John Snow Labs Alternative

John Snow Labs vs Protecto

Choose the de-identification solution designed for AI-powered healthcare.

Protecto outperforms John Snow Labs with high-accuracy, scalable PHI masking. Built for AI and LLMs, it ensures privacy without compromising accuracy.

De-Identification in Healthcare AI

Why Choose Protecto Over John Snow Labs?

De-identification tools like John Snow Labs lack context-aware masking and scalability to handle variety of unstructured text. Protecto is built for large-scale AI and LLM applications, making it best choice for modern healthcare organizations.

HIGHLIGHTS

Superior Accuracy – Customers report that Protecto delivers far more accurate de-identification right out of the box.
Enhanced Data Utility – Protecto’s advanced intelligent masking preserves critical clinical context, ensuring higher AI accuracy.
Enterprise-Ready Features – Auto-scaling, multi-tenancy, RBAC, batch processing, and bulk volume APIs for seamless scaling.
Effortless Integration – High-accuracy masking via Protecto APIs, requiring no custom coding—deploy in minutes and see instant value.

Comparison

John Snow Labs vs. Protecto

A side-by-side comparison of essential features for AI-driven healthcare de-identification.

Feature	Protecto	John Snow Labs
PHI/PII Identification Accuracy	Best-in-class AI models with high precision & recall	AI models (lower recall than Protecto)
Data Masking & Tokenization	Intelligent tokenization, format-preserving and context-aware	Static masking
Easy Integration	Simple API-based integration, minutes to integrate	Needs custom coding
Policy Based Masking	✅ YES	❌ NO
Compliance Support	GDPR, HIPAA, CCPA, DPDP Act	Primarily HIPAA-focused
Custom Filtering	✅ YES	❌ NO
Toxic Content Filtering (Ensures AI-generatedresponses are safe)	✅ YES	❌ NO
Multi-Tenancy Support (multi-project support)	✅ YES	❌ NO
Real-Time API for AI Prompts/Responses	✅ YES	❌ NO
Batch Processing API	APIs for large volume, Built-in Queue	❌ NO
Deployment Options	Available for SaaS, On-Premises, Private Cloud	On-premises
Role based access (for masking, unmasking)	✅ YES	❌ NO
Cost Efficiency	Lower infrastructure & maintenance costs	Higher costs for on-prem setup
Audit Capabilities	✅ YES	N/A

Note: The above table is based on publicly available data as of March 2025. If any information is incorrect, please contact us at marketing@protecto.ai

Case Study

Protecting PHI in Unstructured Medical Text

A detailed case study on how Protecto outperforms traditional PHI de-identification tools in accuracy, data integrity, and ease of deployment.

Our case study highlights:

99+% Accuracy: Precise PHI masking without text distortion.
Data Integrity: Retains clinical context for AI and analytics.
Fast & Easy: Deploys in hours—no coding needed.
HIPAA-Compliant Insights: Secure, high-quality de-identified data

Built for Enterprise. Optimized for Scale.

On-Premises or SaaS

Deploy Protecto on your servers or consume it as SaaS. Either way, get the full benefits including multitenancy.

Simple APIs

Use sync and async APIs to integrate with any part: preprocessing, context data, prompt, or response.

Auto-scale

Protecto's architecture scales to process billions of rows or runs lightweight on-edge devices, offering versatility and efficiency.

Trusted by Industry Leaders

See why businesses rely on Protecto for secure, AI-ready PHI de-identification in healthcare.

"Protecto delivered superior PII identification right out of the box—far surpassing other solutions like John Snow Labs. It not only ensured our HIPAA compliance but also preserved the integrity of our data for accurate AI-driven insights."

Inovalon

Ready to Elevate Your Data Privacy?

Protecto delivers AI-ready, high-accuracy PHI de-identification while ensuring compliance with HIPAA, GDPR, and CCPA