Compress JPG, PNG and WebP images instantly — right in your browser. Nothing is uploaded to any server. 100% private, free and unlimited.
This tool uses your browser's built-in Canvas API to resize and re-encode images directly on your device. Drop one or more JPG, PNG or WebP files, adjust the quality slider to control the balance between file size and image quality, and optionally set a maximum width to resize larger images down. The compressed result appears instantly, showing the new file size and percentage saved compared to the original — so you can fine-tune the settings before downloading.
Your images never leave your device. Compression happens entirely in your browser using the Canvas API.
No waiting for server processing. Images are compressed in milliseconds on your own hardware.
Drop multiple images at once and compress them all in one go. Download individually or all at once.
Adjust quality from 10% to 95%, choose output format, and set a maximum width for resizing.
At higher quality settings (70-90%), the difference is usually imperceptible while file size drops significantly. Lower settings (below 50%) trade more visible quality for smaller files — useful for thumbnails or web backgrounds.
JPEG works best for photos with lots of colour variation. PNG is better for graphics, logos, or images with transparency. WebP often gives the smallest file size while maintaining quality, and is supported by all modern browsers.
No artificial limit is imposed by this tool — the only constraint is your device's available memory when processing very large batches.
Many websites don't need full-resolution images. Setting a max width (e.g. 1920px) reduces both dimensions and file size together, which is ideal for web use where large originals are unnecessary.
Images are consistently the largest contributor to slow web pages, bloated email attachments, and SharePoint or OneDrive storage consumption. A photograph taken on a modern smartphone is typically 3-8MB — far larger than necessary for most digital uses. Compressing it to 200-400KB for web use or email attachment purposes reduces file size by 90% or more, often with no visible difference in quality at normal viewing sizes.
Image compression works by reducing the amount of data needed to represent an image. Lossy compression (used by JPEG and WebP) discards fine detail that the human eye is unlikely to notice — particularly in areas of similar colour or fine texture. Lossless compression (used by PNG) reorganises data more efficiently without discarding anything, resulting in smaller files but less reduction than lossy methods. For photographs, JPEG or WebP at 75-85% quality typically gives the best balance of file size and visual fidelity. For graphics, logos and screenshots with solid colours and text, PNG is usually a better choice as it preserves sharp edges and avoids JPEG compression artefacts.
This tool compresses images entirely in your browser using the HTML5 Canvas API — nothing is uploaded to any server. You can process multiple images at once and download them individually or as a ZIP file. The quality slider lets you find the right balance between file size and image quality for your specific use case.
For web images and email, 70-80% quality gives a good balance — typically reducing file size by 60-80% with minimal visible quality loss at normal screen sizes. For print or professional photography where quality matters more than file size, use 85-90%. Below 60% quality artefacts start to become visible, especially around text and sharp edges.
WebP produces smaller files than JPEG at equivalent quality and is supported by all modern browsers. For web use, WebP is the better choice. For maximum compatibility with older systems, email clients, and software that doesn't support WebP, stick with JPEG. PNG is best for images with text, logos, screenshots, or transparent backgrounds.
Not unless you use the resize option. Compression reduces file size by encoding the pixel data more efficiently or discarding fine detail, but the output image has the same pixel dimensions as the input. If you need to reduce dimensions (for example, scaling a 4000px wide photo down to 1200px), use the width setting before compressing.