Best AI Photo Restoration Tools (2026): A Practical Comparison
Which tools actually work for old family photos — and what each one is best for.
AI photo restoration has reached a point where severely damaged photographs can be meaningfully repaired by anyone, without specialist software skills. Scratches, tears, fading, water damage, and missing sections are all addressable. Black-and-white photographs can be colourised with period-appropriate results.
The tools are not equal. They split into two schools with fundamentally different philosophies — and choosing the wrong one for your use case produces either an over-processed result or an incomplete repair.
This guide covers the tools worth using in 2026, organised by what you are actually trying to do.
Two Schools of Restoration: Know Which One You Need
Before comparing tools, understand the distinction that determines your choice:
Faithful restoration — the tool repairs and enhances what is actually in the photograph. Detail is recovered, not invented. The result is a cleaner version of the original image. Tools in this school: Topaz Photo AI, Remini, MyHeritage Photo Enhancer.
Creative restoration — the tool fills in missing or destroyed areas by generating plausible detail. Useful for severely damaged photographs where large sections are lost. The result is an interpretation, not a recovery. Tools in this school: Adobe Firefly (Photoshop generative fill), Magnific.
For most family archives — photographs with scratches, fading, and moderate damage — faithful restoration tools are the correct choice. Creative tools become relevant when physical sections of the photograph are missing entirely.
One rule applies regardless of which tool you use: always restore from your archival master copy, and save the restored version separately. Never overwrite the original scan.
The Tools
1. Topaz Photo AI — Best overall for desktop
Best for: Serious restoration work, large collections, maximum quality
Topaz Photo AI combines sharpening, noise reduction, upscaling, and dedicated dust and scratch removal in a single desktop application. It is the most capable tool for faithful restoration of old photographs, producing results that preserve the character of the original image rather than smoothing it into artificial uniformity.
The workflow is non-destructive: adjustments apply as a stack and can be revised before exporting. Batch processing handles collections of hundreds of photographs efficiently.
Limitations: Subscription-only pricing (approximately €30–60/month). No mobile version. Requires a capable computer — AI models run locally.
Best for: Anyone building a serious family archive who will process a significant volume of photographs over time.
2. Remini — Best for mobile and portraits
Best for: Quick restoration on mobile, photographs with faces
Remini specialises in face reconstruction and portrait enhancement. For old photographs where faces are the primary subject — and where blur, fading, or damage has degraded facial detail — it produces results that other tools cannot match. Available as a mobile app (iOS and Android) and as a web application.
Limitations: Less effective on non-portrait photographs. Can over-smooth skin texture if enhancement is pushed too high. Subscription model with a limited free tier.
Best for: Restoring portraits quickly, particularly on mobile.
3. MyHeritage Photo Enhancer — Best for colourisation
Best for: Family history projects, black-and-white colourisation, sharing with relatives
MyHeritage combines enhancement, colourisation, and the In Color feature — automatic colourisation trained on period-appropriate colour references. Results are more historically plausible than general-purpose colourisation tools. The photo animation feature adds subtle movement to still portraits, which has no archival value but is consistently appreciated by family members.
Limitations: Enhancement quality is lower than Topaz for complex damage. Privacy considerations apply — photographs upload to MyHeritage servers.
Best for: Colourising black-and-white photographs and sharing within a family context.
4. Adobe Photoshop (Generative Fill) — Best for severe damage
Best for: Photographs with missing sections, large tears, or destroyed areas
Photoshop’s generative fill reconstructs missing sections by generating contextually plausible content. For a photograph with a torn corner or a section that has deteriorated completely, this is the only accessible tool that produces a visually complete result.
The trade-off is clear: generated content is an interpretation. The reconstructed area did not exist in the original — it is the AI’s best approximation. The original scan must be preserved separately.
Limitations: Creative Cloud subscription required (€25+/month). Significant learning curve. Generative results require manual review.
Best for: Photographs with severe physical damage where faithful restoration tools cannot produce a usable result.
5. VanceAI Photo Restorer — Best for occasional use
Best for: Users restoring a finite collection rather than maintaining an ongoing workflow
VanceAI uses credit-based pricing — pay per image rather than subscribing. For a defined project (restoring a family album over a few weeks), this is more economical than a monthly subscription. Quality is solid for standard damage, with a straightforward web interface requiring no installation.
Limitations: Quality ceiling is lower than desktop tools for heavily damaged photographs. Cloud-based processing.
Best for: A defined restoration project where a subscription would be disproportionate.
Comparison Summary
| Tool | Best use case | Pricing | Runs locally? |
|---|---|---|---|
| Topaz Photo AI | Large collections, maximum quality | Subscription €30–60/mo | Yes |
| Remini | Portraits, mobile | Subscription + free tier | No |
| MyHeritage | Colourisation, genealogy | Per-photo + subscription | No |
| Photoshop | Missing sections, severe damage | Subscription €25+/mo | Partially |
| VanceAI | Occasional / defined projects | Credit-based | No |
The Correct Restoration Workflow
Regardless of tool, follow this sequence:
1. Start from your archival TIFF master — never restore from a compressed JPEG if a TIFF exists.
2. Restore before upscaling — upscaling damage makes it larger and harder to repair. Sequence: restore → upscale.
3. Save the restored version as a separate file — the archival master remains untouched.
4. Review at 100% zoom before saving — AI tools occasionally introduce artefacts at edges or over-smooth textures. Check before accepting.
A Note on Colourisation
Colourisation converts black-and-white photographs to colour. Current AI models produce convincing results for skin tones, foliage, and natural materials — but the output is always an interpretation. For sharing and display, colourisation adds significant impact. For archival purposes, keep it clearly separate from the original scan as a creative derivative.
MyHeritage In Color and Palette.fm are the current leaders for accessible colourisation without specialist software.
Further Reading
- How to digitise old family photos at home — the starting point before restoration
- How to build a digital family archive — organising and storing your restored collection
ADOCHS applies heritage digitisation standards to personal family archives. Start preserving your collection →