All image templates

Photo restoration

Old Photo Restoration

Upload a damaged, faded, or scratched old photo for conservative repair only—preserve identity and grayscale era, with no colorization.

BeforeOld Photo Restoration — Before
AfterOld Photo Restoration — After

Damaged → restored

Describe what to repair

List the damage to prioritize and the identity details that must stay unchanged.

Private by defaultClear enough to keep—without pretending it is a new shoot.

Apply only fills the Studio prompt. Generate is the paid step.

Preview restoration prompt
Use the uploaded photograph as the only visual source. Perform conservative AI-assisted restoration: remove damage only, keep grayscale or original tonality, and do not colorize.
Damage to prioritize: scratches, dust, fading, and small tears
Must preserve: identity, expression, composition, clothing, and period grain
Requirements:
- Preserve identity, apparent age, expression, pose, clothing, objects, architecture, light, crop, and everything listed in Must preserve.
- Remove only fading, yellowing, scratches, dust, stains, tears, mild blur, and uneven exposure; keep grayscale or original tonality.
- No colorization, beauty retouching, de-aging, modernization, or invented faces, objects, or modern details.
- No logos, text, watermarks, borders, or cinematic effects.

Restore your old photo

Upload the image, confirm what to preserve, check the model and credit estimate, then generate.

Starting image · required
776 / 3,000
Models
Ratio
Resolution
Est. 3Outputs
1 outputs · 3 creditsUpload a reference image to continue.

Start with the outcome

Choose a direction, then make it yours

Start from a practical brief with a live workflow. Edit the placeholders before you spend credits.

Try a sample

Click to load a still and edit prompt

Create similar

Old Photo Restoration

This template does one job: repair damage. It does not colorize, beautify, or modernize. Treat the result as AI-assisted restoration—not a perfect archival recovery.

Template pages do not publish an upload or result. Sharing stays opt-in: download or post only when you choose to.

Templates do not change generation pricing. The editor shows the live credit estimate before you spend.

Why restoration is its own template

One job only

People come here to repair damage—not to colorize. A single-purpose page keeps expectations clear.

Before/after is obvious

Damaged to clear needs no tutorial; the value is visible immediately.

Honest boundaries

Repair-only, grayscale-preserving prompts reduce mistaking reconstruction for archival fact.

Restoration steps

  1. 01

    Use an authorized photo

    Do not upload a family image, public figure, or sensitive identity data without permission.

  2. 02

    Describe damage and invariants

    Be specific about damage to fix and faces, crop, and clothing that must stay.

  3. 03

    Apply into the editor

    Review the prompt and credit estimate; Apply never charges.

  4. 04

    Inspect the result

    Check eyes, hands, fabric, and background; never treat invented detail as recovered historical fact.

Old photo restoration FAQ

Does it recover the original pixels?

No. Missing areas are plausibly reconstructed. Label the result as AI-assisted restoration, not a perfect archival recovery.

Will it also colorize?

No. This template only repairs damage and keeps grayscale. Use the black-and-white colorizer template for color.

Will my photo be public?

The template page does not publish uploads. Sharing only happens when you choose to download or post a result.

Updated 2026-09-04 · MediaMuse Product

Prompt structure was informed by public photo-restoration discussions and rewritten by MediaMuse; no third-party image or named artist style is copied.