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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 ge…

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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.

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