You get the real result, not a blurry preview.Free means the full-size restored photo — the same file a paid tool would sell you.
Faded prints, blurry scans, low-resolution snapshots from an old phone: drop them in and watch the detail come back. No software to install, no account, no watermark.
One photo at a time here. Need a batch, a different mode, or the before/after slider? Open the full tool.
Restore a photo now →Old photographs lose sharpness for all kinds of reasons: prints yellow and fade with age, scans soften fine detail, and early digital cameras simply couldn't capture much resolution. PicReviver uses an advanced image model trained on millions of photos to rebuild the detail that's been lost: sharpening edges, recovering texture in faces and clothing, and cleaning up the soft, washed-out look of an ageing picture, without making it look over-processed.
A print that's been handled for decades picks up a map of its own history: fine surface scratches, white crease lines where it was once folded, hairline cracks in the emulsion. The tool treats these the way it treats any lost detail: it reads the intact area around each mark and rebuilds what the surface underneath most likely looked like. Thin scratches and light creases usually soften away almost completely, because there's plenty of surrounding detail to work from. A deep crease running straight through a face is harder: there's less to go on exactly where the damage is worst, so you'll see a real improvement rather than a flawless repair. The one thing no tool can do is invent a piece that's physically gone. If a corner has been torn away or a chunk is missing, there's no detail left there to rebuild from, and restoration only works with what's still in the photo.
Water is one of the most common ways old photos get ruined: a leaky box in the attic, a flood, a spilt drink. It leaves tide-lines, cloudy blooms and brown or yellow staining, and it often lifts the colour unevenly, so one part of a picture looks bleached while another goes dark. Fading works slowly in the same direction: sunlight and time wash the contrast out until faces go flat and grey. Restoration tackles both by rebuilding the contrast and texture the damage flattened, pulling detail back out of the murky areas and evening out the worst of the discolouration. Heavy staining that has eaten right through the image won't vanish entirely, but a faded, water-marked print almost always comes back looking markedly clearer and closer to the photo it used to be. If it's black-and-white and you'd like it in colour afterwards, run the restored copy through colourising.
Drop your photo: any format, including HEIC straight from an iPhone. Restoring starts the moment you add it.
Lost detail is rebuilt and edges are sharpened on our GPU, usually in a few seconds.
Compare before and after, choose your size, and download. Your photo is then wiped automatically.
We'd rather set expectations than oversell. Restoration rebuilds detail that's faint, soft or damaged; it can't recreate detail that was never captured or has been completely destroyed. A tiny, extremely low-resolution scan has a ceiling on how much can come back. A face that's a soft grey smudge with no features left gives the tool almost nothing to reconstruct from. Physically missing pieces can't be filled from nothing. What you can count on: a faded, scratched, soft or water-damaged photo comes back noticeably clearer, and when the tool can't fully fix something it errs towards a natural result rather than an obviously fake one. If the first result isn't quite right, a cleaner scan of the original print, made the way our scanning guide describes, often makes the difference.
Restoring old photos made up 7 of the 80 tool runs we logged in our 40-day measurement window — a smaller number than the other modes, which fits: it's usually a more deliberate upload than a quick phone snap. Across the site, 26 of those 80 runs were turned away before processing started, and some of the old-photo uploads in that group were saved as ".jpg" in a way our tool couldn't read — not a damaged photo, just a file the browser sent in a form we didn't recognise. What we didn't see much of is the thing people worry about most: running out of room. None of the 528 uploads we measured across the site came close to the size limit, so if a scan of an old print looks huge on your own computer, it's very unlikely to be the reason an upload fails here.
If what you're restoring is a scanned document page rather than a photograph, a different tool fits better: ScanReviver's clean scanned document straightens it, crops the desk away and evens out the lighting.
Upload it to PicReviver: restoring is automatic and free for up to five photos at a time, with no account and no watermark.
Most faded, soft or low-resolution photos come back with noticeably more clarity. Extremely damaged images have limits, but the tool rebuilds detail wherever it can.
Your upload is deleted right after processing and the result is wiped within 45 minutes. Nothing is stored, shared or used to train anything: see our Privacy Policy.
JPG, PNG, WEBP, HEIC/HEIF, TIFF, BMP and GIF. If a file can't be read, the tool tells you clearly.
Creases, scratches and small tears often improve noticeably: the surrounding detail gives the tool enough to work with. Pieces that are physically missing, like a torn-away corner, can't be reconstructed from nothing; restoration only rebuilds detail that's still present in the photo.
Usually, yes. Tide-lines, cloudy blooms and uneven fading from water come back a lot: the tool rebuilds the contrast and texture the damage flattened. Very heavy staining that's eaten right through the image won't disappear entirely, but the photo almost always looks markedly clearer.
A few seconds per photo on our GPU. You can restore up to five at a time, and each result appears with a before/after slider so you can check it before downloading.
Yes, if they're prints, upload a digital copy: a scan or a clear phone photo of the print. A good scan makes a real difference to the result, so see our guide on how to scan old photos properly and, before that, our guide on how to clean old photos safely before scanning for the best starting point.