Sniprr | AI Video Analysis App With Viral Score, Actionable Feedback and Subscriptions - SwiftUI

Sniprr is a complete, ready-to-publish SwiftUI template for an AI-powered video analysis app. Creators import a short-form video (TikTok, Reels, YouTube Shorts style) and get a Viral Score with hook, retention and engagement breakdowns, actionable feedback, on-screen hook ideas and follow-up content ideas – all wrapped in a polished dark neon UI with animated gradients, animated score gauges and confetti celebrations.Demo InstructionsSniprr No login and no demo credentials are required to try the app. The onboarding flow can be completed in a few taps and the sign-in screen offers a “Skip for now” option – the app runs locally without any account. The four demo videos on the dashboard ship inside the bundle, so the dashboard, detail screen and stats look fully populated out of the box. AI analysis of your own videos uses the Google Gemini API. You need a free Gemini API key (from Google AI Studio) and paste it into one clearly marked constant in AnalyzeViewModel.swift. The documentation shows the exact file and line.Cloud sync, Google Sign-In and the server-side analysis pipeline are optional extras. The app builds and runs without them; the documentation has step-by-step configuration sections for Supabase, Google Sign-In, Sign in with Apple and StoreKit products. The optional gemini-proxy Edge Function is deployed by you to your own Supabase project (full source included, deployment steps in documentation.html section 8.2.1) – the app does not depend on any third-party server.Everything the App Does+Sniprr Animated 5-step onboarding: welcome screen, platform / goal / content-type questions, animated Viral Score gauge reveal, demo analysis screen with confetti, completion screen +Sniprr Sign in with Apple, Google Sign-In, email sign-in and an anonymous fallback session (Supabase auth) + Sniprr Dashboard with three animated stat gauges: Videos Analyzed, Posting Streak and Creator Health + Video grid with thumbnails, viral score badges, estimated view ranges, long-press rename and delete + Empty state with call to action when no videos have been analyzed yet+ Analyze tab: pick a video from the photo library, see a thumbnail preview and start the analysis + On-device analysis pipeline: frame extraction, scene cut detection, face detection, motion analysis, speech transcription (Speech framework) and music recognition (ShazamKit) + AI feedback layer via Google Gemini: overall viral score plus hook, retention and engagement subscores, summary, strengths, improvements and a Quick Win + Estimated view range prediction for each analyzed video+ Detail screen with video player, Analysis and Ideas tabs, section-by-section feedback cards, on-screen hook suggestions, topic ideas with reach estimates and follow-up content ideas + Copy to clipboard and share sheet export of the full analysis + Re-analyze an existing video from the detail screen + Paywall with StoreKit 2 subscriptions (weekly, monthly, yearly) and a 3-day free trial presentation + Local notification trial reminder, plus notification permission handling+ Profile tab: account settings, subscription management, help and support email, Terms of Service and Privacy Policy screens, sign out + Demo mode with four bundled demo videos and a debug “Populate Demo / Clear All” toggle + Dark neon theme with an animated multi-blob gradient background, animated score gauges, pulsing CTA, staggered slide-in animations and confettiTechnology+ SwiftUI, iOS 17.0+ deployment target, Xcode 26.x + StoreKit 2 subscriptions and transaction listener + AVFoundation, Vision, Speech, ShazamKit, CoreImage for the on-device analysis pipeline + UserNotifications for trial reminders + Supabase (auth + database sync) and Google Sign-In SDK – both optional, gracefully degrade offline + Optional Python FastAPI backend (Railway-ready Dockerfile included) for a server-side Gemini pipeline + Supabase SQL schema and edge function folder included + No CocoaPods; Swift Package Manager only