Tech

What AI Photo Enhancers Can and Can't Fix: Old Photos, Screenshots and Prints

AI upscalers can make small photos look surprisingly sharp, but they are not magic. Here's what AI photo enhancers really do, where they shine, where they invent detail, and how to get the best result from an old photo.

By Harika Behara 31 Oct 2026 · 4 min read 1 view Rate it 0 comments

AI photo enhancers are best at making small but clear images bigger and crisper: old phone photos, chat forwards, screenshots and thumbnails. They are poor at rescuing badly out-of-focus or shaken shots, because they can only predict detail, not recover it. Expect cleaner edges and readable text, not a brand-new photo.

Social media is full of dramatic “before and after” upscales that make it seem any blurry picture can become a studio portrait. Then you try it on your grandmother's tiny scanned photo and get a face that looks slightly unlike her. Understanding what these tools actually do helps you use them well, and know when not to.

How Do AI Upscalers Work?

Traditional resizing stretches pixels and averages between them, so enlarged images look soft. AI upscalers like ESRGAN have been trained on many image pairs to learn what natural edges and textures look like at higher resolution. ESRGAN, short for Enhanced Super-Resolution Generative Adversarial Networks, was published in 2018 and placed first in the PIRM2018 super-resolution challenge (paper on arXiv). The H View AI Photo Enhancer runs an ESRGAN model in your browser at 2× or 4×.

What Can It Fix, and What Can't It?

Works well	Struggles
Small but sharp photos that need to be bigger	Photos that are out of focus
Screenshots and text that looks pixelated	Motion blur from a shaky hand
Images saved from chats at low resolution	Faces only a few pixels wide
Logos and graphics that need a larger version	Heavy damage: tears, stains, missing parts

Also readHow to Upscale a Small or Blurry Photo 2× or 4× With Free AI

Why Might a Face Look “Different” After Upscaling?

When very little information exists, the model fills gaps with patterns that look natural in general, not necessarily what that person looked like. For small faces, that can subtly change eyes or teeth. For important family photos, use 2× rather than 4×, compare with the before-and-after slider and keep the original alongside the enhanced copy.

How Do I Get the Best Result?

Start with the best source you have. Rescan a printed photo at a higher resolution rather than upscaling a phone photo of it.
Crop first to the part you care about, so the model works on fewer pixels.
Use 2× for photos up to about 1,500 pixels wide, and 4× only for small images up to about 750 pixels.
Save as PNG. As MDN notes, PNG is lossless, so the restored detail isn't lost again to compression.
Resize to the final dimensions with the Image Resizer.

Her View

Old family photos carry stories that no one else can retell. It is lovely to see them sharper, but I'd always keep the original too. The faint, imperfect version is the true one; the enhanced copy is for printing and sharing.

Also readOCR for Students and Offices: Turning Notices, Notes and Old Documents into Editable Text

His Insight

Honesty matters with AI images. An upscale is a reconstruction, which is fine for a family album or a presentation, but don't use AI-enhanced photos as evidence, for identity verification or where accuracy is critical. For ID and exam photos, retake a fresh photo instead and use the Passport & Exam Photo Maker.

H View Verdict

AI photo enhancers are excellent for small, clear images and screenshots, and limited for blur and damage. Start with the best source, prefer 2× for faces, compare before saving and always keep the original. Free and private in your browser.