Image Compressor & Optimizer
Compress, resize, and convert JPG, PNG, and WebP images locally with zero privacy loss.
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Aspect ratio is strictly preserved. If an image exceeds limits, it scales down proportionally.
How to Use This Tool
1
Select Photos
Drag and drop single or multiple JPG, PNG, and WebP pictures directly into the upload area.
2
Choose Compression
Fine-tune the quality slider, choose a target file size in KB, or switch to WebP for maximum storage savings.
3
Save Assets
Inspect the live before-and-after view, then download individual pictures or save all in a ZIP archive.
Frequently Asked Questions
What is the difference between lossy and lossless image compression?
Lossy compression discards unnoticeable visual information from image buffers to achieve massive reductions in file size. Lossless compression shrinks bytes without modifying pixel fidelity, which is ideal for diagrams and high-contrast typography.
Why is converting images to WebP recommended for storage reduction?
WebP is an advanced web format developed by Google offering superior predictive encoding. It routinely provides 25% to 34% smaller file sizes compared to standard JPEG while preserving crisp details and supporting transparent pixels.
How does this utility handle transparent PNG backgrounds?
When converting to WebP or keeping PNG, alpha channel transparency is preserved. If you convert transparent assets to JPEG, the browser fills transparent zones with a solid white matte, as JPEG does not support alpha channels.
Are my uploaded images secure and kept private on my device?
Yes, completely. Image compression and conversion run entirely within your local browser environment using native HTML5 Canvas and Blob APIs. No data packets or files are transmitted to external cloud servers.
How does the Target File Size (KB Mode) algorithm operate?
Target KB mode uses an automated binary search routine across compression quality parameters. It iteratively renders canvas blobs to discover the optimal quality factor that matches your requested byte threshold.
Optimizing Image Buffers...
Calculating binary quality parameters