CarbCam is a photo-based app for carb estimation for people with diabetes — focused on accuracy, privacy, and a clear, fast workflow for everyday use.

The app is available on iOS and Android and is functionally identical across both stores. The shared core is written as a Kotlin Multiplatform Module, while the UI is native (SwiftUI on iOS, Jetpack Compose on Android).

CarbCam was born from the 10be ecosystem — originally to complement the hosting for Nightscout on ns.10be.de with a user-friendly photo tool.

Estimating carbohydrates at the dinner table is one of the most frequently repeated micro-tasks in daily diabetes management. One camera, one tap, one well-founded estimate — that is the idea.

CarbCam uses these libraries — many thanks to the maintainers:

iOS-specific

• TOCropViewController MIT — Image cropping
• Apple Vision — Barcode detection & local image analysis

Android-specific

• Jetpack Compose Apache 2.0 — UI toolkit
• Room Apache 2.0 — Local DB
• Google Maps Compose Apache 2.0 — Maps & Location
• Coil Apache 2.0 — Image loading
• Retrofit / OkHttp Apache 2.0 — HTTP (Square)
• ML Kit Barcode Apache 2.0 — Barcode scanner (Google)

Shared (Kotlin Multiplatform)

• Kotlin & Coroutines Apache 2.0 — JetBrains
• Ktor Apache 2.0 — HTTP for KMP
• kotlinx.serialization Apache 2.0
• kotlinx.datetime Apache 2.0

Build & Tooling

• XcodeGen MIT — iOS project generation
• Gradle — Build

Full license details per library are available in the app under Settings → Open-Source Libraries.

CarbCam uses the following external data sources to validate AI estimates:

• Terms of Use
• Privacy Policy
• Imprint
• Medical Disclaimer