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  3. Image Colorize
SilverAISilverAI

Image Colorize

Restore and colorize old black-and-white photos with AI.

image

Overview

Image Colorize is an AI Photo Restoration and Colorization model designed to restore old photos and convert black-and-white images into color. The model automatically repairs common photo damage such as scratches, cracks, and fading while applying realistic colors based on image context.

Built for developers, the Image Colorize API can be used in photo restoration apps, genealogy platforms, photo scanning services, and editing software. A single API call restores and colorizes vintage photographs with minimal integration effort.

Key Capabilities

  • Automatically detect and repair cracks, scratches, and mold damage on old photos

  • Context-aware colorization that understands skin tones, fabrics, sky, and vegetation

  • Consistent lighting and depth preservation using FLUX-Kontext architecture

  • Natural color transitions without bleeding or flat patches at edges

  • Optional prompt guidance for specific colorization preferences

  • Fast processing suitable for batch restoration workflows

Supported Tasks

Black-and-white photo colorizationDamaged photo restoration (cracks, scratches, mold)Sepia-tone photo conversion to full colorCombined restoration and colorization in a single pass
Specifications
model idimage-colorize
vendorSilverAI
typeimage
architectureLoRA of FLUX-Kontext (Image-to-Image)
inputOld photo (black-and-white, sepia, or damaged RGB)
outputRestored and colorized RGB image
endpoint/v1/images/colorize
Usage Pricing
Pay only for what you use
~$0.0034 / image
  • credits: 4 credits / image
  • credit rate: from $0.001 per credit
  • free tier: Available with API key signup
  • volume discounts: Available for high-volume usage

Save up to 70% vs direct pricing

Aggregated volume discounts.

Use Cases

Build Apps via Image Colorize API

Deploy production-ready scratch repair and image colorization features instantly without training your own AI models.

Historical Black-and-White Photo Colorization

Archival documentary photos or original black-and-white portraits that are structurally intact but lack color come alive through AI colorization. The model automatically applies color to skin, eyes, lips, and surrounding backgrounds with harmonious palette choices and natural gradient transitions -- no color bleeding or flat patches at contour edges. Ideal for museums, archives, and family heritage projects.

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Historical Black-and-White Photo Colorization

Damaged Old Photo Restoration

Black-and-white photos showing cracks running across faces, water damage, or age-related deterioration are cleaned and rebuilt. The AI erases crack lines, reconnects broken detail segments on faces and clothing, and returns a smooth, complete image. Combined with colorization, a single API call transforms a deteriorating vintage photo into a vibrant, restored memory.

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Damaged Old Photo Restoration

Photo Editing Apps and Professional Studios

Developers can integrate the Image Colorize API into photo editing applications to serve both casual users preserving family memories and professional studios offering restoration services. The fast processing speed enables real-time preview of colorized results, while prompt guidance allows fine-tuned control over color choices for demanding professional workflows.

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Photo Editing Apps and Professional Studios

Integration in 3 steps

Start Building In Minutes

Integrate the Image Colorize API into your existing workflow via Snapedit with just a few simple steps. No credit card required to start.

1

Sign Up

Create your Snapedit account in 30 seconds and receive free credits instantly. No credit card required.

2

Create API Key

Generate a globally valid Snapedit key with easy management from your dashboard.

3

Start Calling

Update your Base URL and API key to start calling Image Colorize with smart routing and cost optimization.

Get API Key

FAQ

Frequently Asked Questions

Everything you need to know about using the Image Colorize API through Snapedit.

The API supports black-and-white photos, sepia images, scanned prints, and damaged historical photographs. Both restoration and colorization can be applied automatically.

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