
ArtImageHub vs Facetune for Old Photo Restoration
Facetune vs ArtImageHub for restoring old, damaged family photos. Popular portrait retouching app vs specialized AI restoration — what each does for historical photographs.
Sophie Laurent
ArtImageHub vs Facetune for Old Photo Restoration
Facetune is one of the most popular portrait retouching apps — millions of users use it to enhance selfies and modern portraits. ArtImageHub is a specialized AI pipeline for old photo restoration. Both touch faces and improve photographs; they're built for entirely different problems.
What Facetune Does
Facetune is a modern portrait enhancement app with a focus on skin, face, and body:
Portrait tools:
- Smooth: skin smoothing and blemish removal
- Whiten: teeth and eye whitening
- Reshape: face slimming, nose and jaw adjustment
- Retouch: detailed skin retouching
- Makeup: virtual makeup application
Photo editing:
- Filters and effects
- Background blur
- Light and color adjustments
AI features (Facetune AI):
- AI Face Retouch: automated skin smoothing and enhancement
- AI Backdrop: AI background generation
- AI Reshape: AI-guided body and face reshaping
Facetune is designed for modern smartphone photography — high-resolution digital photos where faces are clearly captured and the goal is cosmetic enhancement.
Why Facetune Doesn't Work for Old Photos
It's designed for modern portrait photography. The models underlying Facetune's face enhancement are trained on contemporary digital photos — clear skin texture, modern lighting, high resolution. When applied to old photographs:
- The skin smoothing tools work on whatever texture is present — they smooth the degraded, faded texture of old photo paper, not skin
- The whitening tools adjust brightness in targeted areas — they don't restore original tonal values lost to decades of fading
- The reshape tools work on detected facial landmarks — difficult to detect accurately on heavily degraded 1940s portraits
No damage removal: Facetune has no tool for removing scratches, water stains, or physical damage from old prints.
No systematic fading correction: Facetune's brightness adjustments are local and face-focused — not the systematic historical photographic paper fading correction that GFPGAN provides.
No colorization: Facetune cannot colorize black-and-white photos.
Comparison
| Factor | Facetune | ArtImageHub | |--------|----------|-------------| | Cost | Free (limited) / $5.99/month | $4.99 one-time | | Platform | iOS/Android app | Browser-based | | Target use case | Modern selfie/portrait enhancement | Old photo restoration | | Historical face reconstruction | ❌ Modern face tools only | ✅ CodeFormer | | Fading correction | ❌ No | ✅ GFPGAN | | Scratch removal | ❌ No | ✅ Yes | | Colorization | ❌ No | ✅ Yes | | Subscription required | For most features | No |
When Facetune Makes Sense with Old Photos
After restoration: Once an old photo is restored and digitized at HD quality, Facetune could theoretically apply cosmetic enhancements — if that's desired. Most people restoring historical family photos want faithful recovery, not cosmetic modification.
For modern photos: Facetune is excellent for what it's designed for — modern portrait enhancement for social media and personal use.
Bottom Line
Facetune is a category leader in modern portrait retouching. Old photo restoration isn't its category. For historical photographs with fading, scratches, and lost face detail, CodeFormer-based restoration produces results that Facetune's tools can't approach — because the underlying models are built for completely different types of image degradation.
Restore your old family photos at ArtImageHub — $4.99 one-time →
Results in 30–90 seconds · HD download · 30-day guarantee
Related
- ArtImageHub vs Snapseed — free mobile editor comparison
- How to Restore Old Photos on iPhone — iOS restoration guide
- How to Restore Old Photos on Android — Android restoration guide
- Best AI Tools for Old Photo Restoration in 2026 — 7-tool ranked comparison
About the Author
Sophie Laurent
Consumer Tech Reviewer
Sophie reviews consumer photo tools and AI applications for mainstream users. She tests tools on real use cases, not controlled benchmarks.
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