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Old Photo Restoration - Repair, Colorize, and Enhance Locally
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Restore old photos in your browser with a full-image local model for fading, compression damage, blur, and low-resolution detail. Optionally colorize, enhance, and upscale 2x or 4x without uploading your photos to a business server. Missing pixels, colors, faces, and text may be inferred, so review important details before export.

Features

Browser-local full-image model
Old photo quality restoration
Old photo colorization
Denoise and detail enhancement
2x and 4x upscale
PNG and JPG export
Original result comparison
+1 more features

Usage Examples

What this tool helps with

Restore old photos in your browser with a full-image local model for fading, compression damage, blur, and low-resolution detail. Optionally colorize, enhance, and upscale 2x or 4x without uploading your photos to a business server. Missing pixels, colors, faces, and text may be inferred, so review important details before export.

Recommended workflow

  1. 1Choose a photo - Drop, select, or paste a JPG, PNG, or WebP photo; the source stays on your device
  2. 2Choose restoration - Enable damage repair, black-and-white colorization, detail enhancement, and 2x or 4x upscale
  3. 3Run the model - Process the full photo locally without manually selecting a region
  4. 4Compare and review - Use the slider against the original before reviewing faces, text, colors, and texture
  5. 5Export locally - Download PNG or JPG while preserving the original and processing settings in local history

Capability details

  • No business upload - Reading, processing, comparison, and export happen in the browser
  • One-click full-photo processing - Upload a photo and run it without extra setup
  • Adjustable colorization - Reduce color strength; inferred colors are not historical facts
  • Re-runnable edits - The original is immutable and every result is recalculated from it
  • Local history - Keep source, result, and editable settings with soft reminders and device quota safeguards

Practical use cases

  • Family archive cleanup - Reduce light fading, dust, and scratches before sharing a copy
  • Black-and-white colorization - Preview plausible colors and review them against reference material
  • Portrait print preparation - Denoise, enhance conservatively, and upscale for larger output
  • Private photo work - Process family photos locally without sending them to a business server

Privacy, rights, and limits

Most processing is designed to run in the browser whenever possible, which makes the tool useful for quick personal or work files. For sensitive, production, or regulated material, test with a sample first and confirm the target platform's format, size, and quality requirements.

Common questions

Are my photos uploaded to a server?

No. Reading, processing, comparison, export, and history storage happen in your browser and device storage. The tool does not upload source photos or results to the business backend.

What kinds of scratches, dust, and damage can it repair?

It is better suited to fading, compression damage, light blur, and low-resolution scans. Long scratches, tears, large missing areas, and complex backgrounds are not guaranteed to be repaired automatically or recover real pixels.

Are colorized black-and-white photos historically accurate?

No. Colorization is a tunable algorithmic preview. It does not prove the historical colors of clothing, skin, skies, or objects from a particular period.

Why should I review faces, text, and large missing areas?

Those areas may not contain enough original information, so the algorithm can only infer plausible-looking details. Review important faces, text, and evidence materials carefully.

Should I repair damage before colorizing?

Usually yes: repair damage first, colorize when needed, and apply conservative enhancement last. The workspace recalculates from the original and lets you disable any step.

Which export formats are available?

PNG and JPG are available. Prefer PNG when you want to avoid another lossy compression step; JPG is useful for smaller sharing copies.