Image Compressor
NewTrending 🔥Compress PNG, JPG and WEBP images with live before/after preview
How to Use Image Compressor
- 1Drop a PNG, JPG, or WEBP image
- 2Adjust the Quality slider (lower = smaller file)
- 3Set a Max Dimension if you want to downscale
- 4Click Compress Image
- 5Use the compare slider, then download
About Image Compressor
Image Compressor reduces image file sizes by adjusting quality and optionally downscaling dimensions — entirely in your browser.
An interactive before/after slider lets you compare the original and compressed image. Stats show the exact file size reduction percentage.
Key Features of Image Compressor
- Compress PNG, JPG, and WEBP images in seconds
- Adjustable quality slider for full control over size vs. quality
- Optional maximum dimension setting to downscale large images
- Interactive before/after comparison slider
- Real-time stats: original size, compressed size, reduction percentage
- Non-blocking processing via Web Workers — UI stays responsive
- Completely browser-based — your images never leave your device
- No file size limit imposed by any server
Supported Formats
Input Formats
Output Formats
Output format matches the input format. To convert format while compressing, use the Image Converter tool.
Examples
Compress a product photo for e-commerce
Reduce a large JPG product image to speed up page load without visible quality loss.
Input
product.jpg — 3.2 MB, 4000×3000 px, quality 100%
Output
product.jpg — 320 KB, 4000×3000 px, quality 80% — 90% reduction
Shrink a PNG screenshot for a blog post
Cut down a heavy PNG screenshot to a web-friendly size.
Input
screenshot.png — 1.8 MB, 2560×1440 px
Output
screenshot.png — 280 KB, 1280×720 px — 84% reduction
Common Use Cases
- Optimizing product images for faster e-commerce page loads
- Reducing blog post images to improve Core Web Vitals scores
- Shrinking images before uploading to a CMS or social media
- Compressing screenshots for documentation or tutorials
- Reducing image attachment sizes before sending by email
- Preparing web app assets to improve Lighthouse performance scores
Troubleshooting
Compressed file is larger than the original
Solution
This can happen with small PNG files that are already well-optimized. Lower the quality slider or try converting to WEBP for better results.
Visible pixelation or blurriness after compression
Solution
The quality setting is too low. Increase the quality slider to 75–85% for a better balance between file size and visual quality.
Image loses transparency after compression
Solution
Transparency is only preserved in PNG output. Make sure you are compressing a PNG and not converting to JPG.
Large image takes a long time to compress
Solution
Enable the maximum dimension option to downscale the image first, which dramatically speeds up compression.
Frequently Asked Questions
How much can file size be reduced?
Typically 50–90% depending on image content and quality setting.
Is the image uploaded to a server?
No. Compression runs in a Web Worker inside your browser.
What quality setting should I use?
For photos, 75–85% delivers the best balance. For screenshots or graphics with sharp edges, 85–90% is recommended to avoid blurriness.
Can I compress multiple images at once?
Currently the tool processes one image at a time. Upload, compress, download, then move to the next image.
Does compressing a PNG preserve transparency?
Yes. PNG compression preserves the alpha channel. Avoid converting a transparent PNG to JPG, which does not support transparency.
What is the maximum dimension option?
It sets the longest edge of the image in pixels. If your image is wider or taller than this value, it will be scaled down proportionally before compression, resulting in a much smaller file.
Does compressing a PNG preserve transparency?
Yes. PNG compression preserves the alpha channel. Avoid converting a transparent PNG to JPG, which does not support transparency.
What is the maximum dimension option?
It sets the longest edge of the image in pixels. If your image is wider or taller than this value, it will be scaled down proportionally before compression, resulting in a much smaller file.