Remove.bg vs Palette.fm

Remove.bg strips backgrounds from photos in about five seconds after you upload an image, drop a file, or paste a URL. You get a cutout on a transparent PNG, which is the format most ecommerce and design workflows expect for product shots, logos, and headshots.

Unlike a full photo editor where background removal sits behind layers and masks, Remove.bg treats cutouts as the whole job. It also sells credits for max-quality exports, an HTTP API with 50 free calls per month, bulk editing on higher tiers, and plugins for Photoshop and desktop apps.

The free tier covers low-resolution previews so you can test results before buying credits. Photographers, ecommerce teams, marketers, and developers use it when they need clean cutouts without hand-tracing hair or product edges.

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.