Cleanup Pictures vs Palette.fm

Cleanup Pictures is a browser-based photo editor focused on AI inpainting. You brush over an unwanted person, object, text, watermark, or blemish, and the tool reconstructs the background in a few clicks. No Photoshop clone stamp or reference patch is needed.

Most inpainting apps need you to sample nearby pixels manually. Cleanup Pictures, built by the Clipdrop team at Init ML, uses a model that guesses what was behind the selection, which handles shadows and complex edges better than traditional retouch tools.

Photographers use it to erase tourists from travel shots and fix cracked prints. Real estate agents depersonalize room photos, e-commerce sellers clean product shots, and agencies touch up campaign visuals. Exports cap at 720px on the free plan; Pro unlocks full resolution for $5 per month or $36 per year.

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.