How to Improve Old Photo Quality with AI (2026): 7 Tools Tested
I tested 7 AI tools to improve the quality of old family photos. Remini, Topaz, jpgHD, VanceAI: an honest verdict with pricing and real results.
Thomas Moreau
AI & Technology Writer, Incarn
TL;DR
After testing 7 AI tools on around twenty old family photos (1940–1980): Remini wins for portraits — sharp faces in 30 seconds, free on mobile. Topaz Photo AI delivers the best results on group photos and landscapes but costs $199. jpgHD is the best free option with no sign-up required. Golden rule: improving resolution before animating produces a noticeably more realistic result with fewer face distortions.
TL;DR: After testing 7 AI tools on around twenty old family photos: Remini wins for portraits (sharp faces in 30 seconds, free). Topaz Photo AI is the best for group photos but costs $199. jpgHD is the most reliable free option with no sign-up required. An enhanced photo before animation produces a noticeably more realistic result.
A photo from 1965, run through a scanner. It comes out with a bluish blur, lost details, a resolution of 400 pixels wide. It isn't damaged. Not scratched. Just blurry and low resolution.
This is the case for the vast majority of family photos: the problem isn't physical deterioration — it's the image quality itself. AI image enhancement tools are built exactly for this. Not to "restore" in the sense of retouching scratches, but to reconstruct sharpness, upscale resolution, and recover lost detail.
I tested 7 of them on real family photos. Here's what works.
Why Improve the Quality of an Old Photo
Old family photos rarely suffer from just one problem. Usually it's a combination of three:
Low resolution. A 4×6 inch print scanned on a standard desktop scanner produces 300 to 600 pixels wide. That's not enough to print, animate, or display properly on a modern screen.
Blur and grain. Manual focus, slow shutter speeds, high-sensitivity film — film photography from the 1950s–1970s had its constraints. Sixty years later, the details fade.
Flattened dark areas. Black clothing, poorly lit interiors, deep shadows: these areas often turn into a uniform flat tone in old prints.
What Image Enhancement Changes for Animation and Printing
Two main use cases.
Before animating. An AI animation algorithm reconstructs movement from the information present in the source image. The sharper and more detailed the image, the more realistic the result. Animate a blurry photo and you get shaky edges, frozen expressions, and unnatural movement. The same photo upscaled produces fluid motion and faithful expressions.
Over 12,000 photos have been animated on Incarn since launch. The difference in results between an upscaled photo and a raw photo is visible every time — especially on faces.
Before printing. A quality A4 print requires around 2480 × 3508 pixels. Starting from a 400-pixel photo and expecting a sharp print is a lost cause without upscaling first.
The 7 Best AI Tools Tested in 2026
Remini (mobile, free + premium)
The most widely used tool for portraits. Remini specializes in face reconstruction: it identifies facial features and restores them with remarkable sharpness, even in heavily degraded photos.
Results: a 1962 wedding photo, 80 pixels wide, dark and blurry. Remini produced a recognizable face in under 30 seconds. The background stayed blurry, but the faces were sharp.
Advantages: free in a limited version (1–2 enhancements per day), simple interface, available on iOS and Android.
Limitations: backgrounds often remain blurry. On photos without faces, results are disappointing.
Pricing: free (limited) / around $10/month or $45/year for the premium version.
Topaz Photo AI (desktop, paid)
The benchmark for professional upscaling. Topaz Photo AI combines upscaling, denoising, and sharpening in a desktop interface. It can multiply resolution by 4× or 6× without introducing visible artifacts.
Results: a 1953 family reunion photo, 400 pixels wide, with heavy grain. Resolution jumped to 2400 pixels, details reconstructed, grain eliminated. The best result in the test for group photos.
Advantages: the most versatile tool in the test, excellent across all photo types (portraits, landscapes, groups, architecture).
Limitations: expensive, slow on machines without a recent GPU.
Pricing: $199 one-time purchase, or a subscription at around $70/year.
jpgHD (web, free)
A web tool specialized in old photos. No sign-up required: upload, wait 30 seconds, download.
Results: solid on black-and-white photos with moderate grain. Less convincing on very blurry or very low-resolution photos.
Advantages: free, no sign-up, fast, specialized for old photos.
Limitations: no control over parameters. Pricing: free.
VanceAI (web, freemium)
An online tool suite covering upscaling, denoising, and photo restoration. The interface lets you chain multiple processes in sequence.
Results: solid on photos that are in decent shape to begin with. The "Old Photo Restoration" mode is well-suited for old photographs.
Pricing: 3 free trials, then around $9/month for 200 credits.
YouCam Enhance (mobile, freemium)
A mobile app developed by Perfect Corp. Solid on portraits, with a simple interface aimed at general consumers.
Results: good on individual portraits. Inconsistent on group photos.
Pricing: free (with ads) / around $4/month for the pro version.
Adobe Lightroom (desktop + mobile, paid suite)
Since 2024, Lightroom has integrated AI features: Super Resolution, AI Denoise, and AI Sharpen. If you already have an Adobe Creative Cloud subscription, this is the natural choice.
Results: AI Denoise ranks among the best in the test for heavily grainy photos.
Pricing: included in Creative Cloud Photography plan starting at $10/month.
Upscayl (desktop, free and open source)
The free, open-source alternative for those who don't want to upload their photos to third-party servers. Runs locally on your machine.
Results: decent on photos in good condition. Falls short of Topaz on difficult cases.
Pricing: completely free.
Quick Comparison Table
| Tool | Best for | Free? | Portraits | Landscapes/Groups |
|---|---|---|---|---|
| Remini | Portraits, faces | Yes (limited) | Excellent | Average |
| Topaz Photo AI | All types | No ($199) | Very good | Excellent |
| jpgHD | Old photos | Yes | Good | Good |
| VanceAI | Upscaling + multi-processing | 3 trials | Good | Good |
| YouCam Enhance | Mobile, portraits | Yes (limited) | Good | Average |
| Adobe Lightroom | Pros, existing subscribers | No ($10/month) | Very good | Very good |
| Upscayl | Desktop without cloud | Yes | Decent | Decent |
How to Improve an Old Photo: Step by Step
Scan at high resolution first. If you're starting from a print, scan at a minimum of 600 dpi. 1200 dpi if the photo is small.
Identify the main problem. Motion blur and portraits: start with Remini. Heavy grain: Topaz or Lightroom. Low resolution on an otherwise good photo: jpgHD or Upscayl. All three combined: Topaz Photo AI.
Start with the free tools. jpgHD or Remini cover 80% of common needs.
Don't chain multiple tools. Each pass introduces new artifacts.
Always keep the original.
Frequently Asked Questions
What is the difference between upscaling and restoration?
Upscaling increases resolution and improves the overall sharpness of an image that is in generally good condition. Restoration repairs physical damage: scratches, stains, tears. For a photo that is both scratched and blurry, you need both: restoration first, then upscaling.
Can these tools invent details that weren't there originally?
Upscaling algorithms reconstruct pixels based on statistical patterns. They extrapolate. On faces, the reconstruction is reliable. On fine text or logos, artifacts can appear.
Should I enhance quality before animating on Incarn?
Recommended, but not required. Animation works on raw photos, but the quality is noticeably better with a sharp, detailed image. The free trial (1 credit offered at sign-up, then $1.99 per animation) lets you test it and see the difference for yourself.
Thomas Moreau
AI & Technology Writer, Incarn
Thomas covers AI and machine learning applications for creative tools. Former research engineer with a focus on computer vision and video generation.
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