Adjustable identity protection
Control how closely reconstruction should follow the visible facial structure.
Recover facial detail
Face Restoration
Face Restoration is built for portraits where a face is small, compressed, blurry or partially damaged even though the rest of the image may be usable. It can help with old family photos, low-resolution profile pictures, cropped group photographs and images that have been repeatedly saved or shared through messaging apps. The workflow uses adjustable identity fidelity so you can decide whether to protect the visible facial structure more strongly or allow more reconstruction when the source is severely degraded. This distinction is important because face restoration can create convincing detail that was not clearly recorded in the original file. Start conservatively and compare eyes, eyebrows, nose shape, mouth, teeth, hairline, glasses, jewelry and skin texture with the source. For historical or identity-sensitive images, keep the original next to the restored version and avoid treating reconstructed facial detail as documentary evidence. If the whole image is noisy or blurry, clean the broader problem first with Denoise or Deblur, then use Face Restoration only if facial detail still needs focused attention.
Typical processing: 8–20 sec · Formats: JPG, PNG, WebP · Cost: 3 credits starting estimate
What this workflow is designed to do
Portrait-focused processing
Targets facial detail instead of applying strong texture changes to the entire image.
Useful for compressed faces
Improves faces affected by small downloads, messaging compression and old scans.
How to use Face restore
- 1. Upload a portraitUse an image where at least the main facial outline and features are visible.
- 2. Set fidelityIncrease fidelity for identity preservation or lower it cautiously for stronger reconstruction.
- 3. Review every faceCheck eyes, mouth, hairline, expression and accessories before accepting the result.
Quality-control tips
- Use higher fidelity when the person must remain recognizable.
- Prioritize the center face when background faces should not be reconstructed strongly.
- Do not use AI face restoration for identity verification or forensic evidence.
- For scratched prints, run old photo restoration before face restoration.
Face Restoration FAQ
What does identity fidelity mean?
It controls the balance between preserving the visible original face and allowing stronger reconstruction of missing detail. Higher values are more conservative.
Can it restore a face that is completely missing?
No reliable system can recover a face that contains no usable visual information. The workflow may invent a plausible face, but it would not be a factual restoration.
Can I process group photos?
Yes, but inspect every face carefully. The center-face option can focus processing when one subject is more important than the others.
When should I use face restoration instead of general enhancement?
Use face restoration when a face is genuinely tiny, damaged, blurry or heavily compressed. A modern portrait that already has clear eyes and skin detail usually benefits more from mild enhancement, denoise or lighting correction than strong generative face reconstruction.
Can face restoration change someone’s identity?
Strong reconstruction can alter eye shape, teeth, wrinkles, hairline, facial hair, makeup or expression. Compare the result side by side with the source and another verified photo when identity accuracy matters, and prefer modest improvement over dramatic reconstruction.
Is face restoration suitable for IDs or legal evidence?
Use extreme caution. Generated facial detail is an estimate and should not be treated as captured evidence or used to establish identity. Preserve the original and rely on authoritative source material for legal, security or identification decisions.
How can I keep skin texture natural?
Avoid maximum reconstruction on already-clean portraits. Inspect pores, beard stubble and fine lines at 100% zoom, then judge the image again at normal viewing size. Natural skin usually retains some texture rather than becoming perfectly smooth.
Guides for better face restore results
- How to restore a blurry or damaged face without changing identity
- Face Restoration: a practical workflow for cleaner, more natural results
- Common Face Restoration mistakes and how to avoid overprocessing
- How to prepare an image before using Face Restoration
- Face Restoration for Portraits: what to check before publishing
- How to review Face Restoration results at 100% zoom and final size
- Face Restoration vs AI Image Enhancer: which tool should you use?
- Why face restoration results can fail and how to fix the source
- Face Restoration for websites and social media: quality, size and export choices
- Face Restoration, privacy and accuracy: what to know before processing