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Old Photo Restoration

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Restore old, damaged family photos with AI — repair scratches, tears and fading, or add natural color. Faces stay exactly as they are.

AI-Powered
Photos stay private
Faces unchanged

Bring your old photo back to life

Add extras (optional)

We always repair the damage and keep faces exactly as they are.

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How to Use

  1. 1 Upload a scan or phone photo of the old print (JPG, PNG or WEBP, up to 8MB).
  2. 2 Pick an option: Restore, Restore + Colorize, or Face Enhance.
  3. 3 Click Restore Photo and wait about a minute while the AI repairs the damage.
  4. 4 Compare the before/after result, then download the restored photo as a PNG.

Features

  • Repairs scratches, tears, creases, stains and water damage
  • Recovers faded contrast and detail lost over decades
  • Optional natural colorization for black-and-white photos
  • Face Enhance mode sharpens blurry or low-resolution faces
  • Side-by-side before/after comparison before you download
  • Sign-in required — your photos and results stay private to your account

Why it Matters

Most families have a shoebox of photographs that are slowly being lost to time — creased prints, water-stained albums, faces fading into yellow paper. Reprinting can't fix that, and professional restoration costs thousands of rupees per photo. AI restoration repairs the damage in about a minute while keeping the people in the photo exactly who they are.

★★★★★

Use Cases

Family Keepsakes

Restore your grandparents' wedding photo or a parent's childhood portrait and print it fresh for the living-room wall.

Colorize History

Turn a black-and-white family photo into a naturally colorized version — a striking gift for anniversaries and birthdays.

Rescue Damaged Prints

Water-stained, torn or creased prints from old albums get repaired without re-shooting or re-scanning.

Sharpen Old Portraits

Blurry or low-resolution faces in group photos become clear enough to frame or use in tributes.

How to use

  1. Digitise the print. Scan it (600 DPI is ideal) or take a clear, glare-free phone photo of it in good light.
  2. Upload it to the tool — JPG, PNG or WEBP up to 8MB. The photo is downscaled and sent privately to your account.
  3. Pick a mode:
    • Restore — repairs scratches, tears, stains and fading. Black-and-white photos stay black-and-white.
    • Restore + Colorize — repairs the damage, then adds natural, historically plausible color.
    • Face Enhance — sharpens and deblurs faces only, leaving the rest of the photo untouched.
  4. Compare and download. Check the side-by-side before/after, then download the restored PNG. Not happy? Switch modes and run again — each run uses 1 credit.

Tips for the best restoration

  • Scan flat, not at an angle. Perspective distortion confuses the repair — a flat, square scan gives the cleanest result.
  • Don’t crop too tight. Leave a little border around the print so torn edges and missing corners can be rebuilt.
  • One photo per run. A scan with multiple prints in the frame restores worse than each print scanned alone.
  • Start with Restore, then colorize. If a photo is badly damaged, the plain Restore mode is the most faithful starting point; colorization can always be a second run.

What restoration honestly can and can’t do

AI restoration is excellent at repairing surface damage — scratches, creases, stains, fading — and at recovering tonal range that decades of light exposure washed out. It is deliberately constrained here to not restyle, re-pose or beautify anyone: a restoration that changes your grandfather’s face isn’t a restoration.

What it can’t do is invent truth. If half a face is physically missing from the print, the AI would have to guess — and a guess is not your relative. For photos with severe, content-destroying damage, expect an improvement rather than a miracle, and always judge the before/after comparison yourself before printing.

Frequently Asked Questions

Will the AI change the faces in my photo?
No — and this is the honest answer, not marketing. The restoration instruction explicitly tells the AI to keep every face, identity, expression and age exactly as they are, and not to beautify or alter anyone. That said, AI restoration re-renders the image, so on very small or heavily damaged faces tiny differences can appear. Always compare the before/after view before downloading — if a face looks off, run it again or try the Face Enhance option.
How does old photo restoration work?
Upload a scan or phone photo of the damaged print, pick an option (Restore, Restore + Colorize, or Face Enhance), and the AI repairs scratches, tears, stains and fading in about a minute. You see a side-by-side before/after and download the result as a PNG.
Will my black-and-white photo stay black-and-white?
Yes, in the default Restore mode — it only repairs damage and explicitly keeps black-and-white photos black-and-white. If you want color, choose Restore + Colorize, which adds natural, period-appropriate tones.
How much does it cost?
Each restoration uses 1 generation credit. Credit packs start at ₹99 for 10 images. You need a free account to run the tool; if you're out of credits you can buy a pack right from the tool — a failed run is never charged.
Are my photos private?
Yes. You must be signed in to use the tool, and both your uploads and restored results are private to your account — they are never made public, and you can delete them anytime from your storage page.
What kind of damage can it fix?
Scratches, tears, creases, dust marks, stains, water spots, missing corners, fading and loss of contrast. It also reduces grain and noise. It can't recover content that's completely gone — a fully missing face can't be truthfully reconstructed.
What's the best way to digitise the original print?
A flatbed scanner at 600 DPI is ideal, but a phone photo works well too: lay the print flat in bright, even daylight, avoid glare and shadows, fill the frame, and hold the phone parallel to the print.
What do I get as output?
A high-resolution PNG that matches your photo's orientation (portrait, landscape or square). It's ready to print, share on WhatsApp, or archive.

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