CamCtrl vs Maple

Control your iPhone's camera remotely with seamless Garmin smartwatch integration. Whether you're hiking, biking, or capturing action shots, CamCtrl lets you trigger the shutter, adjust zoom, and fine-tune settings remotely to get the perfect shot. Perfect for group photos, solo adventures, content creators, and more! Key Features: - Remote Shutter Control: Trigger photos and start/stop video recording directly from your wrist - Live Preview on Watch: Shows color preview on your watch in real time when your phone is connected to internet - Offline Mode: Use locally without internet with previews in grayscale or highlights the people in frame - Remote Zoom: Adjust zoom from your watch to fine-tune composition without touching your phone - Settings at Your Wrist: Change camera modes, flash, timer, aspect ratio, and more – all from your watch - Photo & Video Modes: Full control over both photo and video capture - Photo Gallery: Quickly view the photos that you've taken without having to leave the app For more instructions on how to use it, visit https://mywatchphotos.com/camera_instructions. To purchase the companion Garmin smartwatch app, visit the Connect IQ store and search for "CamCtrl for iOS."

Maple is a professional, non-destructive RAW photo editor and library manager for photographers who want precise color and direct control of their files. Browse and cull a whole library, develop each frame in a scene-referred color pipeline, and export finished images without ever altering the original. Every adjustment is stored in an XMP sidecar, keeping edits reversible and portable. • Open popular RAW formats including CR2, CR3, NEF, ARW, DNG, RAF, ORF, RW2, PEF, SRW, and more • Organize with ratings, pick/reject flags, color labels, and keywords • Refine exposure, white balance, tone, HSL, color grading, curves, detail, lens corrections, crop, masks, and film looks • Work with local folders, Apple Photos, and network shares • Export JPEG, TIFF, or PNG in sRGB or Display P3 • Keep originals untouched with non-destructive XMP sidecars Maple is built around a shared image-processing core so your adjustments remain consistent across supported platforms.