Identity-safe enhancement

Face restoration that keeps people recognizable

Generic upscalers turn eyes into glass and skin into plastic. PhotoSharpener detects faces, routes them through GFPGAN restoration, and still benefits from Real-ESRGAN on the overall frame—so headshots, wedding candids, and scanned relatives look human again.

Max output
Up to 4x
Avg. time
~8s
Formats
JPG - PNG - WebP
After enhancement
Before enhancement
Soft faces
Restored
Drag to compare facial detail
Faces are a special case

Detect, route, reconstruct

After upload, the pipeline finds each face and applies restoration tuned for eyes, teeth, and skin while the background still gets super-resolution cleanup—no manual masking required.

01

Add single or group shots

Works for headshots, reunion tables, or cropped social downloads.

02

GFPGAN restores facial structure

Balances sharpness with believable texture; Real-ESRGAN handles the rest of the frame.

03

Compare identities side-by-side

Use the slider to confirm everyone still looks like themselves—then export.

Restore Faces in One Upload

Upload a portrait or group photo for AI face restoration and clarity.

Drop your image here

or click to browse

Why faces break normal upscalers

Skin has micro-texture; eyes need precision

A landscape upscaler can afford to hallucinate leaves. Faces cannot—GFPGAN is specifically trained to keep expressions believable while recovering resolution.

  • GFPGAN specialization

    Purpose-built for facial feature recovery.

  • Edge discipline

    Keeps teeth and iris boundaries clean.

  • Upscale with faces

    Still outputs up to 4× when you need print size.

Example of improved detail around a subject — after
Example of improved detail around a subject — before
Before
After
Group photos and events

Everyone in the frame deserves the same pass

Uneven DIY face edits show up instantly at weddings and school events. Our detection loop applies consistent quality across every face it finds.

  • Balanced skin tones

    Avoids one person looking AI-smoothed while another stays grainy.

  • Catchlights matter

    Eyes regain dimension needed for professional headshots.

  • Multi-face aware

    Handles overlapping subjects at realistic distances.

Group portrait after face restoration — after
Group portrait after face restoration — before
Before
After
Faces plus everything else

Backgrounds still get super-resolution

Hair, clothing, and scenery benefit from the same cleanup stack so composites do not look mismatched.

Open uploader

AI sharpening

Finishing clarity after restoration.

Dedicated face path

GFPGAN when people are present.

Noise cleanup

Keeps skin from turning speckled when detail returns.

Batch for studios

Process entire portrait sessions on paid tiers.

Portrait ethics FAQ

Face restoration boundaries

Practical answers for photographers and families—no deepfake promises.

The model aims to restore plausible detail for the person already in the photo—it should not invent a new identity. Always review sensitive portraits before publishing.

Yes—GFPGAN + cleanup is one of our strongest combos for vintage prints that were soft to begin with.

Outputs can reach up to 4× when you need wall prints or tight crops afterward.

JPG, JPEG, PNG, WebP per product documentation.

Encrypted transit and automatic deletion after delivery—no training on your portraits.

Clients notice eyes first

Give every face a believable second pass.

Preview on the slider, export when expressions still feel authentic.

Pricing ->
  • Deleted after job
  • Fast cloud GPUs
  • Up to 4× total output