Image Compressor

Free image compressor that reduces JPG and PNG file sizes without visible quality loss. Upload one image or batch up to your plan's limit, compress, and download as a ZIP. Perfect for bloggers, web developers, and SEO teams optimising page speed — smaller images mean faster pages, better Core Web Vitals, and less bandwidth cost.

PNG, JPG, WebP supported. Compression runs in your browser; files are never uploaded.
Lower = smaller file, more compression artifacts.
Resize down to this width before compressing.

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Image Compressor: Reduce JPG, PNG, WebP File Size Without Visible Quality Loss

Our free Image Compressor reduces image file size while running entirely in your browser. Drop a file in, pick a target quality, choose output format, and download the compressed version. The original never leaves your device — no upload, no logging, no third-party server. Most photographs compress to 10-20% of original file size with zero perceptible quality loss. Most flat graphics compress to 30-50% of original. Repeat across a site's images and total page weight typically drops by 50-70%, which is the single largest performance gain available to most websites.

Image weight is responsible for 60-80% of total bytes on a typical webpage. Compress the images and the page becomes dramatically faster. Faster pages rank higher in Google (Core Web Vitals affect SEO ranking directly), retain more visitors (every additional second of load time roughly doubles bounce rate on mobile), cost less to serve (CDN bandwidth bills scale with bytes), and convert better (cart abandonment correlates with checkout-page weight). Of all the levers a webmaster can pull, image compression has the highest ROI.

How image compression actually works

There are two compression flavors. Lossless finds redundant data and stores it more efficiently — the original image is perfectly recoverable. PNG and lossless WebP are lossless. Typical savings: 10-30%. Lossy discards visual information that human eyes are less sensitive to — high-frequency detail in textures, subtle color variations, and noise in smooth areas — to achieve much greater savings. JPG, lossy WebP, and AVIF are lossy. Typical savings: 70-95% with imperceptible quality loss at 85%+ quality settings.

Lossy compression is one-way. Once data is discarded it's gone — re-saving a JPG at higher quality doesn't restore the original. This is why you should always compress from the highest-quality original you have access to, never from a previously compressed version. Generation loss compounds with each lossy save.

The "quality" slider on JPG and WebP controls compression aggressiveness. Lower quality = more aggressive discarding = smaller file = more visible artifacts. Higher quality = less discarding = larger file = less artifacts. The relationship is non-linear: dropping from 100% to 90% halves the file size with essentially no perceptible difference; dropping from 70% to 60% halves the file again but introduces noticeable blocking on flat regions.

The quality slider — what each setting does

100%: JPG still loses some data due to its block-DCT algorithm. WebP at 100% is effectively lossless. File size at 100% is roughly 25-40% smaller than uncompressed bitmap.

92-95%: Visually indistinguishable from the original on virtually all images. Recommended for archival, print masters, and hero imagery where quality is paramount.

85%: Web standard. Roughly 50% smaller than 95% with no perceptible quality loss to most viewers on most images. The right default for blog images, product photos, social-share graphics.

75% (our default): Aggressive web compression. Tiny artifacts visible in solid-color regions if you look very closely. Good for thumbnails, secondary images, mobile-optimized variants.

60%: Visible blocking on solid colors. Acceptable for very small thumbnails (under 200px) where compression artifacts are too small to notice on screen.

Below 50%: Heavy artifacts on most images. Use only when bandwidth is critically constrained and quality is secondary.

Different image types compress differently at the same quality setting. A landscape photograph (lots of natural texture, gradient skies) compresses gracefully — 75% looks great. A flat-color graphic (logos, charts, infographics) shows blocking at 75% but stays clean at 90%. Rendered 3D content with sharp edges compresses worst — push quality to 95%+ or use PNG.

Format choice — the single most impactful decision

JPG / JPEG. Universal compatibility, lossy compression, no transparency. Best for natural photographs. Worst for screenshots, line art, and anything with text — JPG artifacts ring text edges. Re-saving introduces generation loss.

PNG. Lossless, supports transparency. Best for screenshots, logos, illustrations, anything with crisp edges or text. Roughly 3-5× larger than JPG for photographic content. The right choice when you need transparency or when an image will be re-edited.

