Free OnlineAI Photo Restoration

Mew Design - AI Design Agent works as an online AI photo restorer for faded family portraits, scratched prints, damaged wedding photos, and vintage snapshots. Upload your image, describe what to repair, and create a cleaner version while telling the AI to preserve faces, poses, clothing, background details, and the original era.

How to Restore Old Photos with AI

Start with the clearest scan you have, name the damage, and state exactly what must remain unchanged. Our AI photo restoration workflow lets you review the first repair and request smaller, targeted corrections in chat.

Upload the Best Available Scan

Add a flat, evenly lit scan or a sharp phone capture. Keep the uncropped original so the AI can see torn edges, paper texture, clothing, faces, and background context.

Describe the Repair and Guardrails

Tell the AI whether to remove scratches, creases, stains, fading, blur, or missing edge damage. Add clear constraints such as “keep every face, expression, pose, outfit, and object unchanged.”

Generate and Compare the Restoration

The online AI photo restorer analyzes the image and creates a repaired copy. Compare faces and small historical details with the original before accepting reconstructed areas or optional color.

Refine and Download a Copy

Click Chat Edit to soften over-sharpening, fix one remaining scratch, reduce color intensity, or keep the result black and white. Export a watermark-free PNG or JPG and retain the untouched scan as your archival source.

Restoration Control for Photos That Matter

Repair by Describing the Damage

Instead of learning clone stamps and masks, tell the AI photo restorer what happened to the print: long scratches, fold lines, dust, stains, fading, or a torn corner.

Set Identity-Preservation Guardrails

Ask the AI to keep facial structure, age, expression, hairstyle, pose, clothing, and composition close to the source. Always compare important faces with the original because severely missing detail must be estimated.

Choose Restoration, Colorization, or Both

Use our AI old photo restoration workflow to make a faithful cleaned black-and-white copy, a naturally recolored version, or separate outputs for each treatment.

Correct One Detail Through Chat

If the first result feels too smooth or changes a small object, use Chat Edit and request a focused correction without rewriting the whole restoration brief.

Create Gentle and Strong Variations

Generate a conservative repair for family archives and another version with stronger sharpening or color recovery. Side-by-side options help you choose how much change feels appropriate.

Free to Try and Watermark-Free

Try AI photo restoration online with free AI credits after signup. Download finished images without a watermark in PNG or JPG format for sharing, albums, and personal reprints.

How to Prompt AI for Faithful Photo Restoration

Restore this scanned 1940s black-and-white family portrait conservatively. Remove the vertical scratches, fold crease, dust, and yellow stains; recover moderate contrast and fine clothing detail. Keep every person's facial structure, age, expression, hairstyle, pose, hands, clothing, background, framing, and period character unchanged. Do not beautify, modernize, colorize, replace the background, or invent details in unclear areas. Preserve natural film grain and return one clean black-and-white version.

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When using an AI photo restorer, name the visible damage, the desired finish, and everything that must stay faithful to the original.

Start with preservation: List identity, expression, pose, clothing, objects, framing, and period details that should not change.
Separate repair from style: First ask for scratches, stains, fading, and blur to be repaired. Request colorization or stronger sharpening as a separate version.
Describe damage by location: Mention details such as a crease across the left cheek, a torn lower-right corner, or fading around the edges.
Limit invention: For missing faces or objects, ask the AI to make minimal, context-consistent repairs and leave uncertain details understated.

Photo Restoration Prompts for Real Damage

Gentle Family Portrait Repair: Restore this scratched black-and-white family portrait without changing any face, expression, pose, clothing, or background object. Remove dust, thin scratches, and the center fold; balance contrast; retain realistic film grain; keep the result black and white.

Old Wedding Photo Colorization: Repair this faded 1950s wedding photo, remove creases and stains, then create a separate naturally colorized copy with restrained period-appropriate tones. Preserve the couple's identity, clothing design, flowers, venue, lighting direction, and composition.

Faded 1970s Color Photo: Recover the original-looking color in this warm, faded 1970s family snapshot. Reduce the orange cast, restore balanced skin tones and clothing colors, remove dust, and improve clarity gently. Do not modernize the palette or smooth faces.

Torn Group Photo Repair: Repair the torn edges and missing lower-left background of this old group photo. Keep all people exactly where they are and preserve each visible face, hand, uniform, badge, and sign. Reconstruct only the damaged paper areas with minimal new detail.

Low-Resolution School Portrait: Improve this small scanned school portrait for a modest reprint. Reduce blur and compression, clarify the eyes and hair gently, and preserve the child's real facial proportions, freckles, age, expression, clothing, and studio backdrop. Avoid beautification and plastic skin.

Historical Street Photo Cleanup: Clean this archival street photograph by removing scratches, spots, and uneven exposure. Preserve the original monochrome tone, grain, signage, vehicles, architecture, clothing, crowd arrangement, and frame edges. Do not add modern objects or color.

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FAQs About AI Photo Restoration

Yes. You can sign up for free AI credits, upload an old photo, test a restoration, and download finished images without a watermark. Credit use depends on the image task and model selected.

It can help with scratches, dust, fold lines, small tears, stains, fading, color casts, blur, noise, and low-resolution detail. Results depend on how much usable visual information remains in the source.

Generative repair can estimate details that are unclear or missing, so exact identity cannot be guaranteed. Tell the AI to preserve facial structure and expression, choose a gentle repair, and compare every important face with the untouched original.

Yes. Ask for scratch removal, contrast recovery, and gentle sharpening while keeping the image monochrome. You can generate colorization as a separate version so the restored black-and-white copy remains available.

Use a flat, sharp, evenly lit scan that captures the full photo and its damaged edges. Avoid flash glare and perspective distortion. Keep the highest-quality original file and upload a copy for restoration.

AI may reconstruct a small missing area from nearby context, but a largely absent face or object requires guesswork. Treat that output as a creative reconstruction, not an exact historical record, and consider a professional conservator for irreplaceable originals.

Yes. Export a PNG or JPG for digital albums, family sharing, or reprinting. Check faces, hands, text, uniforms, jewelry, and other meaningful details at full size before you print or publish it.

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