Unmark
A minimal, on-device watermark eraser. Drop an image, brush over the mark (or
tap ✦ corner for the standard AI-watermark position), hit erase —
the region is reconstructed by a generative inpainting model running entirely
in your browser. Nothing is ever uploaded.
How it works
- Model — MI-GAN
(
migan_pipeline_v2.onnx, ~27 MB), a lightweight generative inpainting
network. Self-hosted from public/models/ and cached by the browser after
the first visit.
- Runtime — onnxruntime-web, preferring the
WebGPU execution provider and falling back to multithreaded WASM
(cross-origin isolation headers are set in
next.config.ts to enable
threads). Runtime binaries are vendored into public/ort/ by
scripts/copy-ort.mjs on npm install.
- Inference —
src/lib/inpaint.ts feeds the model raw uint8 tensors
(image [1,3,H,W] RGB + mask [1,1,H,W], where mask 0 marks the hole)
on a ~512 px crop centered on the mask, then composites only the masked
pixels back into the original — full-resolution context, no global resampling.
- UI — Next.js App Router + Tailwind. One screen: canvas, brush,
corner preset, undo, hold-to-compare, PNG export. Keyboard:
[ ] brush
size, ⌘Z undo, hold C to compare.
Develop
npm install # also copies onnxruntime wasm files into public/ort/
npm run dev
npm run build && npm run start for a production build. Deploys to Vercel
with zero configuration; there is no server-side compute — the entire
pipeline is static assets plus client inference.
Scope
Intended for images you have the rights to — e.g. cleaning the visible
sparkle from AI images you generated. It does not (and will not) touch
invisible provenance watermarks such as SynthID. Don't point it at other
people's copyrighted work.
Credits