WebP. Modern format, 25-35% smaller than JPG at equivalent quality, supports transparency, has both lossy and lossless modes. Browser support: 97%+ globally. Use WebP as the default for new web work unless an old browser is a hard constraint.

AVIF. Even newer, even smaller — roughly 50% smaller than JPG at equivalent quality. Browser support 95%+ but encoder is slower than WebP. Excellent for static hero images where you can pre-encode.

HEIC. Apple's preferred format. iPhones save photos as HEIC by default. Web support varies; the compressor accepts HEIC and outputs JPG/PNG/WebP for web use.

Resize-while-compressing — the multiplier

The biggest savings come from combining resize and compress. A 4000×3000 photo at 5MB compressed to 75% quality is still 4000×3000, with the file maybe 1.5MB. Resizing to 1200×900 first then compressing yields about 200KB — a 96% reduction.

Don't skip the resize step. The browser doesn't care that the source was big; if your CSS displays the image at 1200px wide, browsers render it at 1200px wide regardless of source size. The 4000-pixel data is wasted bandwidth. Resize first, compress second.

The compressor's "max width" field does this automatically: enter the largest size the image will ever be displayed at, and the tool resizes down before compressing. Most websites can cap at 1920px max width and lose nothing visible.

Real-world workflows

Blog post hero image. Original 4000×3000 5MB JPEG from a stock photo site. Set max width 1920, output WebP at 85%. Result: 220KB. Drop into the post; LCP improves from 4.2s to 1.1s on mobile. Lighthouse score jumps 12 points.

E-commerce product gallery. 50 product photos at 4000×4000, 6MB each = 300MB total. Batch compress to 1500×1500 JPG 90% = 350KB each = 17.5MB total. Same crisp zoom on the product detail page, 95% smaller.

WordPress media library. Existing site with 800 unoptimized images. Run them through the batch compressor, replace originals. Page weight across the site drops 60%, mobile speed score climbs 20 points. No content changes; pure infrastructure win.

App marketing screenshots. 1284×2778 phone screenshots from Xcode. PNG at 1.5MB each. Need them at 1.5MB-each on the App Store. Compress to PNG-optimized (lossless reduction) — drop to ~500KB each with no visible difference. Or convert to WebP at 90% for ~120KB.

Email newsletter images. Email clients limit message size; oversized embedded images get stripped. Compress to under 100KB per image, JPG quality 80%, max width 600px. Email renders fast even on slow connections.

Documentation screenshots. Tutorial site with hundreds of UI screenshots. PNG is essential (text crispness), but PNG can be optimized via palette quantization and metadata stripping. The compressor's "optimize PNG" mode does this losslessly — typical 30-50% reduction.

Social media share images. 1200×630 OG images for blog posts. Original render is 350KB; compress to JPG 85% gives 80KB. Loads instantly when shared.

Portfolio photo gallery. Photographer's portfolio with 60 hero-quality images. Want fast loading without insulting the photography. JPG 92%, max width 2400 (retina-friendly): 600KB-1MB each, looks pristine on retina monitors, loads acceptably on broadband.

Programmatic ad assets. Display ads need to fit under platform limits (Google Display: 150KB max for most formats). Compress to 75% JPG, scale to exact ad size (300×250, 728×90, etc.).

Stock photography preview gallery. Need watermarked previews under 50KB each so a thousand can load fast in a search results grid. Compress aggressively — 60% JPG, 600px max width.

How much do you save?

Concrete numbers from a typical site audit. Original: 30 images per page average, 4MB total weight (130KB average). After compression: same 30 images, 800KB total weight (27KB average). Page LCP drops from 3.8s to 1.2s on 4G. SEO ranking lifts measurably over the next 30-60 days. CDN bandwidth bill drops 80%.

Multiply by traffic. A site serving 1 million pageviews per month at 4MB each = 4TB/month bandwidth. After compression, 800KB each = 0.8TB/month. At typical CDN rates ($0.05-0.10/GB), that's $200-400/month saved. Annualized: $2,400-4,800. The compressor pays for itself many times over compared to any paid alternative.

Common mistakes

1. Re-compressing already-compressed images. Each lossy round discards more data. If you save a JPG, then later open and save it again as JPG, quality degrades each time. Always compress from the highest-fidelity original — your camera RAW, the photographer's master, the design source file.

