Picking an image format affects file size, load time, and whether transparency is even possible — and the "best" format changes depending on what's actually in the image.
Lossy vs. lossless, briefly
- Lossy compression permanently discards some image data to shrink file size — done well, it's imperceptible; overdone, it produces visible blocky artifacts
- Lossless compression shrinks the file without discarding any data — perfect quality, but a smaller size reduction than lossy
JPG (1992)
Built specifically for photographs — real-world images with smooth gradients and millions of colors.
- Strengths: small file sizes for complex photos, supports 24-bit color, universal support everywhere
- Weaknesses: no transparency; lossy compression degrades further with every re-save; noticeably bad for flat colors, sharp text, or line art (produces visible ringing/blockiness around hard edges)
- Use for: photographs, complex gradients, anywhere transparency isn't needed
PNG (1995)
Originally a patent-free alternative to GIF; became the standard for anything needing crisp edges or transparency.
- Strengths: lossless (zero quality loss on repeated saves), full alpha channel transparency (including partial/soft transparency, not just on/off), sharp for text and line art
- Weaknesses: much larger files for photographic content specifically, since lossless compression can't shrink complex photos the way lossy compression can
- Use for: logos, icons, screenshots, anything with transparency or sharp typographic edges
WebP (2010, Google)
Designed to combine JPG's small file sizes with PNG's feature set (transparency, and a lossless mode).
- How it compresses: uses predictive coding — encoding a block based on neighboring blocks' pixel values and storing only the difference, which is more efficient than JPG's older block-based DCT approach for many images
- Compression claims: Google's own benchmarks cite roughly 25-34% smaller file sizes than comparable JPGs in lossy mode, and about 26% smaller than PNG in lossless mode. These are vendor figures from testing a specific image set — actual savings vary by image content, and the gap is typically larger for photos than for simple graphics. Testing your own images is the only way to know your actual savings.
- Weaknesses: very old browsers/software may lack support, though this is now a minor concern — all major current browsers support it
- Use for: general web use where performance matters, transparency + small file size, and animated images (a more efficient alternative to GIF)
Check the actual difference on your own images
Rather than trusting benchmark percentages, compare directly:
# Using cwebp (Google's WebP encoder) alongside your original files
cwebp -q 80 photo.jpg -o photo.webp
ls -la photo.jpg photo.webp
from PIL import Image
import os
img = Image.open("photo.png")
img.save("photo.webp", "WEBP", quality=80)
print(f"PNG: {os.path.getsize('photo.png')} bytes")
print(f"WebP: {os.path.getsize('photo.webp')} bytes")
Running this on a handful of your actual images tells you the real savings for your specific content, rather than relying on a vendor's benchmark image set.
Format and SEO
Page speed is a documented Google ranking factor, and images are often the heaviest assets on a page. Practical steps that matter more than format choice alone:
- Resize before uploading — a 4000px-wide image displayed at 800px wastes bandwidth regardless of format
- Use descriptive filenames —
blue-running-shoes.jpgoverIMG_1234.jpg, for both accessibility and minor SEO context - Add alt text — for accessibility and to give search engines context about image content
- Pick format based on content type, not habit — a photo saved as PNG is usually the single biggest easy win available, often shrinking 60-80%+ by switching to JPG or WebP
The short version
- JPG — photos, universal compatibility, transparency not needed
- PNG — transparency or sharp text/line art, some size cost accepted
- WebP — best all-around if browser support for your audience is a non-issue (true for almost all modern traffic), combining small size with transparency support
If you're converting existing images, ToolSink's image converters handle common format swaps directly in your browser — check the specific conversion you need is supported before assuming, since not every format pair may be available.