Building an AI-Powered Photo to Video App: Technical Insights

Introduction
Hi everyone! 👋 I'm Aykut, and I recently built Visionary, an AI-powered iOS app that transforms static photos into dynamic videos.

I wanted to share some insights into the tech stack and challenges we faced while building a generative AI product for mobile.

The Tech Stack
Mobile: Native iOS (Swift & SwiftUI)
Backend: Node.js
Cloud: Firebase (Auth, Firestore, Storage)
AI Engine: Custom diffusion pipeline for image-to-video generation
Key Technical Challenges

1. Handling Heavy AI Inference
   The biggest hurdle was latency. Generating video from an image is computationally expensive. We solved this by optimizing our cloud architecture to handle queues efficiently, ensuring users don't wait too long for their results.

2. Video Streaming to Mobile
   Once the AI generates the video, delivering it smoothly to the iOS client required efficient HLS streaming implementation to ensure playback starts immediately, even on slower connections.

The Result
The app is now live and users are creating amazing animations from their old photos. It's fascinating to see how AI can breathe life into static memories.

Try It Out
If you're interested in AI video tech or just want to animate your photos, check it out here: 👉 https://visionaryvideo.app

Let me know if you have questions about the development process! happy to answer.