About

OpenMed is an open-source platform dedicated to bringing true offline intelligence to the healthcare sector. The latest version, 1.5.5, further strengthens privacy protection and multilingual support, ensuring that all clinical AI inference runs entirely on-device and that data never leaves the user’s terminal. Built on the Apache-2.0 license with a fully open stack, OpenMed covers the complete pipeline from model training to local deployment, offering healthcare institutions, researchers, and developers a secure, transparent, and customizable medical AI solution.

Key Features

**Multilingual Privacy Filter: ** Built-in dedicated PII (Personally Identifiable Information) MLX models for Arabic, Japanese, Turkish, and other languages, automatically detecting and de-identifying sensitive data.

**Unified Privacy Routing: ** Supports both PyTorch and MLX frameworks, intelligently scheduling inference tasks to ensure models run efficiently on local hardware.

**Faker Anonymization Engine: ** Integrates an advanced fake-data generation tool that replaces privacy fields in real patient records with realistic but entirely fictional information, ideal for development and testing.

**1,000+ Open-Source Medical LLM Library: ** Covers use cases such as clinical summarization, diagnostic assistance, and drug interaction checks, with all models optimized for smooth offline operation.

**Swift-Native OpenMedKit: ** Provides a native SDK for iOS and macOS developers, enabling rapid integration of medical AI capabilities into mobile or desktop applications.

Pricing & Fees

Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans. The site states the core package is "free forever" under an Apache-2.0 license with nothing to sign.
Free tier / open source: Fully open source under Apache-2.0, including 2,200+ open models; installation requires no API key, account, or data-processing agreement.
Plan limits: No subscription tiers are described; the same local installation runs on laptop CPU, Apple Silicon, or GPU server, with 0 bytes leaving the device.
Platform availability: Installable via pip/PyPI (18.3M installs), with REST and gRPC service support and MLX acceleration on Apple Silicon.
Billing quirks: The project contrasts itself with per-server subscription licensing for clinical NLP; no paid plans are mentioned on the site.

Who It's For

OpenMed is designed for healthcare institutions and IT teams looking to build localized, compliant clinical decision-support systems while minimizing data-exfiltration risks. It also serves medical AI researchers who want to fine-tune models on real de-identified data or run comparative experiments using the 1,000+ open-source LLMs. Mobile health app developers can use OpenMedKit to quickly integrate offline medical record analysis and symptom checking into iOS apps, and privacy compliance officers will find it a valuable, auditable, and verifiable anonymization solution for protecting patient data.

About

Key Features

Pricing & Fees

Who It's For

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