AI Photo Editor | Canva vs Palette.fm

Canva AI Photo Editor is a browser-based photo editing workspace inside Canva where you upload an image and apply AI tools like Magic Edit, Magic Eraser, Background Remover, and Image Upscaler. You can erase objects, replace backgrounds from a text prompt, recolor detected subjects, and extend image borders without opening a separate desktop app.

Unlike standalone AI photo apps, these edits live inside Canva's full design editor. A cleaned product shot can drop straight into an Instagram template, presentation slide, or print layout in the same session, which is the trade-off most single-purpose editors skip.

Magic Edit runs on Google's Nano Banana model: click an element or brush an area, type what to change, and the tool adds or replaces that region. Magic Grab isolates subjects, foreground objects, and backgrounds so you can resize or reposition each piece individually, while Grab Text lets you edit words baked into a photo.

Marketers, small business owners, students, and social creators use it for quick touch-ups when they need polished visuals but not a Photoshop workflow. The base photo editor is free with no export watermark; Magic Eraser, Background Remover, and other premium AI tools require Canva Pro or higher.

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.