# ShareHealth — Learn from Your Face & Health

> Facial feature and Apple Health data correlation analysis with on-device ML. (iPhone/iPad app by Eidogen-Sertanty, Inc..)

- Source: https://appshunter.io/ios/app/sharehealth/id6738940089 (this page in markdown: same URL + `.md`)
- Developer: [Eidogen-Sertanty, Inc.](https://appshunter.io/developer/348603132)
- Category: Health & Fitness, Lifestyle
- Price: Free
- Rating: 5.00/5 from 1 App Store ratings
- Age rating: 4+
- Requires: iOS 18.1 · 4 MB
- Languages: American English
- Released: 2024-12-03
- Data updated: 2026-06-01
- Monetization: free
- User reviews in markdown: https://appshunter.io/ios/app/sharehealth/id6738940089/reviews.md

## What is ShareHealth?

ShareHealth uses on-device ML to find correlations between facial features and Apple Health metrics.

  FACE TO HEALTH
  • Capture selfies paired with Apple Health data
  • Analyze 478 facial landmarks (MediaPipe)
  • Train prediction models on your own data
  • Choose Linear Regression or Random Forest
  • View feature correlations and cross-validation results

  100% on-device: your data stays on your iPhone unless you choose to share it.

  HEALTH DATA EXPORT
  • Export 100+ Apple Health metrics to CSV
  • Historical exports by date range
  • Organized year/month folders
  • Share exports with clinicians if you choose

  SHARE STEPS
  • Share daily step counts with friends
  • Import and compare step data
  • No accounts required

  PRIVACY-FIRST
  • ML runs locally on device
  • No cloud uploads or tracking
  • Delete data anytime

  Learn more:
  medium.com/@smuskal/ai-steve-deep-dive-9f8352bc544d
  drstevenmuskal.com/p/ai-steve-deep-dive

  Medical Disclaimer: ShareHealth is for informational and educational purposes
  only and is not a substitute for professional medical advice, diagnosis, or
  treatment. Always seek advice from a physician or qualified healthcare
  provider before making medical decisions. If you think you have a medical
  emergency, call 911 immediately.

## Key features

- Facial landmark analysis
- Apple Health data integration
- On-device machine learning
- Health metrics export to CSV
- Step count sharing
- Privacy-focused local processing


## Frequently asked questions about ShareHealth

### What is ShareHealth?

ShareHealth is a health and fitness app that uses on-device machine learning to find correlations between facial features and Apple Health metrics. It allows users to capture selfies paired with health data, analyze facial landmarks, and export health metrics.

### How does ShareHealth analyze facial features?

ShareHealth analyzes 478 facial landmarks using MediaPipe technology. It then trains prediction models on your own data, allowing you to choose between Linear Regression or Random Forest algorithms to view feature correlations.

### Is my data safe with ShareHealth?

Yes, ShareHealth is privacy-first. All machine learning runs locally on your device, meaning your data stays on your iPhone unless you choose to share it. There are no cloud uploads or tracking, and you can delete your data anytime.

### Can I export my health data from ShareHealth?

Yes, ShareHealth allows you to export over 100 Apple Health metrics to CSV. You can perform historical exports by date range, and the data is organized into year/month folders for easy access and sharing with clinicians.

### Does ShareHealth have ads?

No, ShareHealth does not contain advertisements. It is a completely ad-free application.

### What devices does ShareHealth support?

ShareHealth is currently supported on iPhone devices. It is designed to integrate with Apple Health metrics available on these devices.

### How often is ShareHealth updated?

The latest version of ShareHealth is 5.0, last updated on February 15, 2026. This indicates a recent update, suggesting ongoing development and support for the application.

### What is the age rating for ShareHealth?

ShareHealth has an age rating of 4+. This means it is suitable for users aged four and older, making it accessible for a wide range of individuals interested in health and fitness data analysis.

## Version history (last 5 releases)

### 5.0 — 2026-02-15

MAJOR UPDATE: Face to Health                                                      
                     
  - Added first-launch medical disclaimer before health features are used.
  - Added in-app medical sources/citations links for health insights.
  - Improved review compliance and reliability                                                               
  • NEW: Face to Health — predict health metrics from facial analysis using         
  on-device AI                                                                      
  • NEW: MediaPipe integration for precise 478-point facial landmark detection      
  • NEW: Personal ML model training with leave-one-out cross-validation             
  • NEW: Face History view to track your captures over time                         
  • NEW: Import face captures from folders with automatic metrics calculation       
  • NEW: Sleep Score calculation from Apple Health data  
  • NEW: Random Forest models — capture non-linear face-to-health patterns          
    that linear regression might miss                                               
  • NEW: Model type selector — switch between Linear Regression and Random          
    Forest with one tap; your preference saves automatically                        
  • NEW: Enhanced feature importance — see which of 24 facial features              
    matter most for each health prediction                                          
  • IMPROVED: Model snapshots now preserve your chosen algorithm                    
  • IMPROVED: Cross-validation analysis with clearer R correlation, MAE,            
    and RMSE metrics                               
  • IMPROVED: Health data export with richer formatting                             
  • IMPROVED: Streamlined onboarding experience                                     
  • FIXED: Various stability and performance improvements

  Why two algorithms? Linear Regression excels at clear, interpretable            
  correlations. Random Forest (50 decision trees) can detect threshold              
  effects and complex interactions between facial features. Try both to             
  see which works better for your unique physiology.                                
                                                                                    
  All processing remains 100% on-device.

### 3.2 — 2026-02-05

• NEW: Export historical health data in batch for any date range              
• Face photos now included when sharing via text or email                     
• Improved app stability and performance

### 3.1 — 2026-02-03

• NEW: Export all Apple Health data to CSV                                    
  • NEW: Add your face photo to exports for easy identification                 
  • Export 100+ metrics: sleep, heart rate, activity, nutrition, and more       
  • Save directly to Dropbox, iCloud, or any folder                             
  • Set a default export location for one-tap saving                            
  • Improved sleep data accuracy                                                
  • Renamed from ShareSteps to ShareHealth

### 2.0 — 2024-12-05

Stability and bug fixes with sharesteps link. Added appstore download link to the messaging so recipient can download the app and receive the steps data.

### 1.0 — 2024-12-03

No release notes.

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## More apps by Eidogen-Sertanty, Inc.

- [Food Health Scan](https://appshunter.io/ios/app/food-health-scan/id6759629101)
- [Food Health TxD](https://appshunter.io/ios/app/food-health-txd/id6766341399)

All apps by Eidogen-Sertanty, Inc.: https://appshunter.io/developer/348603132

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*Data collected daily from the US App Store and indexed by [AppsHunter](https://appshunter.io/). User reviews are verbatim App Store reviews. Ratings, prices and chart positions refresh continuously; this snapshot is from 2026-06-01.*
