Blurry picture in · Sharp result out · Free, no software
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.
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
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. On Kavel it runs on the Nano Banana image model, so a restored picture comes back in one generation rather than an afternoon in a photo editor.
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 attempt costs nothing but time. It suits an old family snapshot you want to print, a product shot that came back soft, or a profile picture that falls apart the moment anyone zooms in.
And because the same studio also changes hair, swaps outfits, and restyles portraits, one workflow covers a range of edits without a new tool for each. Think of it less as a filter and more as a restorer — with your own moment in the frame, only legible again.
Creative engine
Upload a picture, pick the output resolution, and the credit estimate updates before you generate.
Upload one soft or noisy file and the model reads the subject, then rebuilds the detail rather than simply sharpening the pixels.
Blur, grain, and compression artefacts come out; skin, hair, fabric, and edges come back.
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.
From one soft file to a sharp result, with the cost shown before you commit.
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.
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.
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.
Old phone photos, screenshots, a good shot ruined by a shaky hand.
Bring back a photo taken on a phone that had no business being called a camera, so it can finally be printed and framed.
Rescue a product shot that came back soft, or a supplier image that arrived as a compressed thumbnail, without reshooting it.
Fix the picture that looked fine until someone zoomed in — the one you actually want as an avatar or a header.
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.
One credit pool covers Nano Banana images and Seedance and Veo video. The cost shows before every run, and failed jobs are not charged. Use a subscription for ongoing work, or a one-time pack when you just need to top up.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
One-time top-ups — buy extra credits any time you run low.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
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.
Powered by
Use one balance across every supported image and video model — eleven of them today, listed below — and check the credit cost before each request.
Video models
Image models
Model credit guide
You're only charged for successful generations. The exact estimate in the generator varies by model, length, resolution, audio, and number of images.
| Type | Model | Credit cost |
|---|---|---|
| Video | Seedance 2.5 | The long-take tier, priced per second: 5s 480p ≈ 211 credits, 5s 720p ≈ 473. A full 30s take runs ≈ 1,260 at 480p and ≈ 2,835 at 720p. Supplying a reference clip lowers the per-second rate. |
| Video | Seedance 2.0 | 5s 720p image-to-video ≈ 188 credits; text-to-video ≈ 308 credits. Scales with resolution and length. |
| Video | Seedance 2 Fast | Faster and lower cost. 5s 720p text-to-video ≈ 248 credits. |
| Video | Seedance 2 Mini | The cheapest Seedance tier. 5s 720p ≈ 154 credits, 5s 480p ≈ 72 credits. |
| Video | Seedance 1.5 Pro | Audio doubles the rate. 5s 720p ≈ 27 credits silent, ≈ 53 with audio; 1080p ≈ 57 and ≈ 113. |
| Video | Veo 3.1 | Billed per video, not per second (Lite tier). About 45 credits at 720p and 53 at 1080p. |
| Video | Kling 3.0 | Audio raises the rate. 5s 720p ≈ 105 credits silent, ≈ 150 with audio; 1080p ≈ 135 and ≈ 203. |
| Video | MiniMax H3 | Fixed 2K, no resolution ladder. Priced per second — a 5s clip ≈ 158 credits. |
| Image | Nano Banana 2 | Generate or edit from text and images. About 8 credits per 1K image, 12 at 2K, 18 at 4K. |
| Image | Nano Banana Pro | Consistent run times across generations. About 12 credits per 1K or 2K image, 21 at 4K. |
| Image | Nano Banana 2 Lite | Faster, simpler variant. A flat 8 credits per image at every resolution. Start here to test. |
| Image | GPT Image 2 | The lowest-cost image model here. About 3 credits per 1K image, 6 at 2K, 12 at 4K. |
| Image | Seedream 5.0 Lite | Flat pricing — about 8 credits per image whether you generate or edit. |
Other ways to change how a picture looks.
The detail comes back rebuilt, not sharpened. Zoom in on a face before you decide it worked.
A real edit made with this tool — drag your own photo in on the left, the prompt is already written, then press Generate.
