AI Face Retouch on AI Image Enlarger vs Palette.fm

Imglarger AI Face Retouch cleans up soft, blurry, or low-resolution faces in selfies, headshots, and portrait photos through a browser uploader. Drop a JPG, PNG, or WebP file up to 10 MB, run the automated pass, preview the result, and download when the face looks sharper.

General photo enhancers sharpen the whole frame and often flatten skin texture. This retouch workflow targets facial details such as eyes, hair, and contours while aiming to keep the person recognizable, which is why it fits portrait fixes better than a one-click upscale on the full image.

Creators fixing profile photos, family scans, and social portraits use it when they want clearer faces without learning manual retouching tools. Free credits are available to start, with paid plans for heavier use, and processed files are deleted within six hours.

Palette.fm colorizes black-and-white photos through a browser upload flow with 21+ filter presets and keyword-based color tweaks. Upload an image, pick a filter, adjust descriptive keywords if needed, then download a full-resolution result or keep iterating on previews. The photo editing workflow targets family historians, photographers, and creators restoring old prints without opening Photoshop.

Most colorizers lean on heavy sepia and purple casts with little room to steer skin tones or fabric colors. Palette.fm lets you click a filter then fine-tune hues through plain-language keywords, and it sells one-time credit packs alongside subscriptions. Free previews cap at 500x500 pixels with a watermark, while paid credits remove the logo and support files up to 5000x5000 pixels.

Genealogy researchers, photo archivists, and YouTube educators use Palette.fm to batch-test color looks before committing credits. The site reports 54 million photos colorized and 6.6 million registered users, with an API option for teams that want programmatic access.