Upscale PNG Images — Enlarge 2x or 4x While Preserving Transparency

Upscale PNG files with AI-powered super-resolution. Unlike basic resizing, our AI adds real detail — sharpening edges, enhancing textures, and preserving alpha channel transparency. Your PNG stays crisp at any size.

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01
Open your file
PNG, JPG, WebP, AVIF, GIF, or BMP up to 10 MB in the free workspace (the AI converter takes PNG, JPG, WebP, or AVIF). Existing SVGs can be edited in the free workspace.
02
Trace and inspect
Preview the shapes and colors. Clear logos and flat artwork usually trace more predictably than photos.
03
Make it yours
Edit the SVG, compare optional optimization, and download your result.

Working with your SVG

Recraft Crisp Upscale processing

In Your Browser

Upload a PNG, JPEG, or WebP file and download the result when processing finishes. Nothing to install.

PNG, JPG, and WebP input

No Watermark

Download the result without a watermark, then check it before you use it. Results depend on the source image.

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Multi-Tool Platform

After processing, use our other AI tools — upscaling, restoration, vectorization — all in one platform with shared credits.

AI conversion features

Process PNG files directly
Recraft Crisp Upscale processing
PNG, JPG, and WebP input
Enlarged raster output
Works with photos and graphics
Preview before download
No software installation required
Works in any modern browser
Commercial use allowed
Pay-per-use — no subscription
1 free credit after you verify your email

Questions about your file

Free local tools. Optional AI credits.

Local tracing and SVG editing need no credits. AI conversion includes one credit after email verification; additional packs start at $9.99.

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Why PNG Is the Best Format for AI Upscaling

PNG is a lossless format, which means it stores every pixel exactly as intended with no compression artifacts. When you feed a clean PNG into an AI upscaler, the model works with pristine data — there are no JPEG blocks or WebP smearing to confuse the neural network. The result is sharper, more accurate upscaling with fewer hallucinated details.

PNG also supports a full alpha channel for transparency. This matters because many images that need upscaling — logos, icons, UI elements, game sprites, illustrations — rely on transparent backgrounds. Our upscaler preserves your alpha channel pixel-for-pixel, so your 2x or 4x enlarged PNG maintains perfect transparency without fringing or halo artifacts around edges.

For graphics with hard edges, flat colors, and text, PNG upscaling is particularly effective. The AI can clearly distinguish edges in lossless source data, producing upscaled output where lines stay crisp and text remains readable — something that falls apart when upscaling from lossy formats.

Pro Tips for Better Results

Check your PNG bit depth before upscaling

PNGs come in 8-bit and 16-bit varieties. If you have a 16-bit PNG from Photoshop or a medical/scientific source, the upscaler will process it but output 8-bit. Save your 16-bit original separately if you need the extended color range for later editing.

Use 2x for logos, 4x for photos stored as PNG

Logos and icons with solid colors and sharp geometry look best at 2x — pushing to 4x can introduce unnecessary interpolation in flat areas. Photos saved as PNG (common in screenshots or edited images) benefit from 4x because the AI has more room to reconstruct fine detail like skin texture and fabric weave.

Verify transparency after upscaling

Open your upscaled PNG in an editor and toggle the transparency grid. Check edges of your subject for white or colored fringe pixels — if you see any, the original had a slight background bleed. You can fix this with a 1px "defringe" operation in Photoshop or GIMP.

Optimize file size after upscaling

A 4x upscaled PNG can be 10-16x the file size of the original. Run the result through a PNG optimizer like TinyPNG or pngquant if you need it for web use. This compresses the file without visible quality loss, often saving 60-80% of the file size.

How Alpha Channel Preservation Works During Upscaling

The AI processes the RGB color channels and the alpha (transparency) channel separately. Color data is upscaled using the full super-resolution model, while the alpha channel is upscaled using edge-aware interpolation that keeps transparency boundaries sharp. The two are recombined in the final output. This dual-path approach prevents the common problem where upscaling transparency-aware images produces milky, semi-transparent halos around subject edges. The output is a 32-bit RGBA PNG with the same transparency precision as the original.

Common Mistakes to Avoid

Upscaling a PNG that was converted from a heavily compressed JPEG

Converting a JPEG to PNG does not remove compression artifacts — it just stores them losslessly. If your PNG originated as a JPEG, use the JPG upscaler instead, which applies artifact removal during upscaling. You can tell by zooming in: if you see 8x8 pixel block patterns, the image started as JPEG.

Using 4x upscaling on already-large PNGs

A 3000x3000 PNG upscaled 4x becomes 12000x12000 — that is 144 megapixels. Most use cases do not need that. Calculate your target dimensions first: for a 24x36 inch print at 300 DPI, you need 7200x10800 pixels. Choose the upscale factor that gets you closest without going overboard.

Not checking if the PNG has an indexed color palette

Some PNGs use indexed color (256 colors or fewer) instead of full RGB. These are common in older web graphics and GIF-to-PNG conversions. The upscaler will convert these to full 24-bit or 32-bit color, which may slightly shift palette-limited colors. If exact color matching is critical, note the original palette values.