Reduce JPEG, PNG, and WebP file sizes without uploading anything. Adjust quality, resize dimensions, convert formats, and batch process multiple images. Everything runs locally in your browser using the Canvas API.
Last updated: March 2026 | Free to use, no signup required
Drop images here or click to browse
Supports JPEG, PNG, WebP, GIF, BMP, TIFF -- select multiple files at once
Image compression reduces file size by removing redundant or less important data from an image. Every digital photo contains far more information than the human eye can distinguish, especially in areas with gradual color transitions or fine grain detail. Compression algorithms identify and discard this excess data, or represent it more efficiently, to produce a smaller file that still looks acceptable at normal viewing sizes.
There are two broad categories: lossy and lossless. Both serve different purposes depending on whether you prioritize file size or pixel-perfect accuracy. The right choice depends on where the image will be used and how much quality reduction is tolerable for your use case.
Lossy compression permanently removes data to achieve smaller files. When you export a JPEG at 80% quality, the encoder analyzes 8x8 pixel blocks using the discrete cosine transform (DCT), quantizes the frequency coefficients, and throws away the high-frequency detail that contributes least to perceived quality. The result is a file that can be 10-20x smaller than the raw pixel data, with artifacts that are barely visible at moderate quality settings.
Lossless compression preserves every single pixel exactly. PNG uses the DEFLATE algorithm -- a combination of LZ77 dictionary matching and Huffman coding -- to represent the same pixel data in fewer bytes. The trade-off is that lossless files are significantly larger than lossy equivalents, typically achieving only 2-3x compression on photographic content. Lossless compression works best on images with large areas of flat color, like screenshots, diagrams, and logos.
The practical difference: a 5 MB photograph compressed to JPEG at 80% quality might be 400 KB. The same image saved as a lossless PNG would be around 3.5 MB. For web publishing, lossy compression at the right quality level produces files that load faster with no visible difference at normal screen sizes.
| Format | Type | Best For | Transparency | Browser Support |
|---|---|---|---|---|
| JPEG | Lossy | Photographs, gradients, complex scenes | No | Universal |
| PNG | Lossless | Screenshots, logos, text, UI elements | Yes (alpha) | Universal |
| WebP | Both | All web images (best overall compression) | Yes (alpha) | 96%+ browsers |
JPEG remains the default for photographic content due to universal support and predictable quality-to-size ratios. PNG is the standard for anything that requires transparency or pixel-exact reproduction. WebP, developed by Google and based on the VP8 video codec, typically produces files 25-35% smaller than JPEG at equivalent visual quality, and supports both lossy and lossless modes with alpha transparency. As of 2026, WebP is supported by every major browser including Safari, Chrome, Firefox, and Edge.
This compressor uses the HTML5 Canvas API, which is built into every modern browser. The process works in four steps:
The before-and-after preview lets you visually compare quality at different compression levels. Drag the slider left and right to see exactly where compression artifacts appear, which helps you find the lowest file size that meets your quality threshold.
Serving correctly sized images is one of the most impactful performance optimizations for any website. Google's Core Web Vitals metrics, particularly Largest Contentful Paint (LCP), are directly affected by image file sizes. These are general guidelines for common image use cases:
A rule of thumb: if your page loads more than 1 MB of total image data, there is room to optimize. This tool lets you experiment with quality settings and dimensions to find the right balance for each image without needing to install desktop software or upload files to a third-party service.
No. Every step of the compression process runs locally in your browser using the Canvas API. Your images are never sent over the network. The file data stays in your browser's memory and is discarded when you close the tab or clear the images. This makes the tool safe for sensitive or private photos.
For most web usage, 75-85% quality provides a good balance between file size and visual fidelity. Below 70%, JPEG and WebP artifacts become noticeable on close inspection, particularly around sharp edges and text. Above 90%, file sizes increase significantly with minimal visible improvement. Use the before-and-after slider to compare at different quality levels and find the threshold for your specific image.
PNG is a lossless format, meaning it preserves every pixel exactly. For photographic images with complex color gradients, lossless encoding simply cannot match the compression ratios of lossy formats like JPEG or WebP. If you convert a photograph from JPEG to PNG, the file will almost always grow larger. PNG compression is most effective on images with large areas of identical color, such as screenshots, diagrams, and vector-style graphics. Use PNG when you need transparency or exact reproduction, and JPEG or WebP when file size matters more.
Yes. Select multiple files from the file picker, or drag and drop a batch of images onto the drop zone. Each image is processed individually with the same quality, format, and resize settings. The batch summary bar shows the total space saved and average compression ratio. You can download each compressed image individually or use the Download All button to get a ZIP archive containing every result.
In most cases, yes. WebP produces files 25-35% smaller than JPEG at equivalent visual quality, and it supports alpha transparency. As of 2026, browser support exceeds 96%, covering Chrome, Firefox, Safari, Edge, and all major mobile browsers. The main reason to keep JPEG is if you need to support very old browsers or email clients that do not render WebP. For modern websites, WebP is the better default choice.
Significantly. Reducing dimensions has a multiplicative effect on file size because the number of pixels scales with width times height. Halving both dimensions reduces the pixel count by 75%, which typically results in a file that is 3-4x smaller even before quality compression is applied. If your images are larger than the display size on your website, resizing them to the actual rendered dimensions is the single most effective optimization you can make.