Blurry picture in · Sharp result out · Free, no software
HD Photo Converter
Upload one blurry or low-quality picture and convert it into a sharp, high-definition image — keep the moment, recover the detail, no editing skills needed.
One blurry snapshot, restored
A real sharpening pass, produced by the model behind this page. Drag the divider to compare the original phone snapshot with the restored result — the face, the hair, the jacket, and the signs down the street all come back. Every output is AI-generated, so your result varies with the file you start from; treat this as a preview of what the tool can do, not a fixed outcome.
Drag to compare before and after
What is an HD photo converter?
It is not a sharpening slider. A picture the camera got wrong — soft focus, heavy grain, a washed-out phone snapshot from years ago, a screenshot re-saved a dozen times — is rebuilt as a clean, sharp image rather than have its existing edges pushed harder.
The model reads what the subject actually is, then redraws skin texture, hair strands, fabric weave and edges at a detail level the original file never held, while keeping the same person, the same pose and the same background. That is a different operation from sharpening, which can only exaggerate the detail already present. You start from your uploaded file — the flow defaults to image-to-image — pick the resolution, and the credit estimate updates before you commit.
A failed run is refunded automatically unless it broke the content policy, so a second pass is free to try.
Creative engine
How the restore comes together
Upload a picture, pick the output resolution, and the credit estimate updates before you generate.
Detail rebuilt, not sharpened
Upload one soft or noisy file and the model reads the subject, then reconstructs the detail rather than raising local contrast around the mush that is already there. Sharpening a blurred face gives you a crisp blur; this gives you a face.
Artefacts out, texture back
Blur, grain and compression blocking come out; skin, hair, fabric and edges come back. The one thing to check is identity — reconstruction invents detail, so on a very small source it can drift, and the fix is a larger original if you have one.
Pick the resolution, check the credit estimate, and generate; a run that fails costs you nothing, so a second pass is free to try. An HD photo upgrade assumes the picture is intact. If it is creased or torn, old photo restoration repairs the damage first, and the model comparison shows which engine to pick for either job.
Convert a picture in three steps
From one soft file to a sharp result, with the cost shown before you commit.
Upload the picture
Add the file you want rebuilt. Old phone snapshots, scans, screenshots, and compressed downloads all work — the softer it is, the more obvious the change.
Say what to fix
Name the problem: remove the blur, kill the noise, recover the face, correct the washed-out colour. Naming it steers the pass instead of leaving it to guess.
Check credits and generate
Pick a higher resolution if you are going to print, confirm the estimate, and generate. A failed run is refunded (unless it broke the content policy), so you can adjust and go again.
Who rescues a picture that came out soft
Old phone photos, screenshots, a good shot ruined by a shaky hand.
Old family snapshots
Bring back a photo taken on a phone that had no business being called a camera, so it can finally be printed and framed.
Sellers & listings
Rescue a product shot that came back soft, or a supplier image that arrived as a compressed thumbnail, without reshooting it.
Profiles & posts
Fix the picture that looked fine until someone zoomed in — the one you actually want as an avatar or a header.
HD converter FAQ
Common questions about rebuilding a blurry picture with Kavel.
Not quite, and the difference matters. A classic upscaler enlarges what is already there and guesses between the pixels. This model re-reads the subject and redraws the detail — skin texture, hair, fabric, edges — so it can recover things the original file genuinely did not contain. That also means it is making an informed guess, not uncovering hidden truth.
Soft focus, grain, a washed-out phone photo, a screenshot saved a dozen times — all fine, and those are where the change is most dramatic. What it cannot do is invent a face that is a smear of six pixels. If a human cannot tell who is in the picture, neither can the model.
That is the constraint it works under: same person, same pose, same background. But be honest with yourself about what recovery means — where the original detail is truly gone, the model is reconstructing a plausible version of it, so fine features can shift slightly. The blurrier the start, the more that applies.
Yes, and it is one of the better uses. Scans of old prints carry grain, dust, and colour shift, and the pass can clear all three in one go. Scan at the highest setting your scanner offers before you upload — you cannot restore what you never digitised.
1K is fine for a screen or a post. If the result is going to a printer or a large canvas, choose 2K or 4K before you generate — the higher setting costs more credits, but re-running it later costs more than getting it right the first time.
Yes. Products, documents, pets, landscapes, screenshots — anything where the file is softer than the subject deserves. Text is the one weak spot: small lettering can come back subtly wrong, so check any words in the frame before you rely on the result.
Kavel pricing — pay only for what you generate
Credits are shared across everything Kavel runs. You see the cost before each run, and a failed job is never charged.
Free
What's included
- Free credits before you even sign up — no account needed
- A sign-up bonus the moment you create one
- Daily check-in credits that climb through the week
Secure checkout by Stripe. Card details never touch our servers.
Starter
What's included
- Videos from $0.15 · images from $0.02
- 3,150 credits per month
- Up to 210 videos or 1,570 images a month
Secure checkout by Stripe. Card details never touch our servers.
Creator
What's included
- Videos from $0.13 · images from $0.017
- 7,200 credits per month
- Up to 480 videos or 3,600 images a month
Secure checkout by Stripe. Card details never touch our servers.
Studio
What's included
- Videos from $0.12 · images from $0.016
- 13,200 credits per month
- Up to 880 videos or 6,600 images a month
Secure checkout by Stripe. Card details never touch our servers.
Charges appear as “KAVEL AI” on your card statement. You can cancel any time from Settings → Billing; cancellation takes effect at the end of the period you already paid for. Operator details, the full model list, and the refund window are on the about page.
More repairs for a difficult photo
Other ways to change how a picture looks.
Rescue a picture that came out soft
The detail comes back rebuilt, not sharpened. Zoom in on a face before you decide it worked.