Compress Images Without Losing Quality (2026)

Why image compression matters more than ever in 2026

Google uses page loading speed as a direct ranking signal through its Core Web Vitals framework. The Largest Contentful Paint (LCP) metric- which measures how quickly the main content of a page loads- is almost always dominated by an image. According to web.dev, the LCP element is an image in approximately 70% of all web pages.

Google's web.dev performance guide covers Core Web Vitals in detail and explains how optimizing images for web directly affects your LCP score.

Beyond rankings, there are hard business reasons to compress images. Mobile data plans are expensive in many markets. Large images increase bounce rates on slow connections. Cloud storage and CDN bandwidth costs scale directly with asset sizes. Compressing your images is free performance improvement- with no downside when done correctly.

Lossy vs lossless compression: what is the actual difference

Every image compression method falls into one of two categories. Understanding the difference is the foundation of everything else in this guide.

Lossless compression

Lossless compression reduces file size by encoding data more efficiently- but preserves every single pixel from the original. When you decompress a losslessly compressed image, the result is bit-for-bit identical to the source. No information is discarded.

The tradeoff is that lossless compression has a ceiling. You typically achieve 10–30% file size reduction on photographs. For images with large uniform color regions (logos, screenshots, diagrams), the reduction can be much higher- sometimes 60% or more.

PNG is the dominant lossless format on the web. It is ideal for graphics, logos, and any image where pixel accuracy is required. When you cannot afford to lose a single detail- medical imaging, print production, product photography before editing- lossless is the correct choice.

Lossy compression

Lossy compression achieves dramatically smaller file sizes by permanently discarding image data that the human visual system is unlikely to notice. A JPEG at quality 80 looks virtually identical to the original to the human eye but is typically 60–80% smaller than a losslessly compressed equivalent.

The key insight is that human vision is more sensitive to some types of visual information than others. We are highly sensitive to brightness changes (luminance) but much less sensitive to subtle color variations (chrominance). JPEG exploits this by applying heavier compression to color channels than to brightness channels. At typical quality settings, the losses are genuinely imperceptible to the human eye.

Lossy is the right choice for photographic content, hero images, blog post illustrations, product photos, and any image destined for screen display where pixel-perfect accuracy is not required.

PNG vs JPEG vs WebP: which format should you use

Format choice is as important as compression settings. Using the wrong format for a given image type can add hundreds of kilobytes unnecessarily. This is one of the most impactful decisions when you want to reduce image size for the web. For the specific PNG conversion decision read our PNG to JPG vs WebP benchmark.

JPEG: best for photographs

JPEG (Joint Photographic Experts Group) has been the dominant web photo format since the mid-1990s for good reason. It applies lossy compression specifically tuned for photographic content with continuous tonal gradients.

• Best for: photographs, product images, hero banners, blog illustrations
• Avoid for: logos, screenshots, text overlays, transparent images
• Quality setting sweet spot: 75–85 for web display
• Does not support: transparency (alpha channel)

JPEG artifacts appear as blocky distortions around high-contrast edges (called ringing or mosquito noise). This is most visible in text embedded in images and sharp geometric edges. Avoid JPEG for any image containing text.

PNG: best for graphics and transparency

PNG uses lossless compression with optional transparency support. It excels at images with flat colors, sharp edges, and text.

• Best for: logos, icons, UI elements, screenshots, images requiring transparency
• Avoid for: full-color photographs (file sizes become enormous)
• Key advantage: lossless + transparency in one format

A common mistake is saving a photograph as PNG. A 3MB JPEG photo might balloon to 20MB or more as a PNG. Always use JPEG or WebP for photographic content.

WebP: the modern standard

WebP was developed by Google and supports both lossy and lossless compression, plus transparency. According to Google's own studies, lossy WebP files are 25–34% smaller than comparable JPEG files at equivalent perceptual quality. Lossless WebP is 26% smaller than PNG on average.

• Best for: all web images- photographs, graphics, icons, anything
• Browser support: 97%+ as of 2026- effectively universal
• Supports: transparency, animation, both lossy and lossless modes

If you are optimizing images for a modern web audience, WebP should be your default output format for nearly all use cases. The official WebP documentation from Google provides technical details on the format's compression algorithms. You can convert any JPG or PNG to WebP directly in the SammaPix WebP converter- no upload required. The only reason to keep JPEG or PNG is compatibility with legacy software pipelines or email clients that do not support WebP.

Quality settings: what the numbers actually mean

Most image compression tools use a quality scale from 0 to 100. The number does not represent a percentage of the original- it controls how aggressively the compression algorithm discards data. The relationship between quality value and perceptual output is nonlinear.

JPEG quality settings guide

• Quality 90–100: Maximum quality, near-lossless. For archival or print use. Unnecessary for web display- file sizes are disproportionately large.
• Quality 80–85: Excellent quality, imperceptible artifacts for most photos. The recommended range for high-quality web images such as hero images and product photography.
• Quality 70–75: Good quality, very slight artifacts on close inspection at 1:1 zoom. Ideal for blog post images, thumbnails, and social sharing. Strong file size reduction.
• Quality 50–65: Noticeable quality loss. Acceptable for tiny thumbnails or previews where image quality is secondary. Not recommended for primary content.
• Quality below 50: Significant visible degradation. Rarely appropriate for any web use case.

