Transform your media in two clicks.

Convert, compress, crop, cut, extract audio, remove backgrounds, remove objects from images, split audio stems, smooth motion with RIFE and more — straight from the Windows right-click menu. 100% local. 100% offline. No upload, ever.

Download View on GitHub

Windows-first
Runs locally
Powered by FFmpeg

Why FrameShift?

Two clicks. That's it.

Right-click a file, pick an action, you're done. No app to open, no import, no export. The workflow disappears so you can focus on the file.

Everything stays on your machine.

No cloud, no upload, no telemetry. Your photos, videos and audio files never leave your disk. Works the same with or without an internet connection.

Built on FFmpeg.

The open-source reference for audio and video, natively integrated. Reliable, fast, and battle-tested — no proprietary black box.

Built for quick corrections.

Need to crop, trim, rotate, resize, or extract something fast? FrameShift is designed for small, repeated media fixes that should take seconds, not minutes.

No messy outputs.

Results stay next to the original file with safe unique naming. You keep your source, avoid accidental overwrites, and stay in control of every version.

Local AI, when it helps.

Use AI features like background removal, denoising, and audio separation locally on your machine. No upload, no subscription wall, no sending private files to a remote service.

See it in action

Before

After

AI · runs locally

Remove Object

Paint over any object with a brush, click Apply — the AI reconstructs the background behind it. No upload, no cloud. Runs entirely on your machine with LaMa inpainting via ONNX Runtime.

AI · runs locally

Remove Background

Cut out subjects from your images with a single click. No subscription, no upload — the model runs on your GPU through ONNX Runtime + DirectML.

Image to PDF

Select your images, choose the action, get a clean PDF ready to share. Order, page size and orientation handled for you.

AI · runs locally

Interpolate Video (RIFE)

Generate smoother motion with the local RIFE workflow, model preflight, and ONNX Runtime DirectML acceleration when available.

Local AI is now part of FrameShift.

Six AI actions now run locally inside FrameShift through ONNX Runtime. Remove Object uses LaMa inpainting — paint a mask over any object and the AI fills it in. Remove Background uses BiRefNet Lite. Remove Noise (Audio and Video) uses DeepFilterNet3 exports for offline speech denoising. Audio Separation is powered by HTDemucs exports with CPU and DirectML GPU support. Interpolate Video (RIFE) uses a local interpolation model with shared preflight and downloader flow. More local AI modules are planned for future versions, and they will follow the same rule: always local, never in the cloud.