Palette.fm is an AI-powered photo colorization platform that transforms black-and-white photos into realistic, vibrant color images. Designed for photographers, content creators, historians, and everyday users, the tool uses proprietary machine learning models trained on millions of images to automatically add lifelike color to grayscale photos with minimal effort. With over 54 million photos already colorized and a user base of 6.6 million, Palette.fm has established itself as a leading solution in AI-driven colorization.
How It Works
The colorization process follows a simple three-step workflow. Users upload a black-and-white photo, select from over 21 color filter presets, and either download the result or fine-tune colors by adjusting descriptive keywords. Each filter applies a distinct color profile trained on real-world images, and users can preview results instantly before committing to a full-resolution export. The system supports batch uploads, allowing multiple images to be processed in a single session for efficient workflow.
Key Capabilities
Palette.fm delivers colorizations up to 5000x5000 pixel resolution on paid plans. The AI handles diverse subject matter including portraits, landscapes, historical photographs, architecture, fashion, and interior shots. Pro workflow features include filter pinning, organization, and duplication for efficient batch editing. The platform also offers a Windows desktop application in partnership with Covenant Software, plus bulk processing through Google Colab, Google Drive, and Dropbox integration. For developers, Palette.fm provides both a Photo API and a Video API via RapidAPI, supporting SD, Full-HD, and 4K output with flexible credit-based pricing. Python code snippets are available to accelerate integration for both image and video colorization.
Use Cases
Photographers restore and enhance old family photos with realistic colorization. Historians and archivists colorize historical images for exhibitions, documentaries, and publications — a use case that has earned Palette.fm recognition from Kevin Kelly, founding editor of Wired, who called it remarkably accurate. Content creators add visual impact to social media posts and marketing materials. Film and video producers colorize archival footage for productions, and the platform is trusted by major media organizations for professional-grade results.
Intended Users
The platform serves casual users through professionals alike. The free tier lets anyone try colorization with unlimited previews. Photographers, graphic designers, and video editors benefit from subscription and pay-once plans that unlock full-resolution exports, watermark-free downloads, and faster 10x processing. Developers integrate the API into custom applications for automated or bulk colorization pipelines, from mobile apps to server-side batch processing.
Integrations
Beyond the web application, Palette.fm offers an API ecosystem via RapidAPI for custom integrations. Bulk processing is supported through Google Colab notebooks, Google Drive, and Dropbox. A standalone Windows desktop application by Covenant Software provides an offline workflow option. The platform also integrates with neural.love for simple video colorization that requires no technical knowledge.
Pricing
Palette.fm operates on a credit-based model where one credit equals one full-resolution, watermark-free colorization. The free plan provides one trial credit plus unlimited previews at 500x500 pixels with a watermark logo and ads. The Subscribe plan costs $72 per year ($6/month), offering 480 credits annually at $0.15 per credit with 10x faster processing, watermark-free previews, pro features, and no ads. Credits roll over up to five times the monthly amount. The Pay Once plan offers 75 credits for a single $49 payment, valid for two years with no recurring commitment. API pricing starts with a free Basic tier (200 credits, 1 QPS), scaling up to Pro ($39/month, 8,000 credits), Ultra ($79/month, 20,000 credits), and Mega ($169/month, 48,000 credits).