The practical sweet spot for most web images is quality 78–82. In real-world tests, the difference between quality 80 and quality 95 is invisible on a standard display at normal viewing distance, yet quality 80 produces a file that is often 50% smaller.

WebP quality settings

WebP's quality scale behaves differently from JPEG. Due to the more efficient compression algorithm, WebP at quality 75 often looks comparable to JPEG at quality 85, while being significantly smaller. A starting point of 80 for photographic WebP content is a reliable default. You can often go as low as 70 before noticing visible degradation.

How to compress images without visible quality loss: a practical workflow

The following approach works for web developers, content creators, e-commerce managers, and anyone uploading images regularly. Use the best image compressor workflow that fits your use case.

Step 1 - Resize before compressing

Compressing a 6000×4000 pixel photo down to 80% quality still leaves you with a massive file if the display size is 1200×800 pixels. Always resize to the display dimensions first. A 1200px wide image at quality 80 will be far smaller than a 6000px image at quality 90- and look identical on screen.

As a practical rule: never upload an image wider than 2000px for standard web content. For retina displays (2x density), 1600px wide covers most display sizes with full sharpness.

Step 2 - Choose the right format for the image type

Use the format decision table from earlier in this article. Photographs go to WebP (or JPEG). Graphics and logos with transparency stay as PNG, or convert to WebP. Screenshots and UI mockups with text use PNG or lossless WebP.

Step 3 - Compress in the browser, no uploads required

The SammaPix Compress tool - one of the best image compressors available without any server upload - runs entirely on your device. Your images never leave your machine: they are processed locally using the same compression libraries used by production web toolchains. You can adjust the quality slider in real time and see the file size change before downloading.

Drag a batch of photos onto the drop zone and compress them all at once. The tool shows you the original file size, the compressed size, and the percentage reduction for each image. Download individually or as a ZIP archive. To push file sizes even further, pair compression with WebP conversion- you can easily achieve an additional 25–35% size reduction on top of compression alone, with no perceptible quality difference.

Step 4 - Do a visual check before publishing

Open the compressed file at 100% zoom and compare it to the original. Look specifically at fine details- hair, fabric texture, text, sky gradients. If you see obvious blocking or color banding, increase quality by 5 points. For most photos at quality 80, the compressed version is indistinguishable from the original at normal viewing sizes.

Common compression mistakes (and how to avoid them)

Re-compressing already compressed images.

Every time you save a JPEG, you lose data. Compressing an already-compressed JPEG introduces additional generation loss. Always work from the original source file and compress once. Store originals separately from web-optimized versions.

Saving photographs as PNG.

This is the single most common oversizing mistake. A JPEG photo at quality 80 might be 200KB. The same image saved as PNG will routinely exceed 3–5MB. Use JPEG or WebP for photos, always.

Compressing without resizing first.

A photo from a modern smartphone is 4000+ pixels wide. If your blog column is 700px, you are serving 30x more pixels than needed. Resize to the display dimensions before compressing- this single step is often worth more than any quality setting adjustment.

Using quality 100 “to be safe.”

The difference between quality 100 and quality 82 is invisible on screen. The file size difference can be 3x or more. Quality 100 is not “better” for web display- it is just larger. Save quality 95–100 for archival originals only.

Format comparison: which to choose and when

FAQ

What is the best quality setting to compress images without losing quality?

For JPEG and lossy WebP, quality 78–82 is the sweet spot for web display. The output is visually indistinguishable from the original at normal screen sizes, while delivering 50–70% file size reduction. For higher-stakes images (product photography, portfolio work), use quality 85.

Can I compress a PNG without quality loss?

Yes, using lossless compression. PNG uses DEFLATE compression internally, and different encoders apply it with varying efficiency. Tools like SammaPix can re-compress a PNG losslessly and reduce file size by 10–30% without changing a single pixel. For larger reductions, consider converting to lossless WebP.

Does compressing images hurt SEO?

The opposite: compressing images improves SEO. Smaller files mean faster page loads, which directly improves Core Web Vitals scores. Google uses page speed as a ranking signal, and LCP (Largest Contentful Paint) is almost always an image. Compressing your images to appropriate sizes is one of the most direct technical SEO improvements available.

What is the difference between image compression and resizing?

Resizing changes the pixel dimensions of the image (e.g., from 4000×3000 to 1200×900). Compression reduces the data used to encode those pixels. Both reduce file size, and both should be applied together. Resize to the display dimensions first, then apply compression. Using both techniques together typically achieves 90%+ file size reduction from a raw camera file.

Is it safe to compress images in the browser?

Yes. Browser-based compression like SammaPix processes images entirely on your device using JavaScript APIs. Your files never leave your computer. This is actually more private and often faster than server-based tools, since there is no upload latency and no third party ever receives your images.