Palette.fm colorizes black-and-white photos with AI filters that produce natural, historically plausible results.
Palette.fm is a focused photo colorization tool beloved by genealogists and photo enthusiasts. Upload a monochrome image and its models add realistic color in seconds, with a library of filter presets that shift tone and mood — from muted vintage to vivid modern. A text-prompt mode lets you guide colorization with hints like ‘autumn park’ or ‘blue uniform’, and results process at full resolution without registration hurdles.
The filter library covers the emotional range users want: muted tones for 1940s portraits, richer palettes for landscapes, and natural skin tones that avoid the orange cast some colorizers produce. Results download at full resolution, and batch credits make large archive projects affordable.
The community around photo restoration loves Palette.fm for its low friction: no software install, no GPU, no account wall for casual use. Historians and families routinely credit it for making archive restoration accessible to non-specialists.
Palette.fm is free for standard-resolution colorization with limited filters. Paid credit packs unlock all filters, higher resolution, and watermark-free downloads.
Genealogists, archivists, and photo enthusiasts restoring family and historical images.
Yes, basic colorization is free; premium filters and high resolution are paid.
Palette.fm is primarily a consumer web tool; API access is limited.
Where DeOldify is open-source and technical, Palette.fm is faster and simpler with more artistic filter control.
Filters provide color variation; fine adjustment is best done in an editor after download.
Palette.fm focuses on photos; for video colorization, DeOldify’s video support is the better fit.
Yes, group photos and scenes are supported alongside portraits.
High-resolution downloads support print use on paid plans.
Many restoration hobbyists and semi-professionals use it as their primary colorizer.
Credit packs support processing multiple images for larger archive projects.
Colorization works best on reasonably intact images; repair scratches and damage first for best results.
Dozens of presets span historical and modern palettes, with more filters available on paid plans.