Image Compressor
Compress JPG, PNG, and WEBP images online without losing visible quality. Reduce file sizes by up to 90% — perfect for websites, email attachments, and social media uploads. All processing runs in your browser so your images are never uploaded to any server.
How to Use Image Compressor
- 1
Upload your images
Click the upload area or drag and drop one or more JPG, PNG, or WEBP files. You can add multiple images at once for batch compression.
- 2
Set quality level
Adjust the quality slider. 80% is the sweet spot for most images — near-invisible quality loss with significant file size reduction. Lower for smaller files, higher to preserve fine detail.
- 3
Compress
Click the Compress button. Processing happens instantly in your browser using the HTML5 Canvas API — no server upload required.
- 4
Review savings
See the original vs compressed file size for each image along with the percentage saved. A green summary shows your total savings across all files.
- 5
Download
Download each compressed image individually, or use the Download All button to get every file in one go.
When to Use This Tool
Quick Reference
About Image Compressor
The Image Compressor reduces the file size of JPG, PNG, and WebP images while preserving visual quality. Smaller images load faster, consume less storage, and meet file size limits on email, social media, and web forms — making image compression one of the most practical tools for anyone who works with digital photos or graphics regularly.
Image compression is essential for:
- Reducing website image file sizes to improve page load speed and Core Web Vitals scores
- Fitting images within email attachment size limits without quality loss
- Compressing product photos to meet marketplace file size requirements
- Reducing storage usage on cloud services and phones without deleting photos
- Optimizing social media images for faster sharing and upload
The compressor uses different algorithms per format. For JPGs, it adjusts the quantization tables used in the Discrete Cosine Transform (DCT) compression step — lower quality settings use coarser quantization tables that discard more high-frequency detail, achieving smaller files at the cost of visible compression artifacts at very low settings. For PNGs, it applies pngquant-style palette quantization to reduce bit depth from 32-bit to 8-bit where possible, combined with zlib compression level tuning. For WebP, it uses the Google libwebp encoder's quality parameter. All three methods are lossy for photographs but can achieve 60–90% size reduction at perceptually lossless quality levels.
Input formats: JPG, PNG, WebP, BMP, GIF. Quality slider: 0–100 (80–90 recommended for photographic content). Output format: same as input (JPG→JPG, PNG→PNG) or convert to WebP for maximum compression. Batch support: compress multiple images at once. All processing is browser-based.
The entire compression operation runs locally in your browser using JavaScript image processing libraries compiled to WebAssembly. No images are uploaded to any server. For web optimization specifically, after compressing you should also consider resizing images to the exact display dimensions to eliminate unnecessary pixels.
Pro Tips for Image Compressor
For web images, target 100–150KB for content images and under 50KB for thumbnails — this keeps page load under 2 seconds on mobile connections.
WebP format achieves 25–35% smaller files than JPG at the same visual quality — convert to WebP for all web images where browser support allows.
Never compress an already-compressed JPG — each compression cycle degrades quality cumulatively. Always compress from the highest-quality source file.
For e-commerce product images, 85% JPG quality is the industry standard — it produces imperceptible quality loss with significant size reduction that speeds up product page loading.
Frequently Asked Questions
Related Image Tools
Your input is processed locally in your browser and is never stored, transmitted, or shared with any server. See our Privacy Policy.