What Works and How Well
Not all restoration tasks are equal. Here is how AI performs across the most common types of work.
| Area | Quality | Notes |
|---|---|---|
| Scratch & dust removal | Excellent | Surface damage is reliably removed, even dense scratch patterns across entire prints. |
| Fading & contrast recovery | Excellent | Recovers tone and contrast from badly faded prints, including color cast correction. |
| Upscaling (2×) | Very good | Recovers genuine detail from low-resolution scans. Best with 300+ DPI source files. |
| Face enhancement (mild blur) | Very good | Sharpens soft facial features in portraits. Works best on faces that are recognizable but soft. |
| Colorization | Good | Produces plausible color. Best on outdoor scenes, portraits, and group photos. Not historically precise. |
| Tear & crease repair | Good | Fills gaps with plausible content. Backgrounds and simple areas work well; faces through tears are harder. |
| Severe damage (water, mold, missing areas) | Variable | AI fills in plausible content but cannot recover detail that no longer exists. Results depend on severity. |
| Heavily blurred faces | Use with caution | May generate a plausible but incorrect face. Always compare with the original. |
Surface damage is reliably removed, even dense scratch patterns across entire prints.
Recovers tone and contrast from badly faded prints, including color cast correction.
Recovers genuine detail from low-resolution scans. Best with 300+ DPI source files.
Sharpens soft facial features in portraits. Works best on faces that are recognizable but soft.
Produces plausible color. Best on outdoor scenes, portraits, and group photos. Not historically precise.
Fills gaps with plausible content. Backgrounds and simple areas work well; faces through tears are harder.
AI fills in plausible content but cannot recover detail that no longer exists. Results depend on severity.
May generate a plausible but incorrect face. Always compare with the original.
The Face Hallucination Problem
This is the most important limitation to understand. When a face in a photo is severely blurred, damaged, or very small, AI fills in plausible features based on patterns it has learned — not based on the actual person.
The result can look like a convincing photograph of someone who resembles the original subject, but is not them. Restored communities describe this as getting back “someone who might be the cousin of the person in the photo.”
Common Misconceptions
AI can perfectly restore any photo
AI is a best-effort approximation. Severely damaged or very low-quality photos may produce results with artifacts or invented detail. Quality of the input scan is the single biggest factor.
Colorization is historically accurate
AI infers colors from patterns — it does not know what color your grandmother's dress actually was. Treat colorization as a plausible suggestion, not a historical fact.
One click fixes everything
The best results come from using the right tools in the right order, starting with a good scan. Diagnosis before restoration, review after — this guided approach produces more trustworthy results than a single magic button.
AI restoration replaces professional conservators
For archival-grade preservation of extremely valuable or fragile originals, a professional conservator is still appropriate. AI restoration is excellent for family photo collections — the 99% of photos that need care but not museum-grade treatment.
Enhancement vs. Restoration vs. Generation
These terms are often used interchangeably, but they mean different things:
Most AI tools — including Nostalgia — do all three to varying degrees. Nostalgia's diagnosis report tells you what kind of work each tool will do on your specific photo, so you know what to expect before you start.
How to Get the Most Trustworthy Results
- 1Start with the best scan you can get
AI cannot recover detail that was never captured. A 600 DPI flatbed scan gives the AI 16× more data than a 150 DPI phone snap.
- 2Read the diagnosis report
It tells you the photo's condition, what damage was detected, and which tools are recommended. This saves unnecessary steps and sets expectations.
- 3Follow the recommended tool order
Restore first, then optional extras. Each step builds on the previous one for better results.
- 4Review faces carefully
Zoom in and compare before/after. Faces are where AI is most impressive and most fallible.
- 5Keep your original scan
The original is your source of truth. Nostalgia preserves both versions, but keep local backups too.