Netflix & What Now
“Point your phone at the TV. Ask anything.”
AI companion for watching TV — capture your screen, identify any show in under 2 seconds, and ask contextual questions. Powered by Gemini vision, TMDB metadata, and voice input.
What It Does
AI Vision Show ID
Capture your TV screen with your phone camera and Gemini AI identifies the show in under 2 seconds — no manual searching needed.
Contextual Q&A
Ask anything about the show you are watching — plot details, cast, similar shows, trivia. Get answers powered by rich TMDB metadata.
Voice Input
Ask questions hands-free with voice input — choose between VocalBridge AI (premium) or the free browser-native Web Speech API.
TMDB Integration
Rich show data from The Movie Database — cast, seasons, ratings, similar shows, and more. All context fed into the AI for better answers.
Progressive Web App
Install directly to your home screen — works like a native app with offline support, fast loading, and a full-screen experience.
No Account Required
Bring your own free API keys (Gemini + TMDB). No sign-up, no subscription — your keys stay in your browser.
Use Cases
Channel Surfing
Land on something interesting mid-scene? Point your phone and instantly know what show it is, how many seasons there are, and if it is worth watching.
Watch Party Trivia
Settle debates with friends — ask the AI about plot details, actors, or behind-the-scenes facts while you watch.
Discovery
After identifying a show, ask for similar recommendations based on genre, tone, or cast. Find your next binge without leaving the couch.
Accessibility
Voice input means you can ask questions hands-free — great for when you are on the couch with snacks or just prefer talking over typing.
Built With
Netflix & What Now was born from a simple annoyance: flipping channels and landing on a show mid-scene with no idea what it is. Instead of fumbling with Google, I built an app where you just point your phone at the TV and ask. Gemini vision handles the identification, TMDB fills in the context, and the AI answers any follow-up question.
View the source code on GitHub →