Use our AI image depixelizer to unpixelate images online, remove blocky pixels, and rebuild detail at 2× or 4× resolution.
Start for freeOutput scale
Choose 2× for a subtle restoration or 4× when you need a larger export.
Enhance faces
Restore more natural facial features in portraits and group photos.
The original upload is not kept in your public history.
Your first successful enhancement each UTC day is free.
AI analyzes shapes, textures, faces, and compression patterns to depixelate images and reconstruct more natural high-resolution detail.
Remove pixelation caused by strong JPEG compression, tiny source files, screenshots, or repeated downloads while protecting meaningful contours.
The image depixelizer rebuilds cleaner boundaries around hair, lettering, clothing, products, and architecture instead of enlarging square pixels.
Enable face enhancement for unclear portraits. Disable it when preserving an illustration's original character matters more.
Depixelate images and enlarge them in one workflow. Choose 2× for web use or 4× for larger outputs.
AI cannot recover discarded pixels, but it can infer plausible detail from recognizable subjects. Compressed photos, portraits, web images, and screenshots usually work best. Keep the original when accuracy matters.
Learn how to fix a pixelated imageUse the image depixelizer to remove pixelation from portraits, product photos, old images, screenshots, and illustrations with settings suited to each format.
Portraits
A profile photo from an old account may look acceptable as a thumbnail but become blocky when enlarged. Use AI to unpixelate images, soften compression artifacts, and rebuild natural facial edges. Optional face enhancement helps with recognizable headshots, family snapshots, graduation photos, and scanned portraits.
E-commerce
Marketplace sellers often receive small supplier photos, compressed catalog exports, or images saved from an older storefront. Remove pixelation from product photos before using them in galleries, ads, comparison tables, presentations, or social posts. Generated micro-detail should not replace accurate photography for important product claims.
Early cameras, old phones, and low-quality scans can leave valuable photos at tiny dimensions. Depixelate images to create cleaner working copies for family archives, photo books, and modest reprints. This will not repair severe physical damage, but it provides a stronger base for retouching and print preparation.
A useful result reduces blocks while preserving believable edges and subject identity. Judge it at the intended display size against the untouched source.
These terms describe different image problems. Knowing the distinction helps you choose the right workflow and set realistic expectations.
Pixelated images often combine low resolution with block artifacts. Choose the needed output size and avoid repeated processing, which can introduce artificial texture.
Targets square pixels and jagged edges caused by enlarging a small raster image. This is our tool's primary task.
Another name for reducing pixelation. AI depixelation reconstructs likely detail rather than merely blending every block with its neighbors.
Targets motion blur, missed focus, or camera shake. Mild softness may improve, but severe smearing needs a dedicated deblur model.
Increases pixel dimensions. Basic upscaling only resizes; AI upscaling also predicts detail. Here, resizing and artifact reduction happen together.
Upload a pixelated image, choose simple restoration settings, and download the clearer result without desktop software or prompt writing.
Choose, drag, or paste a JPEG, PNG, or WebP file up to 10 MB. Preview the pixelated image locally before processing.
Select 2× or 4×. Enable face enhancement for portraits, but disable it for logos, screenshots, packaging, and stylized characters.
Download the PNG when processing finishes or open it from recent results. Outputs remain private and can be permanently deleted.
The tool turns a recognizable pixelated image into a clearer, larger result through one focused workflow.
2× / 4×
Output enlargement
JPG / PNG / WebP
Accepted formats
10 MB
Maximum upload
Your control
Private deletion controls
Each account receives one free successful enhancement per UTC day. Additional processing uses 10 credits per image, regardless of whether you select 2× or 4×. A pending job reserves its allowance so simultaneous requests cannot spend the same free use twice. If Replicate reports a failure or cancellation, charged credits are automatically restored. Inputs are transmitted to Replicate for Real-ESRGAN processing; original uploads are not displayed in public galleries or used by this site as training data.
Practical answers about quality, privacy, formats, cost, and what AI can realistically restore.
Product updates, guides, and engineering notes from the team.
Learn how to prepare a small or pixelated photo for printing, calculate the resolution you need, and choose a practical 2× or 4× AI upscale.
Understand AI image upscaling, how super-resolution differs from ordinary resizing, and when a 2× or 4× reconstruction can improve a small image.
Upload a photo, choose the output scale, and let the AI image depixelizer rebuild clearer detail. Your first successful enhancement each day is free.