2. Compressing transparent PNGs as JPG. JPG doesn't support transparency. Forcing it fills the transparent areas with whatever background color the encoder picks (usually white). Check the source format and preserve transparency where it matters.

3. One-quality-fits-all. Quality 75% is fine for grid thumbnails but visibly weak on hero portfolio images. Match quality to display context.

4. Not testing on actual displays. Compression artifacts that disappear on a phone screen may be glaring on a 27-inch 4K monitor. Test at every device size your audience uses.

5. Compressing tiny images. A 100×100 thumbnail at 5KB doesn't benefit meaningfully from further compression — overhead dominates savings.

6. Forgetting to update the source files. If your CMS still references the old large image, compression of a downloaded copy doesn't help. Replace the asset in the CMS / image library.

7. Compressing to a different format without verifying compatibility. Switching from PNG to WebP across an old site can break image references in stylesheets that hard-code .png paths. Verify image references before bulk-converting.

Edge cases

PNG with palette already optimized. If a PNG was created by a tool with palette quantization (pngquant, pngcrush), further compression yields little. The compressor reports an estimated savings before processing — if it's <10%, skip.

Animated content. Animated GIFs reduce to a single frame in this compressor. Use a dedicated GIF/video tool to maintain animation, or convert to MP4 (typically 5-10× smaller than animated GIF).

Color-managed workflows. Embedded color profiles (Adobe RGB, ProPhoto, P3) get stripped on web export. The compressor normalizes to sRGB. For print or color-critical work, use a tool that preserves the source profile.

Source images with EXIF. The compressor strips EXIF by default (privacy-positive — phone GPS coordinates and camera serials are removed). Toggle on "preserve metadata" if you need EXIF retained for archival workflows.

Images larger than ~50MB. Browser memory limits canvas-based compression. For RAW files or extreme-resolution inputs, downscale first using a desktop tool.

Privacy

The compressor runs entirely in your browser. The image is read into memory, decoded, re-encoded, and downloaded — none of that touches a server. There's no analytics on file content, no sampling, no logging. Open browser DevTools and watch the Network tab while you compress: zero outbound requests beyond the initial page assets.

Sensitive use cases benefit most. Photos with people in them, screenshots of documents or chats, internal product imagery under NDA, medical imaging, identity documents. None of these need to leave your device for compression to work, and we built the tool to honor that.

Frequently asked questions

Why does my compressed image look fine on screen but bad when printed? Print resolution is typically 300 PPI (compared to 96 PPI screen), so artifacts that hide on screen become visible. For print use 95%+ quality and avoid aggressive resizing.

Can I compress GIFs? Static GIFs convert cleanly to PNG or JPG (usually smaller). Animated GIFs need a specialized tool; we recommend converting to MP4 video, which is 50-90% smaller.

How do I do lossless compression? Pick PNG output (always lossless) or pick lossless WebP. Both will reduce file size without altering pixel data.

Why is WebP smaller than JPG at the same quality? WebP uses more sophisticated prediction (intra-block prediction, similar to video codecs) and arithmetic entropy coding. The compute cost is slightly higher (slower to encode/decode) but quality-per-byte is meaningfully better.

Should I use AVIF? If your audience is on modern browsers (95%+ support) and you can tolerate a slower encode, AVIF gives the smallest files at any quality level. For real-time encoding (e.g., user uploads), WebP is faster.

What's the right balance of resize vs compress? Resize first to the actual displayed size, then compress to web-friendly quality (85% JPG, 80% WebP for most cases). Both work together. Resize alone misses the ~50% compression gains; compress alone misses the often-larger resize gains.

Why does my PNG not get smaller? PNG is already a compressed format. The biggest PNG wins come from palette quantization (reducing colors to 256 or fewer) and metadata stripping. The compressor's "optimize PNG" mode does both. If the PNG is already 256-color and metadata-clean, further compression yields little.

Does the compressor preserve transparency? When output format supports it (PNG, WebP), yes. JPG output flattens transparent areas to white.

What's the maximum image size? Limited by browser memory — typically up to 50MB or 40 megapixels reliably. Beyond that, use a desktop tool.

Can I batch? Drop multiple images at once and apply the same settings. For per-image custom settings, process individually.

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