AI Face Enhancer
Upload a selfie, portrait, or group photo where the face is still recognizable. This workflow targets facial contours and texture while preserving the original expression, pose, crop, hair, clothing, and background for direct comparison.
Face-restoration preset selected · compare identity, expression, and skin texture
Drop a portrait or group photo here
Drop a portrait or group photo here
Choose the original file with the largest visible face area.
JPG / PNG / WebP
Max 3 images per time · JPG / PNG / WebP
Uploaded images follow the site image-retention policy.
iPhone: switch Camera > Formats to Most Compatible, or upload a screenshot.
This page is designed for clarity problems in recognizable faces. It does not reshape features, replace a person, apply makeup, or promise a more attractive portrait.
The face-focused route processes eyes, brows, mouth, nose, and the boundary between face and hair when those structures remain visible. It works best on mild softness or compression, not on a face reduced to a few anonymous pixels.
A useful result should improve visibility without turning pores, wrinkles, freckles, or facial hair into uniform plastic texture. Compare the processed face at normal viewing size and again at a closer crop before downloading.
Sharper output is not automatically more accurate. Check eye spacing, smile shape, age cues, scars, moles, glasses, and expression against the source because face restoration can estimate detail when the input is weak.
A face enhancer should make an existing person easier to see, not redesign the portrait. The selected workflow focuses processing on facial detail while the scene remains a photograph of the same person. Strong motion blur, an occluding hand, extreme profile angles, or a face only a few pixels wide can leave too little evidence for reliable recovery.
Reject a result when it changes identity, expression, age, eyewear, facial hair, or another defining feature, even if the output looks technically sharper.
The best input shows a face large enough to recognize before processing. Use the original photo and evaluate the result as a portrait, not just as a sharp image.
Choose the camera file instead of a screenshot or forwarded copy. A larger face area, visible eyes, and limited occlusion give the restoration workflow more genuine contours and texture to work from.
This URL sends the task through the server-controlled face policy. The page keeps the same upload, account, credit, retry, and download lifecycle as the main product while preserving a face-specific processing state.
Check the face at normal size and zoom in on the eyes, mouth, hairline, glasses, and distinctive features. Keep the result only when the person and expression still match the source photograph.
Input
The face can be soft, compressed, or somewhat distant, but major features should still be visible. Covered eyes, severe smear, and tiny faces reduce the evidence available for identity-safe enhancement.
Processing
The server maps this task to the face-restoration policy. Users choose the face job by visiting the page; they do not send arbitrary provider model names or bypass the normal entitlement checks.
Output
The preview should make surviving facial structure easier to inspect while retaining the original scene. Compare the source and result before using the image for a profile, print, or family archive.
These cases share the same face-enhancement task. They remain presets and examples within one page instead of becoming duplicate URLs for every portrait type.
A slightly missed focus or compressed front-camera photo can be a suitable input when the eyes, mouth, and face outline remain recognizable. Heavy beauty filters may already have removed natural texture that cannot be recovered faithfully.
Group photos require checking every person, not only the central subject. Faces far from the camera may contain different levels of usable detail, so one person can improve while another remains uncertain.
Repeated social-media compression can soften eyelashes, hair, and the boundary around glasses. Start with the earliest available file and compare any fine lines or accessories that carry identity information.
Low-resolution camera photos can benefit from face-focused recovery without being treated as physically damaged prints. Use the old-photo page instead when scratches, paper creases, and fading are the primary problems.
Stay on Face Enhancer when facial clarity is the main task. Use a sibling when paper damage, general photo cleanup, or whole-image blur matters more.
Upload the best source file, compare identity-defining details, and keep the result only when the person still matches the original.
What the face workflow can improve, what it should preserve, and when the source is too weak.
