate to http://<PUBLIC_IP_OF_INSTANCE> to access the landing page of the product. Here you will find information about the libraries included in your subscription and links to ready-to-use notebooks for the most popular tasks. Click on one of the library boxes to navigate to your John Snow Labs - NLP Jupyter server and run the notebooks on your data. On the first deployment, a license key is generated for you according to the configuration you specified in your subscription and when that becomes available you will be able to download it for use in your custom NLP pipelines.
The password for connecting to Jupyter Lab is the instance id.
To run one of the notebooks, just click on it to open it and then click Run.
To connect to the operating system, use SSH and the username ubuntu.
Resources
Support
Vendor support
Technical support by John Snow Labs Team support@johnsnowlabs.com Contact AWS-sales-support@johnsnowlabs.com for any non-technical support.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
Pretrained Model Library
Access to 15,000+ pretrained models and pipelines covering entity recognition, information extraction, spelling and grammar, text classification, translation, summarization, and question answering tasks.
Clinical NLP Capabilities
Clinical and biomedical named entity recognition for 400+ entity types, assertion status detection, clinical relation extraction, and entity resolution to medical coding systems including SNOMED-CT, ICD-10, CPT, RxNorm, LOINC, and UMLS.
Visual Document Processing
Optical character recognition and visual document understanding including form understanding, table detection and extraction, noisy image enhancement, visual document classification, visual entity recognition, and image de-identification.
Domain-Specific NLP Libraries
Specialized natural language processing libraries for healthcare, finance, and legal domains with domain-specific models, entity recognition, sentiment analysis, clause classification, and de-identification capabilities.
Scalable NLP Framework
Production-grade, scalable, and trainable NLP library supporting unlimited documents, models, and pipelines with parallel processing capability limited by the number of floating licenses selected.
Document Structure Analysis
Breaks documents into constituent parts and identifies structural elements including headers, tables, and body text
Vision Transformer Technology
Utilizes next-generation vision transformer models for extraction from images, PDFs, and tables
Multi-Format Data Ingestion
Ingests and preprocesses complex natural language data from any document type and file layout
Vector Database and LLM Integration
Compatible with any embedding model, vector database, and LLM framework with API client libraries in multiple languages including Python and Javascript
Adaptive Preprocessing Strategies
Provides diverse preprocessing strategies tailored to different document types with enhanced models for table extraction, document hierarchy, and element classification
Data Ingestion and Integration
Ingestion of clinical and claims data, ADTs, social determinants of health, pharmacy data from multiple source systems including EHRs and HL7 formats into a unified enterprise data asset
Data Quality Monitoring
Automated data quality monitoring that detects anomalies in volume or quality and alerts support teams for proactive issue resolution
Data Normalization and Deduplication
Proprietary Master Patient Index (MPI) for member matching, data deduplication, and normalization to a common dataset with Natural Language Processing engine for unstructured data processing
Predictive Analytics Engine
Training dictionary-powered predictive analytics and next best-action algorithms for identifying patients most impacted by value-based care programs
Compliance and Security Certification
HITRUST CSF certification and HIPAA compliance for healthcare data handling and storage
Standard contract
No
Customer reviews
Noorain Fatima
AI medical assistant has transformed clinical reports and now speeds up patient data analysis
Reviewed on Apr 11, 2026
Review from a verified AWS customer
What is our primary use case?
John Snow Labs is a set of AI software tools and platform mainly for healthcare and life science. I use John Snow Labs for medical purposes, including a medical chatbot that is used for medical queries and analyzing clinical reports.
I use the medical chatbot from John Snow Labs to conduct medical queries, ask patients about any concerns they have, and to extract diseases or symptoms. The chatbot will convert text into structured data.
John Snow Labs can be explored in many ways, including life science, bioinformatics, and genomics. It is also used for drug discovery and research to analyze research papers.
The chatbot from John Snow Labs will extract diseases; if patients have any kind of diabetes, fever, or symptoms, it can analyze them with the help of that tool, making it very beneficial to use that chatbot.
John Snow Labs is a set of AI software tools that is very helpful for healthcare and life sciences. In the future, it will assist in bioinformatics and genomics to detect diseases or genes, identify biomarkers, and help in drug development and discovery.
What is most valuable?
The best feature of John Snow Labs is the medical chatbot, which allows me to ask for queries, medical queries, and medical terminology. I also use it for clinical reports to generate and convert text into structured data. I can easily generate clinical reports and lab reports.
Regarding the medical chatbot feature of John Snow Labs, if I input short text, it will convert it into structured data, generating a complete clinical report, which is very beneficial.
John Snow Labs has positively impacted my organization because there have been many changes since I started using it. The workload is almost very less, and even for the employer, there is less chance to do any work. It is also helpful to get results easily and quickly. Whatever report will be generated takes very less time, and for patients, it is very beneficial to get the report earlier.
What needs improvement?
John Snow Labs is working on different algorithms and technical parts, so improvement is required so that the technical aspects will be less, and the algorithms will be easier to understand. It is very difficult for beginners, thus requiring improvement. Moreover, if there is a predominance of Western data, it would be better if it supports Indian data also.
The user interface of John Snow Labs' software is a bit difficult for beginners to work with. Additionally, more Western data are available compared to India's data, so it would be better to support more Indian data.
For how long have I used the solution?
I have been using John Snow Labs for the last six months.
What do I think about the stability of the solution?
John Snow Labs is stable because it is designed for large-scale processing and has a good accuracy rate. It is also a faster process.
What do I think about the scalability of the solution?
The scalability of John Snow Labs is good because it handles large data and is useful for many users, capable of providing millions of records and data.
How are customer service and support?
Customer support for John Snow Labs is very good because via email and phone, I can easily ask questions. If any kind of technical issues arise, I can reach out easily and inquire about product-related questions also.
How was the initial setup?
It takes almost 30 minutes to generate any kind of report with John Snow Labs. It helps in queries also to ask if any patients have any kind of doubt or questions in their mind; they can ask quickly also, making it less time-consuming.
What was our ROI?
I have seen a return on investment with John Snow Labs because it saves time. The employer is not overwhelmed with work, and they have a lot of time to undertake other tasks. It is indeed a time-saving software that is not time-consuming.
What's my experience with pricing, setup cost, and licensing?
The pricing for John Snow Labs is a little bit high, and the licensing procedure is long, so it really requires time to set up.
What other advice do I have?
I advise others to use John Snow Labs because it is a time-saving software that allows for easy identification and analysis of medical data, clinical reports, and generation of lab reports, along with assistance for research paper analysis. I rate John Snow Labs at eight out of 10 because some improvements are still required, particularly in the technical work that needs to be focused on.
Ashpreet S.
Must try Annotating Tool
Reviewed on Nov 25, 2023
Review provided by G2
What do you like best about the product?
It is very user friendly and easy to understand in camparison to other competetive products.
What do you dislike about the product?
As my use case I did like all the features.
What problems is the product solving and how is that benefiting you?
I am using this as an Annotating Tool for image datasets
Eric L.
Great annotation tool
Reviewed on Oct 06, 2022
Review provided by G2
What do you like best about the product?
It makes the annotation process very simple and efficient. Easy to use. Easy to manage the work.
What do you dislike about the product?
The review process is a little buggy and non-intuitive. That part of the workflow should be improved.
What problems is the product solving and how is that benefiting you?
It solves the problem of establishing ground truth when training or testing a model.