AI Analyzer 2.0 Available Now

Unlock your
Health DNA.

Your Apple Health data is a goldmine of insights. Extract it instantly in JSON, CSV, or XML. Private. Fast. AI-Ready.

Download on App Store
iOS 18+ Compatible
282 Stars on GitHub

Export Data

Select format to begin

CSV
JSON
XML
Active Energy
2,430 records
Heart Rate
15,201 records
Sleep Analysis
365 records
{"type": "HKQuantityTypeIdentifierHeartRate",
"startDate": "2023-10-24T08:00:00Z",
"value": 72,
"unit": "count/min"},
{"type": "HKQuantityTypeIdentifierStepCount",
"startDate": "2023-10-24T08:05:00Z",
"value": 145,
"unit": "count"},
...
Export 45MB File

See the Mac App in Action

Sync to Mac for
Local AI Analysis.

A Python tool that transforms Apple Health export data into insightful visualizations and analytics, with AI-powered analysis. Easily track your fitness journey with detailed analysis of steps, workouts, heart rate, sleep, and more. Features specialized support for WHOOP workout data and ChatGPT integration for personalized insights.

iPhone App
Mac App

Built for the
Quantified Self.

Most health apps lock your data away. We give you the keys. Designed for privacy, speed, and interoperability.

Universal Formats

Don't get stuck in a proprietary garden. Export to standards that work with Python, Excel, Tableau, and more.

// JSON Output
{ "heart_rate": 64, "unit": "bpm" }

Zero Cloud.

Your health data never leaves your device. All processing happens locally on your iPhone.

No Account Required
Works Offline
FaceID Protected

Precision History

Export the last 7 days or your entire lifetime history. Granular control over date ranges.

AirDrop Ready

Beam massive datasets directly to your Mac for analysis instantly. No email limits.

AI Analyzer

Clean, structured data ready for LLMs and custom analysis tools.

Speak the language of data.

Whether you are a developer building a dashboard or a user creating a backup, our exports are formatted for immediate use.

CSV for Spreadsheets

Flattened structure. Columns for Type, Date, Value, Unit, and Source. Ready for Excel pivot tables.

JSON for Developers

Nested objects with full metadata. Ideal for Python pandas or JavaScript visualization libraries.

export_data.json 
"health_data": [
  {
    "type": "HKQuantityTypeIdentifierHeartRate",
    "source": "Apple Watch Ultra",
    "unit": "count/min",
    "samples": [
      {
        "date": "2025-01-24T08:30:00Z",
        "value": 72
      },
      {
        "date": "2025-01-24T08:35:00Z",
        "value": 78
      }
    ]
  }
]