PNG Compressor

PNG compression reduces the file size of a PNG image while keeping it in PNG format. Use this tool to speed up page loads, shrink assets before uploading, and cut storage costs without switching to a different image format. PNG compression is lossless at lower compression levels, meaning the pixel data stays identical. At higher compression levels the tool applies quantization to reduce color depth, which can produce visually identical results at a fraction of the original size.

1. Upload a PNG: Drag and drop or click to select a .png file from your device.
2. Set compression level: Move the slider to control how aggressively the tool compresses. Higher values target smaller files.
3. Download the PNG: Click the download button to save the optimized image.

• Keep transparency: Unlike JPG, PNG supports alpha channels. Compression preserves transparent backgrounds, making this the right choice for UI assets, logos, and icons.
• Faster websites: Image weight is one of the biggest factors in Core Web Vitals. Compressing PNGs before publishing can measurably reduce Largest Contentful Paint times.
• Smaller email attachments: Many email providers cap attachment size at 10-25 MB. Compressing images beforehand avoids bounce-backs.
• Clean workflow: Compress once before publishing, emailing, or committing to version control.

Use case 1: Optimize UI assets for a web app

Designers export icons and illustrations from Figma as PNGs with full transparency. Run each asset through the compressor before adding it to the project repository. A set of 50 icons that totaled 4 MB can often shrink to under 1.5 MB without any visible change.

Use case 2: Prepare screenshots for documentation

Technical writers capture full-screen screenshots for help docs and knowledge bases. These PNGs are often 2-5 MB each. Compressing to 200-400 KB per image keeps the documentation fast to load while preserving text clarity.

Use case 3: Reduce costs from image hosting and CDN bandwidth

E-commerce stores with thousands of product images on transparent backgrounds can save meaningful bandwidth and storage costs by compressing each PNG before uploading to their CDN.

Use case 4: Share proofs with clients

Creative teams sharing review images over Slack, email, or feedback tools benefit from smaller files that preview instantly without long download waits.

PNG uses the DEFLATE algorithm for lossless compression at its core. This tool adds an additional step: color quantization. The compressor analyzes the image and reduces the number of unique colors from potentially millions (24-bit) down to a smaller, optimized palette. For most images (photos with transparency, icons, UI elements) the human eye cannot distinguish the original from the quantized version.

Key points:

• Low compression: Applies DEFLATE-level optimizations only. File size reduction is moderate (10-30%) but the output is pixel-identical to the input.
• High compression: Applies color quantization alongside DEFLATE. File size reduction can reach 60-80%, with imperceptible quality differences for most images.
• Transparency: Alpha channel data is preserved at all compression levels.

Example 1: Compress a logo for web use

• Input: logo.png (620 KB, 2000×1200, transparent background)
• Compression: 80
• Output: compress-png-output.png (145 KB). File size reduced by 77% with no visible change to the logo at normal display sizes.

Example 2: Compress before choosing a format

If you are deciding between PNG and WebP, compress the PNG first, then compare with PNG to WebP. This gives you a fair comparison: optimized PNG versus WebP, rather than unoptimized PNG versus WebP.

The output is not much smaller

Some PNGs are already well optimized, especially those exported by tools like TinyPNG or ImageOptim. If you still need a significant reduction, consider:

• Resizing the image with image resizer to reduce total pixel count.
• Converting to WebP with PNG to WebP, which typically achieves an additional 20-30% savings over optimized PNG.

The output looks the same (is it working?)

This is expected. PNG compression targets the file encoding and color table, not the visible pixels. Check the file size in your file manager or browser download bar. If the byte count went down, the compression worked.

Colors look slightly different at very high compression

At the highest compression settings, the quantizer reduces the palette more aggressively. If you notice banding in gradients or subtle color shifts, reduce the compression value by 10-15 points to find the right balance for your image.

File size actually increased

This is rare but can happen with very small PNGs (under 5 KB) or PNGs that were already aggressively optimized. In this case, the re-encoding overhead exceeds the savings. Keep the original.

• Start at high compression and only decrease if you notice visible quality loss. Most images look identical at 80-90 compression.
• Batch compress before committing: Run all your PNG assets through the compressor before adding them to Git. Version control stores every version, so smaller originals save repository size permanently.
• Combine with resizing: If your source PNG is 4000×3000 but you display it at 800×600, resize first with image resizer, then compress. You will see the biggest savings from reducing pixel count.
• Test on retina and standard displays: A compressed PNG that looks fine at 1x may reveal artifacts at 2x. Check at both scales for production assets.

• Convert to a smaller web format with PNG to WebP.
• Remove extra pixels with image resizer.
• Create a favicon from the compressed image with PNG to ICO.
• Convert to JPG for file-size savings when transparency is not needed with PNG to JPG.

Compression runs server-side so the optimized PNG can be generated consistently using high-quality quantization algorithms. Your file is uploaded to Textavia's server for processing and the compressed result is returned immediately. We do not store your images. Avoid uploading images that contain sensitive information, and see our privacy page for details.