Everything you need to reframe video for social media, from batch export workflows and podcast clipping to face tracking tips and platform-specific best practices.
Landscape footage doesn't work on mobile feeds. Learn how AI face tracking converts 16:9 clips into vertical content that keeps the subject centered, without manual keyframing.
Your footage never leaves your machine. Here's why offline-first editing is faster, safer, and more reliable than uploading to a server.
Use speaker detection and the timeline editor to isolate individual speakers, then export per-person reels ready for social.
TikTok, Instagram Reels, YouTube Shorts, LinkedIn: each feed has an ideal frame. A quick reference for every format.
Drop a video in, select your ratios, and let FaceStabilizer render them all at once. Here's how to set up the fastest multi-format workflow.
Auto-tracking follows the most prominent face. Face lock pins to a specific person. Learn when each approach gives better results.
Mobile-first content outperforms landscape on every platform. The data behind why reframing your existing footage pays off.
FaceStabilizer's transcription engine generates captions synced to every word. Burn them in during export for scroll-stopping clips.
Three tracking behaviors for different content types. A quick breakdown of when to use each one for talking heads, vlogs, and action shots.
Podcast Mode, 4K export, improved face tracking, and a refreshed timeline editor. A rundown of everything in the latest release.
