We're making some changes to the Google Fit APIs. Learn about how these changes might affect your app. Read our new policy.
Google Fit provides Android and REST APIs to help developers build smarter health and wellness apps. Google Fit APIs can help you discover new insights users want to share with you. Use these insights to build valuable new features to help people train harder, eat healthier, stay calmer, and sleep better.
Code less, connect more. You can use the Google Fit APIs to connect with hundreds of other apps while managing a single integration. With user permission, share information with leading health and wellness apps.
Tap into new audiences through wearables. Use the Google Fit APIs to start building Wear OS apps and create experiences for smart watches. Work through our codelab or get started immediately with our app template.
Security and privacy of health data is at the core of the Google Fit APIs and our robust cloud-based data platform. Benefit from the verification needed to build with Google APIs to show users your app is committed to protecting the information they choose to share with it.
Users need to be able to accurately track their progress, to know when they’ve hit their goals. By writing data to our platform, your app can be a source of valuable progress data. Help users track their Steps and Heart Point progress using our Goals Client.
  • Build better apps for smart devices with our APIs. Help users see and sync data across devices like smart scales, chest straps, or blood pressure monitors.
Don’t be limited to only what users enter into your app. Learn what your users are tracking to help them guide them to hit their goals faster.
  • Discover sensor data, like heart rate, with our Sensors Client for Android to power innovative, new features. Users can also share other data like their steps, workouts and information calculated from their Google Fit profile (like calories burned) with your app, even when it isn’t running.
  • Learn about your audience’s goals and habits to provide personalised coaching. If you’re a food tracking app, discover activity levels to more accurately recommend how many calories to consume. If your app offers mood tracking, discover sleep sessions to show users how sleep habits affect their mood.