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PNG Compressor Guide

What is PNG Compressor?

PNG Compressor makes PNG files smaller while keeping the details people usually choose PNG for: transparency, sharp edges, UI captures, logos, and flat graphics. Use lossless compression when the image must stay exact, or lossy settings when a smaller upload matters more. The tool combines palette reduction, DEFLATE optimization, and optional quantization so screenshots and transparent assets are easier to share, publish, or hand off.

PNG Compressor examples

  • Reduce a large image before sending it through email or chat.
  • Optimize assets before uploading them to a website or landing page.
  • Create smaller files for mobile users while keeping visual quality acceptable.

How to use PNG Compressor

  1. Upload one or more PNG files from your device.
  2. Choose compression mode: lossless (zero quality loss) or lossy (maximum size reduction).
  3. Adjust quality level if using lossy mode to balance size and visual fidelity.
  4. Preview compressed results and check file size reduction percentage.
  5. Download optimized PNG files individually or as a batch ZIP.

Common questions

What is the difference between lossless and lossy PNG compression?

Lossless compression reorganizes data more efficiently without changing any pixels (typically 10-30% reduction). Lossy compression reduces the color palette and applies quantization for much larger reductions (50-80%) with minimal visible change.

Will PNG compression remove transparency?

No. Both lossless and lossy PNG compression preserve the alpha channel. Your transparent backgrounds remain intact.

When should I use PNG compression vs converting to JPG?

Use PNG compression when you need to keep transparency, sharp edges (logos, text, UI), or lossless quality. Convert to JPG when the image is a photo without transparency and maximum size reduction matters more.

How much can I expect to reduce PNG file size?

Lossless mode typically achieves 10-30% reduction. Lossy mode can achieve 50-80% reduction depending on image complexity and color count.

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