RADIANT vs Palette.fm

Radiant Imaging Labs builds Radiant Photo 2, a desktop photo editor for Windows and macOS that applies scene-aware corrections locally on your machine. Open a raw or JPEG file and the software reads the subject, lighting, and background before suggesting exposure, color, and detail adjustments. It also ships mobile camera apps and a Marketplace of Looks, presets, and genre Workflows.

Where most AI photo tools lean on cloud processing or generative edits that add or remove pixels, Radiant keeps everything on your computer and explicitly avoids generative AI. Corrections stay assistive: the app analyzes what is already in the frame rather than inventing new content, and original pixels remain intact through a non-destructive workflow.

The desktop app runs standalone or as a plugin inside Adobe Photoshop, Lightroom Classic, and Corel PaintShop Pro. Optional Workflow modules target landscape, portrait, bird, and pet photography with tuned presets and scene libraries, including 94 bird-specific scenes in the Birds Workflow. Smart Batch Export and sidecar files support high-volume editing without leaving the folder structure you already use.

Photographers who want fast, natural-looking results without weeks of slider practice tend to be the core audience. Enthusiasts get automatic enhancements out of the box, while professionals use it as a finishing pass before delivery. A 30-day trial runs the full app and plugins without asking for payment details.

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.