How it works

Pick a model tier

People clips run Robust Video Matting — a recurrent network that carries memory between frames, so edges stay stable instead of flickering. Any-subject clips use per-frame ORMBG (Fast) or BiRefNet (Best) with temporal smoothing.

On-device frame processing

Frames are decoded in order and processed at up to 1280px in a worker — WebGPU where available, WebAssembly otherwise. Clips are capped at 60 seconds so processing finishes reliably; nothing is uploaded.

Real-alpha encode

ffmpeg.wasm assembles a genuinely transparent WebM (real alpha plane) or a composited H.264 MP4 with your chosen background — original audio kept either way.

Import and decode

Your video is decoded in the browser. You can continue from a background-removed WebM or start with any raw footage.

Edit: filters, text, trim

Apply LUT colour presets at adjustable intensity, add text overlays with font and position control, and trim start/end points on the timeline. All edits are non-destructive while the editor is open.

Export

The edited video is re-encoded and downloaded. Output is MP4 or WebM depending on input and browser capabilities.

Model selection

Choose AI mode (Swin2SR — true detail synthesis) or Instant mode (Lanczos + unsharp mask — fast geometric upscale). AI mode produces better detail on photos and faces.

Tile-based processing

For AI mode, the image is divided into overlapping tiles. Each tile runs through the neural network independently and the results are assembled with seamless blending at boundaries.

Export

The upscaled image is exported at 2× or 4× the input resolution (capped at 4096 px per side). PNG output preserves all detail without lossy compression.

Queue upload

Upload up to 100 images. They are queued and processed one at a time using the same AI model as single-image removal.

Sequential processing

Each image runs through the full pipeline: inference → Float32 mask → edge decontamination → straight alpha export. Failed items can be retried individually.

ZIP download

When all images are processed, download a ZIP containing all results in your chosen format (PNG, WebP, or AVIF).

GIF decode and routing

The animated GIF is decoded into frames locally, keeping frame timing. Solid-colour backgrounds use an instant colour-key path; everything else runs the same Fast/Best AI models as still images, with temporal smoothing between frames.

Honest 1-bit alpha

GIF pixels are either fully transparent or fully opaque, so soft edges are dithered and pre-composited against a matte colour to avoid halos, with an adjustable edge cutoff.

Export as GIF or APNG

Re-encode as GIF (maximum compatibility) or APNG (full 8-bit soft-edge alpha, plays in all modern browsers). Frame timing from the original is maintained.

LUT application

A Look-Up Table (LUT) maps every input RGB triplet to an output RGB triplet in a single pass over all pixels. The table is applied using WebGL or Canvas 2D depending on browser support.

Intensity blend

The filtered result is blended with the original using linear interpolation at the chosen intensity (0–100%). At 50%, you get a 50/50 mix of filtered and original.

Export

The final image is exported at full input resolution as PNG or JPEG.

Format detection

The browser checks which output formats its MediaRecorder supports. Unsupported options are greyed out automatically.

Real-time transcode

Your video plays to a canvas. A MediaRecorder captures the canvas stream and encodes it in the target format using the browser's native codec.

Export

The encoded file is assembled from chunks and offered as a download in the target container format.

Quality preset selection

Choose from High (4 Mbps), Medium (1.5 Mbps), Low (600 Kbps), or Very Low (200 Kbps) target bitrate.

VP9 re-encode

Your video plays to a canvas captured by a MediaRecorder set to the VP9 codec at the target bitrate. The video plays in real time as it encodes.

Export

The compressed WebM file is offered for download. File size depends on content complexity — talking head footage compresses more than fast-moving action.

Target resolution

Select a preset (4K, 1080p, 720p, 480p, 360p, 240p) or enter custom width and height. Aspect ratio can be maintained or overridden.

Scaled canvas encode

The video plays to a canvas sized at the target resolution. The browser scales each frame using bilinear interpolation as it encodes.

Export

The resized WebM file is offered for download at the specified dimensions.

Aspect ratio calculation

Given your source video dimensions and the target ratio, the tool calculates the minimum canvas size that fits the video and achieves the target ratio.

Padded canvas encode

The video plays centered on a larger canvas filled with the chosen padding color. A MediaRecorder captures the full canvas including the padding.

Export

The padded WebM is offered for download. The video content is preserved at its original resolution — only the canvas is larger.

Rotation transform

The target canvas dimensions are computed by swapping width and height for 90°/270° rotations, or keeping them for 180°.

Per-frame transform

Each frame is drawn to the rotated canvas using a CSS transform (rotate). The canvas captures the correctly oriented frame.

Export

The rotated video is encoded and downloaded as WebM. Convert to MP4 using the Format Converter if needed.

Three sequential encodes

Your video plays through once per format — VP9, VP8, and AVC — for a total of three full passes. Each produces a separate output blob.

Size measurement

Each output blob is measured and displayed with its file size, a size bar relative to source, and percentage difference from the original.

Download any or all

Each format has its own download button. Choose the smallest or the most compatible for your use case.

Frame collection

All frames are captured to offscreen canvases in a first pass — no encoding happens yet.

Robust motion analysis

Multi-scale tiled tracking estimates translation and small rotation, rejects moving subjects, and resets at scene cuts.

Validated MP4 encode

Frames follow the smoothed path behind an adaptive crop capped at 10%, then blank-frame checks and audio muxing finalize a seekable H.264/AAC MP4.

Background removal

Your product photo (or clip) goes through the background remover first — the real alpha in the result is what lets a scene show through behind it.

Scene behind the cutout

In the image or video editor, pick a curated lifestyle scene or upload your own background. It fills the frame behind the subject; layers, opacity, and grading controls help it sit naturally.

Export

Export the composite at full resolution — PNG from the image editor, MP4 or transparent WebM from the video editor. Everything renders on your device.