Bring old photos back to life.
Repair, sharpen, fill, and reframe — a full AI photo studio that runs entirely in your browser. Your photos never leave your device.
A restoration studio, minus the upload.
The models come to you. Nothing to install, nobody to trust.
Five tools, one studio
Restore, sharpen, fill, ID photos, and smart crop — every photo fix in a single page.
100% private
Old family photos are personal. Everything runs on your device — no uploads, no servers.
WebGPU accelerated
Inference runs on your GPU when available, with automatic WASM fallback everywhere else.
Real AI models
Swin2SR super-resolution, GFPGAN face revival, LaMa inpainting, BiRefNet & MODNet matting — locally, MIT/Apache licensed.
Three steps. Zero uploads.
- 01
Drop in a photo
Drag & drop, paste, or browse. JPG, PNG, or WebP — from scans to phone snapshots.
- 02
Pick a mode
Restore old photos, sharpen blur, brush away objects, swap ID backgrounds, or crop smart.
- 03
Compare & download
Slide between before and after, then save a full-quality PNG. Models cache for instant reuse.
Restore
Scratches, noise & color revived
Sharpen
Swin2SR 2×/4× super-resolution
Fill
LaMa inpainting erases objects
ID Photo
Cutouts & passport sizes
Crop
Subject-aware smart framing
About the photo restorer
A free AI toolkit for restoring old and damaged photographs: scratch removal, blemish repair, face enhancement, and upscaling in one place, running fully on your device. It is designed for digitized family archives, historical scans, and damaged prints where uploading sentimental images to a third party feels wrong — and usually costs a per-photo fee anyway.
How it works
The toolkit combines several on-device models: a LaMa-style inpainting network fills scratches, tears, and dust spots by reasoning about the surrounding pixels; a face-restoration model sharpens and repairs portrait detail; and super-resolution enlarges the cleaned result. Masking scratches yourself gives the inpainter precise guidance, while one-click modes handle common defects automatically. All models run via WebGPU when the browser supports it, with WebAssembly fallback.
Limits & requirements
First runs download model weights, which are cached afterward. Restoration quality depends on the scan: deeply faded or water-damaged photos benefit from manual masking. Keep your original scans — all edits produce a new file rather than overwriting the source.
Privacy
Family photos can be deeply personal. Here they never leave the browser: no upload, no server-side processing, no retention policy to worry about.