Restore Old Photos with AI
Restore your old photos to full clarity. Include scratches, blur, color loss, and more.
No Images Generated
Flexible Pricing for Nano Banana Pro Generator
Keep your existing purchase flow and unlock nano banana pro generator for one-time and subscription usage.
Starter
Includes
- 500 credits per month
- Priority support
- Advanced features
- Cancel anytime
Pro
Everything in Starter, plus
- 1,500 credits per month
- Premium support
- All features included
- Priority processing
Max
Everything in Pro, plus
- 4,000 credits per month
- Dedicated support
- Custom integrations
Restore Photos at Production Speed
This workflow turns fragile archives into clean digital assets quickly with repeatable quality and less manual retouching.
10x faster than manual scratch and dust cleanup
faster than manual scratch and dust cleanup
90% of images improved after first automated restoration pass
of images improved after first automated restoration pass
4K export-ready quality for print, social, and archive use
export-ready quality for print, social, and archive use
1 flow for color repair, deblur, denoise, and detail recovery
for color repair, deblur, denoise, and detail recovery
Why Teams Use This AI Photo Restoration Tool
To repair old photos consistently, you need clean edges, natural color, and low artifact risk. This page focuses on a practical upload, repair, compare, and export workflow.
Scratch Removal
Cleans dust, creases, and small damage while preserving original structure.
Blur Recovery
Improves facial detail and object edges without pushing heavy oversharpen halos.
Color Revival
Restores faded tones and white balance for natural skin and accurate background color.
Noise Control
Reduces grain and compression artifacts while keeping texture readable.
Batch-Friendly
Supports repeatable output across family albums and business archives.
Export Ready
Generates share-ready visuals for print, web, docs, and memorial projects.
Effect Showcase: Before and After Photo Restoration
These examples show practical outcomes across portraits, product scans, and scene images. Use them to evaluate edge fidelity, skin realism, and color consistency.
Portrait Detail Recovery
Vintage Product Cleanup
Atmosphere and Contrast Repair
Complex Texture Preservation
Color Fading Correction
Fine Edge Deblur
Low-Light Repair
City Archive Refresh
How to Restore Photos with Fewer Revisions
Follow this four-step method to avoid over-processing and scale consistent output across large collections.
Assess Damage
Identify blur, scratches, fading, and color shift before starting so your target is clear.
Run Base Pass
Use the first repair pass for broad cleanup and structure recovery.
Refine by Issue
Adjust one issue at a time, such as skin texture or highlight clipping.
Compare and Export
Check before-after at 100% zoom, then export final versions for archive and sharing.
Photo Restoration Playbook for Better Consistency
Better results come from a repeatable process. Group similar images, run one baseline pass, and refine only files that still need attention. This improves consistency and reduces wasted credits on large archives.
Group by Damage Type
Separate faded, blurry, and scratch-heavy files before processing for more predictable the tool output.
Use a Baseline Pass
Use one consistent first pass across each batch to recover structure and tone quickly.
Protect Skin and Faces
Check faces at high zoom and avoid aggressive sharpening that creates artificial skin texture.
Control Highlights
Recover highlights carefully so bright areas keep detail instead of clipping flat.
Preserve Film Character
Keep gentle texture where needed instead of over-smoothing every image.
Repair Color Cast
Correct yellow or magenta cast to restore natural skin and neutral backgrounds.
Version Final Exports
Save master archive exports and smaller share-ready versions for daily use.
Document Winning Settings
Document winning settings so later the tool batches run faster.
SEO Guide: What Users Expect When They Search Restore Photos
This section matches real search intent with clear quality checkpoints and decision-ready examples.
Intent Match: Fix Old Pictures Fast
Users searching restore photos often need to rescue real archives. They care about natural faces, detail recovery, and predictable revision count. This page answers those practical questions clearly.
Quality Proof: From Damaged to Share-Ready
Strong content explains tradeoffs. People want less blur without harsh halos, better color without neon shifts, and scratch cleanup without texture loss.
Operational Value: Repeatability at Scale
The biggest value appears at batch scale. Repeatable settings and predictable quality reduce rework for families and teams handling many files.
Conversion Path: Learn, Verify, Then Act
This page combines examples, workflow steps, FAQs, and direct access so visitors can evaluate fit and start quickly.
Restore Photos FAQ
Common questions from families, creators, and archive teams.
Start Photo Restoration in Minutes
Upload one old image now and run your first guided restoration pass.