ChatIMG.AI

Bring Old Photos Back to Life

Upload a scan or phone shot of an old photo and tell the AI what to fix — scratches, fading, blur, or missing color. Get a restored copy in seconds, with the original untouched.

Free to start Original stays untouched No install
What it does
Repairs & colorizes old photos
Input needed
One scan or phone shot
Price · speed
Free to start · seconds per photo

The fastest way to repair a damaged photo

No layers, no cloning tools, no week-long studio turnaround. Because the AI edits from a written instruction, restoring a photo takes one upload and one sentence — and the original file is never modified.

Features

Every kind of photo damage, one workflow

ChatImg edits your actual photo from a written instruction, so each repair touches only what you name — the faces, framing, and memories stay exactly where they were.

Fix scratches & tears

Creases, spots, and torn corners filled in from the surrounding detail.

Colorize black & white

Natural, era-appropriate color added to monochrome prints on request.

Sharpen faded faces

Blur and fading lifted while the person stays recognizably themselves.

Three steps to a restored photo

No software to learn and nothing to install.

  1. 1

    Digitize it

    Scan the print, or photograph it flat in even light.

  2. 2

    Describe the repair

    "Remove scratches, fix the fading, colorize" — plain words work.

  3. 3

    Download & keep

    Save the restored copy and share it with the family.

Who restores photos

The photos people bring back most.

Family archivists

Grandparents' wedding photos and childhood prints, repaired for the album.

Memorials & tributes

A single treasured photo made clear enough to print large.

Genealogy researchers

Faded documents and portraits made readable and shareable.

Everyday rescues

Blurry one-of-a-kind shots — the only photo of that day — sharpened.

Photo restoration, explained

What is AI photo restoration?

AI photo restoration repairs a damaged photograph by reconstructing the damaged regions from the image's own surrounding detail, guided by a written instruction such as "remove the scratches and restore the color". Unlike filters, it operates selectively: only the damage you name is rebuilt, and the rest of the photo is left as shot.

How does colorization decide the colors?

Colorization models predict plausible colors from context — skin, foliage, sky, and fabric each have learned color distributions. The result is period-plausible rather than guaranteed-accurate, which is why you can steer it with what you remember: "the car was dark green".

Restoration vs. enhancement — what's the difference?

Restoration repairs damage: scratches, tears, stains, fading. Enhancement improves quality: sharpness, resolution, lighting. Old photos usually need both, and a single instruction can request both at once.

Sources

Frequently Asked Questions

Ask us anything!

That box of old photos? Start with one.

Upload a single photo and see the restored version in seconds — free to start.