AI Photo Editor vs Palette.fm

PhotoEditor.ai bundles 30+ browser-based photo editing tools for cleanup, background removal, upscaling, inpainting, and image generation. You upload a JPG, PNG, HEIC, AVIF, or WEBP file up to 15MB, pick the task-specific tool, and download the result without installing desktop software.

Instead of one general editor with every feature buried in menus, each job gets its own page and default model benchmarked for that task. That is the main difference from template-first design apps like Canva or chat-based image edits inside Gemini and ChatGPT, which lack per-tool controls and batch-friendly workflows.

The free tier covers Cleanup, Remove Background, and Enhance with 720px exports and no signup. Marketers, ecommerce sellers, photographers, and casual users who need quick retouching on desktop or mobile browsers are the core audience.

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.