Online Image Compressor

    Fast, client-side image compression. No server uploads required.

    Drop your image here

    or click to browse from your device

    Supports JPEG, PNG, WebP (Max 5MB)

    How This Tool Works

    This free Online Image Compressor provides lightning-fast, secure image optimization directly in your browser. Utilizing canvas-based rendering and compression configurations, it allows you to optimize JPEG, PNG, and WebP assets locally without uploading any data to external servers. Simply drop your image, select your desired export format and dimensions, configure the quality scale, and download the compressed output in seconds.

    Using This Tool in Figma

    Optimizing image asset exports is key to maintaining high-performance Figma prototypes and fast-loading web applications. Before importing large images into Figma or immediately after exporting them for production, pass them through this compressor. Reducing asset weight prevents Figma files from lagging and ensures that developers receive lightweight PNG/WebP files that optimize Core Web Vitals like Largest Contentful Paint (LCP).

    Frequently Asked Questions

    What image formats does the compressor support?
    The compressor supports standard web formats including JPEG (JPG), PNG, and WebP. You can convert between these formats during the compression process.
    Does this compressor upload my images to a server?
    No. All compression is executed locally on your client machine using HTML5 Canvas APIs. Your images never leave your computer, ensuring absolute privacy and security.
    What is the difference between lossy and lossless compression?
    Lossy compression (JPEG, WebP) significantly reduces file size by discarding minor visual detail, while lossless compression (PNG) maintains exact original pixel quality but results in larger file sizes.
    How does image optimization affect SEO?
    Search engines favor fast-loading websites. Compressing heavy images improves your website's loading speed (Core Web Vitals), leading to better search engine ranking and user retention.