How Mobile Apps Use On-Device AI for Real-Time Object Removal

In this episode of Mobile Development with Fexingo, Lucas and Luna dive into the growing trend of on-device AI for real-time object removal in mobile apps. They explore how apps like Google Photos and Adobe Lightroom now allow users to erase unwanted people, power lines, or photobombers instantly without sending data to the cloud. Lucas explains the underlying technology—semantic segmentation and inpainting models running on Apple's Neural Engine and Qualcomm's AI Engine—and how it's changed the editing workflow for millions of users. Luna raises privacy concerns about implicit consent when strangers are removed from public photos, and Lucas shares a surprising stat: on-device object removal reduces latency by 80% compared to cloud-based alternatives, with zero data leaving the device. The hosts also discuss how this feature has become a deciding factor for users choosing between Google Photos and iCloud. A timely look at how edge AI is reshaping mobile photography in 2026. #OnDeviceAI #ObjectRemoval #MobilePhotography #GooglePhotos #AdobeLightroom #SemanticSegmentation #Inpainting #NeuralEngine #QualcommAI #EdgeAI #PrivacyFirst #RealTimeEditing #MachineLearning #iOSDevelopment #AndroidDevelopment #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo