QuickPose

QuickPose is a mobile SDK for adding AI-powered pose estimation to iOS and Android apps. It provides pre-built features such as rep counters, form feedback, range of motion analysis, and yoga pose detection, all processing fully on-device with no cloud dependency. The SDK is built on MediaPipe and integrates via Swift Package Manager or Gradle, with full documentation and sample projects. QuickPose targets fitness, yoga, sports biomechanics, and health/rehabilitation use cases, and has powered over 2 million sessions across 500+ apps.

Key Features

• On-device processing: No video leaves the app, no network round-trips, GDPR compliant by architecture.
• Pre-built features: Automated rep counting, real-time form feedback, exercise detection, yoga pose scoring, joint angle analysis, and range of motion assessments.
• Fast integration: Average integration time of 2 hours, installable via Swift Package Manager or Gradle.
• Open-source foundations: Powered by MediaPipe, avoiding vendor lock-in.
• Retention and revenue: Real-time feedback drives user engagement and supports premium upsells.

Who It’s For

Mobile app developers building fitness, yoga, sports performance, health, or rehabilitation applications without requiring ML expertise.

Key Benefits

• Fully on-device processing ensures privacy and low latency.
• Pre-built features reduce development time from months to hours.
• Integrates in about 2 hours with Swift Package Manager or Gradle.
• Built on open-source MediaPipe, avoiding vendor lock-in.