Magic Remover vs Palette.fm

Magic Remover erases unwanted objects, people, text, and watermarks from photos using AI inpainting in the browser. You upload an image, brush over the area to remove, and the tool reconstructs the background behind the selection. ZMO.AI positions it for e-commerce cleanup, watermark removal, and fixing defects in generated images.

Dedicated background removers strip the whole canvas. Magic Remover targets selective cleanup with a brush mask so you delete one passerby, logo, or blemish while leaving the rest untouched. ZMO lists unlimited free edits with no image size cap, though high-resolution downloads may require a Pro membership on the broader ZMO platform.

Photographers, marketplace sellers, and social creators use it when Photoshop is overkill. The remover subdomain was unreachable during this check, but ZMO's ImgCreator suite still links to Magic Remover alongside a separate Background Remover tool at imgcreator.zmo.ai.

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.