About Ai Pixel Boost

Every old photo deserves a second look.

We started Ai Pixel Boost because the tools for fixing a photo were built for people who already know how to use them. Ours isn't. Drop in a photo, get a better one back — no sliders, no account, no subscription.

100% Runs in your browser. Photos are never uploaded to a server.
AI Real neural networks for upscaling and background removal, running on your own device.
$0 No account, no credit card, no watermark on your photo.
Why we built this

A box of old prints started it.

One of us spent a weekend scanning a shoebox of family photos, then another weekend hunting for software that could clean them up without a manual. Every option asked for an account, a subscription, or an afternoon learning curve.

So we built the tool we actually wanted: upload a photo, get a sharper, cleaner, better-balanced version back immediately. No presets to tune, no plan to pick. That idea is still the entire product.

Today people use Ai Pixel Boost for family archives, resale listings, portfolios, and anything else where a photo needs to look its best in a hurry.

Built to stay simple

One pipeline, applied automatically — sharpness, noise reduction, and color balance in a single pass.

What we care about

The principles behind the product.

Privacy by default

Enhancement runs on-device using canvas processing. Your photos aren't sent to us, stored, or used to train anything.

No learning curve

There's nothing to configure. If you can drag a file into a browser window, you already know how to use the whole product.

Built for volume

Whether it's one keepsake photo or a whole box of listing photos, the same fast pipeline handles it — free, every time.

Credits

Built on open-source AI.

Ai Pixel Boost runs these open-source models and libraries in your browser. Thank you to their authors.

  • Real-ESRGAN (realesr-general-x4v3) by Xintao Wang et al. — photo upscaling and restoration. BSD-3-Clause licence.
  • U²-Net / silueta via the rembg project — background removal. Apache-2.0 / MIT licences.
  • ONNX Runtime Web by Microsoft — runs the background model in the browser. MIT licence.
  • Tesseract.js — text recognition for Image to Text. Apache-2.0 licence.
  • MediaPipe Selfie Segmentation by Google — backup background model. Apache-2.0 licence.
  • Demo shoe photos from the Clothing Dataset by Alexey Grigorev — CC0 (public domain).
FAQ

Questions about Ai Pixel Boost.

Everything runs on your own device, so there are no costly servers processing your photos. That lets us keep every tool free, with no account and no watermark.
Real-ESRGAN for photo enhancement, a U²-Net model for background removal and Tesseract.js for reading text. The full list is in the credits above.
No. Your photos never leave your device, so we never see, store or train on them.
Send us a message on the contact page. We read every message.
Yes. All tools work in mobile browsers. Large photos can take a little longer on older phones.

See what your photos could look like.

100% free, unlimited, and no account required.

Enhance a photo now