How I Built an AI-Powered Reel & Short Maker in Swift: Handling Auto-Cutouts & Beat-Syncing Efficiently
Hey DEV community! 👋 As an indie iOS developer, I’ve always been fascinated by short-form video algorithms and how visual retention works. Over the past few months, I noticed a major friction point for creators: creating high-retention video hooks (like stop-motion cutouts and precise beat-synced cuts) takes way too long in traditional editors. To solve this, I built Reeliva — an iOS application…
In the article "How I Built an AI-Powered Reel & Short Maker in Swift: Handling Auto-Cutouts & Beat-Syncing Efficiently" on Dev.to, an indie iOS developer shares their experience in creating Reeliva, an iOS application designed to automate visual cutout effects, seamless looping, and audio-to-video syncing. The developer highlights three technical challenges they faced and how they tackled them using Swift and various frameworks.
The first challenge was real-time auto-cutout and layering, which they addressed by leveraging the Vision framework combined with Core Image performance shaders. The second challenge was precise audio beat-syncing, which they solved by parsing audio transient data to automatically map template transitions to the strongest beats of trending sounds.
Finally, the developer discusses the key takeaways and their current tech stack, including UI framework choices, core video processing, and the MVVM-C architecture. The article concludes with a promotion of the app and an offer for free 1-month Pro access to the DEV community.
Brief written by urgent.news from Dev.to's own syndicated text. Machine-written — may contain errors; check the original before relying on it.
