Photo restoration online free — restore old photos with AI. Enhance quality, remove scratches and damage in seconds.
Original photo
Click or drag & drop a photo
JPG, PNG, WebP · until 5 MB
Изображение отправляется на сервер для обработки ИИ
Result Done
Result will appear here
Обработка идёт в фоне — можно перейти на другую страницу. Обычно 5–15 секунд, первый запуск до 1–2 минут
Comparison: before and after
Upload an old or damaged photo (JPG, PNG or WebP up to 5 MB) and click "Restore photo".
The GFPGAN neural network restores facial details, removes noise, scratches and damage. Processing takes 5–15 seconds.
Scale — choose 1x for restoration at original size or 2x for simultaneous 2x upscaling.
Comparison — after processing, use the Before/After slider to compare the original with the restored version.
Photo restoration: 10 credits per use. Available with subscription or credits.
Photo Restoration Online — Restore Old Photos with AI for Free
Enhance old photo quality, remove scratches, restore facial details — the GFPGAN neural network does this automatically in 5–15 seconds. Photo restoration online for free, no signup, no software installation.
How AI Photo Restoration Works
AI photo restoration automatically improves image quality using neural networks. Unlike manual retouching in Photoshop, the AI analyzes the entire image and restores details based on training on millions of photographs:
- Damage detection — the neural network identifies scratches, noise, blur, compression artifacts
- Face recognition — GFPGAN specializes in face restoration: eyes, nose, mouth, skin texture
- Detail generation — the AI reconstructs lost details based on context and training data
- Resolution enhancement — at 2x scale, the image doubles in size with added detail
GFPGAN — Face and Detail Restoration
GFPGAN (Generative Facial Prior GAN) is a neural network from Tencent ARC specializing in photo restoration, particularly faces. The model uses a generative prior (pre-trained knowledge about facial structure) to restore realistic details even on severely damaged photos.
GFPGAN also works well on general photos: landscapes, architecture, text — removing noise, enhancing sharpness, and restoring details.
What the Neural Network Can Restore
| Damage Type | Restoration Quality | Notes |
|---|---|---|
| Scratches and cracks | Excellent | Works without additional settings |
| Noise and grain | Excellent | Especially effective on old photos |
| Blur | Good | Restores sharpness, especially on faces |
| JPEG artifacts | Good | Removes blockiness and halos |
| Damaged faces | Excellent | GFPGAN's main specialization |
| Fading | Good | Restores contrast and tonal range |
Restoration Methods Compared
| Method | Speed | Cost | Face Quality | Skills Needed |
|---|---|---|---|---|
| GFPGAN (UseToolz) | 5–15 sec | Free | High | None |
| Photoshop (manual) | 1–4 hours | $22/mo | Depends on skill | Advanced |
| Professional retoucher | 1–7 days | $50–300 | High | Expert |
| Mobile apps | 10–30 sec | $5–15/mo | Medium | Basic |
Tips for Best Results
- Scan at high DPI — for printed photos, scan at minimum 300 DPI for best results
- 2x scale — use for small photos to simultaneously enlarge and enhance
- 1x scale — for normal-sized photos when only quality improvement is needed
- Combine tools — restoration + colorization + upscaling = complete recovery
FAQ
How much does photo restoration cost?
Photo restoration costs 10 credits per use. Available with a subscription (from 499 ₽/mo) or one-time credit packs (from 149 ₽ for 100 credits).
How do I restore an old photo?
Upload your photo (JPG, PNG, or WebP up to 5 MB), choose scale (1x or 2x), click "Restore". The GFPGAN neural network will automatically restore details, remove noise and scratches in 5–15 seconds.
Can it remove scratches?
Yes. GFPGAN effectively removes small to medium scratches. Deep damage may be partially repaired.
Does it work with damaged faces?
Yes, this is GFPGAN's main specialization. It restores eyes, nose, mouth, and skin texture even on severely damaged portraits.
What's the difference between 1x and 2x?
1x restores at original size (quality improvement only). 2x doubles the resolution while adding detail. Use 2x for small photos.
See also: Colorize Photo · AI Upscaler · Background Remover · Image Compression · Resize
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