Up to 50 images, max 5 MB each.
Quality
Selected Quality: 80%
| Total Input Files: 0 | Total Uploaded: 0 | Total Converting: 0 | Total Converted: 0 | Total Error: 0 |
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Up to 50 images, max 5 MB each.
Selected Quality: 80%
| Total Input Files: 0 | Total Uploaded: 0 | Total Converting: 0 | Total Converted: 0 | Total Error: 0 |
| Download All | ||||
| Download All |
Free tool for converting images from PNG and JPG to WebP formats.
Images are an important element for content and SEO, however a single image can weigh much more than the entire html page. This is why it is important to compress images in the best possible way and to use efficient formats that compress without loss of quality.
The WebP format today is compatible with all major browsers, it makes no sense not to use it to improve the loading times of your pages. Give it a try.
PLEASE NOTE: we do not see, collect or hold your uploaded images.
WebP is a modern image format that provides superior lossless and lossy compression for images on the web. Using WebP, webmasters and web developers can create smaller, richer images that make the web faster. WebP lossless images are 26% smaller in size compared to PNGs.
Is WebP supported in all browsers?According to Caniuse, currently more than 80% of browsers support the WebP image format. That would include Chrome, Firefox, Safari and Edge.
Should you use WebP?WebP is an emerging image format put out by Google. It's designed to use a more aggressive and better optimized compression algorithm than JPG and PNG with the objective of reducing file sizes with minimal quality loss. So it's always a trade-off between file size and image quality.
Is WebP better than PNG?Essentially WebP offers the following benefits over PNG. WebP offers 26% smaller file sizes than PNG, while still providing transparency and the same quality. WebP loads faster (due to file size) than PNG images.
Is WebP progressive?WebP does not offer a progressive or interlaced decoding refresh in the JPEG or PNG sense. This is likely to put too much pressure on the CPU and memory of the decoding client as each refresh event involves a full pass through the decompression system.