V-Frame: Video to Photo

Quang Thu Nguyen · Photo & Video

Free

Independent analytics for this App Store listing. AppTracker is not affiliated with Quang Thu Nguyen.

Chart standing · US

Not currently charting in this storefront.

What changed · US

Listing changes AppTracker has observed for this app in this storefront — new versions, price moves, rating shifts, and store copy.

Oct 14, 2026
Availability Removed from the App Store
Sep 21, 2026
New version 1.1 → 1.2

- Improve application performance - Increase frame export speed - Improve the resolution/HD quality of exported images

In-app purchases · US

No in-app purchases.

Screenshots

About

V-Frame turns any video into stunning still photos — instantly. Whether you're a content creator hunting the perfect thumbnail, a photographer catching a fleeting moment, or just saving a frame from a memory — V-Frame makes it effortless. EXTRACT FRAMES - Pull crystal-clear stills from any video (MP4, MOV, AVI and more) - Choose exact time ranges — extract only what you need - Batch extract dozens of frames in seconds AI-POWERED DETECTION - Auto-detect faces, objects, text and scenes in every frame - OCR reads text directly from your frames - Smart labeling saves hours of manual sorting FRAME EDITOR - Fine-tune brightness, contrast and saturation - One-tap AI enhance for instant quality boost - Portrait blur, subject glow, background removal EXPORT & SHARE - Save directly to your photo library - Bundle multiple frames into a ZIP file - Share anywhere in seconds WORKS WITH - Your video library - Live camera capture - Any video length Built for speed: import a video, pick your frames, export — done in under 30 seconds. Download free and start extracting today.

What's new · 1.2

- Improve application performance - Increase frame export speed - Improve the resolution/HD quality of exported images

Details

ReleasedJul 2026
UpdatedJul 2026
Version1.2
Size157 MB
RequiresiOS 16.0 or later
Age rating4+
LanguagesEnglish
PriceFree
Categories Photo & VideoLifestyle
Bundle IDcom.vframe.extractor.video