Image

Compresor de imagen

Comprima imágenes JPEG, PNG y WebP en su navegador sin cargarlas en ningún servidor. Se ejecuta completamente en su navegador: no se envían datos a ningún servidor, no se requiere cuenta y es completamente gratis.

The Complete Guide to Image Compression and Web Performance

Images are simultaneously the most engaging and the most performance-damaging element on modern web pages. According to the HTTP Archive, images account for over 50% of the average web page's total byte size. Unoptimized images are the single biggest cause of slow load times, high bounce rates, and poor Core Web Vitals scores — all of which directly harm your Google search rankings. In this guide, we explain how image compression works, the differences between popular formats, and the best practices for squeezing maximum performance out of every image on your site.

How Image Compression Works

Image compression is the process of reducing the file size of an image by removing or encoding data more efficiently. There are two fundamental categories:

Lossless Compression

Lossless compression reduces file size without permanently removing any image data. Every pixel in the output is mathematically identical to the original. The compression works by finding and encoding patterns and redundancies in the image data more efficiently. Lossless decompression perfectly reconstructs the original image. PNG is the most common lossless format.

Best for: logos, icons, screenshots with text, UI elements, and any image where pixel-perfect accuracy is required.

Lossy Compression

Lossy compression permanently removes image data that the human eye is least likely to notice, achieving significantly higher compression ratios than lossless methods. The algorithm uses perceptual models of the human visual system to determine which details can be discarded. Once compressed, the original data cannot be recovered. JPEG is the most ubiquitous lossy format.

Best for: photographs, complex illustrations with gradients, and any image where absolute pixel accuracy is not required.

Understanding Image Formats

JPEG (Joint Photographic Experts Group)

JPEG uses the Discrete Cosine Transform (DCT) algorithm to achieve impressive compression ratios on photographic content. It works by dividing the image into 8×8 pixel blocks, transforming them from the spatial domain to the frequency domain, and discarding the high-frequency components that the eye is least sensitive to. At quality settings of 70–85%, JPEG produces files 70–90% smaller than the original with visually imperceptible quality loss for most photography.

Limitation: JPEG does not support transparency (alpha channels). It also performs poorly on images with sharp edges, flat colors, and text, producing visible "compression artifacts" (blocky distortions) in these areas.

PNG (Portable Network Graphics)

PNG uses the DEFLATE lossless algorithm (a combination of LZ77 and Huffman coding). It is the superior choice for images with text, sharp lines, and flat color areas. Crucially, PNG supports full alpha-channel transparency, making it the only viable choice for icons and logos that need to sit on different colored backgrounds.

Limitation: PNG files are significantly larger than JPEG for photographic content. A photograph saved as PNG might be 5-10× larger than the same photo saved as a well-optimized JPEG.

WebP (Web Picture Format)

WebP is a modern format developed by Google that supports both lossy and lossless compression in a single format, as well as transparency. WebP lossy images are typically 25–35% smaller than equivalent JPEG images at the same perceptual quality. WebP lossless is typically 26% smaller than equivalent PNG images.

WebP is now supported by all modern browsers (Chrome, Firefox, Safari, Edge) and should be your primary target format for web images in 2025.

Google PageSpeed and Core Web Vitals

Image optimization is one of the highest-leverage actions you can take to improve your Google PageSpeed Insights (PSI) score, specifically the Largest Contentful Paint (LCP) metric. LCP measures how long it takes for the largest visible element on the screen (almost always an image) to fully load.

Google's Core Web Vitals target for LCP is under 2.5 seconds. An unoptimized hero image that is 3 MB will consistently fail this threshold. The same image compressed to 150 KB with our tool can bring LCP down to under 1 second.

Best Practices for Web Image Optimization

  • Right-size your images: Never upload a 4000px-wide image if it will only ever be displayed at 800px. Use the Max Width setting in our compressor to resize proportionally before compressing.
  • Choose the right format: Use WebP for everything possible. Fall back to JPEG for photos and PNG for transparent logos.
  • Use quality 70-85% for photographs: Below 60% introduces visible blocking artifacts. Above 90% produces diminishing returns in file size.
  • Use loading="lazy": Add this attribute to all below-the-fold images so the browser defers loading them until the user scrolls near them.
  • Use responsive images (srcset): Serve different image sizes to different screen resolutions using the HTML srcset attribute.

Use our free, privacy-first Image Compressor to optimize your JPEG, PNG, and WebP images directly in your browser — no uploads, no servers, no data sharing.

Cómo utilizar el Compresor de imagen

  1. 1

    Set quality and size

    Use the Quality slider (higher = better quality, larger file) and Max Width/Height to cap the output dimensions.

  2. 2

    Upload your image

    Drag and drop an image onto the upload zone, or click to select a file. JPEG, PNG, and WebP are supported.

  3. 3

    Download the result

    After compression, compare the before/after size and preview, then click Download to save the compressed file.

Preguntas Frecuentes

Does the image leave my device?

No. All compression happens in your browser using the browser-image-compression library. Your image is never uploaded to any server.

Which image formats are supported?

JPEG, PNG, and WebP are fully supported. GIF and SVG are not supported for compression (SVG should be optimized with a dedicated SVG minifier).

What quality setting should I use?

For web use, 70-80% quality is a great balance of visual quality and file size. For print or archival purposes, use 90-95%. Below 60% may introduce visible artifacts.

What does the Max Width/Height setting do?

If your image is larger than the specified dimension (in either width or height), it will be resized down proportionally while maintaining the aspect ratio. This is the most effective way to reduce file size for web images.

How much can I expect to compress an image?

Typical results: JPEG photos compressed to 70-80% quality see a 50-80% file size reduction. PNG images (especially photos) can see 60-90% reduction when converted internally.

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