Image Compressor

Stay in the 75-85 quality range - that's the sweet spot for photos. Most cameras and phones save JPEGs at around 95, which is overkill for web use. Drop to 80 and you'll usually save 40-60% on file size while the eye can't tell the difference at normal viewing distance. Always preview before saving, especially on faces, smooth gradients (skies, walls) and red areas - those reveal compression artifacts first. Below 70 you start seeing blocky 8x8 artifacts in flat regions. For client deliverables, I'd stay at 82-85 and trust the math.

Depends on what's in the picture. Photos with natural detail - landscapes, portraits, product shots - hold up well at JPG quality 75-85. Graphics with text, sharp edges, screenshots, logos: push to 85+ or skip JPG entirely and use PNG or WebP, because JPG smears clean edges. Anything with transparency must go PNG or WebP. WebP at quality 75 often beats JPG at 85 in both size and clarity. My rule for the team: photos default to 80, UI assets and graphics default to PNG, modern projects default to WebP wherever browser support allows.

Usually yes, often noticeably. At similar perceived quality, WebP files run roughly 25-35% smaller than JPG for typical photos. Google designed it that way - it uses better prediction and a more modern entropy coder than JPEG's mid-90s tech. The catch is decoder support. Every modern browser handles WebP fine now, but some older email clients, image viewers and editing apps still choke on it. For a website hero image, WebP wins easily. For a file you're emailing to a client to print, stick with JPG to be safe. Test the target environment.

Two things going on. First, if the source PNG was already optimized - run through pngquant, TinyPNG or similar - the canvas re-encoding step in a browser tool will often re-save it less efficiently and the file grows. Second, photo content is the wrong fit for PNG. PNG is lossless and great for flat colors, sharp edges and transparency, but it's terrible at compressing the millions of subtly-varying pixels in a photo. Convert that PNG to WebP or JPG and you'll often see 10x reductions. Match the format to the content type.

Yes - that's the whole point of the tool. The browser loads your image into a Canvas element, the Canvas API re-encodes it at the quality and format you choose, and the result is offered as a download. No server roundtrip, no upload bar, no copy of your file sitting on someone else's disk. Open DevTools and watch the Network tab while you compress - zero traffic. That matters when you're working on confidential client visuals or ID documents. Once the tab closes, nothing remains. Perfect for sensitive workflows.

Almost always, yes. If the source is 6000px wide and your website displays it at 1200px, you're shipping 25 times more pixels than needed. Resize first to roughly 2x the display width (so 2400px for a 1200px slot, to handle high-DPI screens), then compress. Dimensions usually save more bytes than quality tweaks alone - cutting from 6000 to 1500px shrinks pixel count by 16x, while dropping quality from 90 to 80 saves maybe 30%. Resize first, compress second, and you'll get the biggest wins with the least visible damage.

There's no single answer - it depends on the content. WebP is the default for modern sites: smaller files than JPG and PNG, supports transparency, lossy or lossless modes. JPG remains the safe bet for plain photos when you need maximum compatibility - email signatures, older CMSes, third-party platforms. PNG earns its keep for transparency, screenshots, logos and anything with sharp text edges. AVIF compresses even better than WebP but support is still patchy in some tools. My team's default is WebP with a JPG fallback served via the picture element.

Yes and no - depends on the type of compression. Lossy (JPG, WebP at default settings, AVIF) literally throws away pixel data the algorithm thinks you won't notice. At quality 80 you usually can't see the loss; at quality 30 you absolutely can. Lossless (PNG, WebP lossless) reduces size without changing a single pixel - pure mathematical packing. So compression doesn't automatically equal quality loss. The visible difference is what matters: 50% size reduction at quality 85 is a free win. Stay above 75 for photos and most viewers won't catch the difference.