Reduce image file size without losing quality — runs 100% in your browser
This compressor uses HTML5 Canvas to decode, resize, and re-encode images. The input image is drawn onto a canvas at the target dimensions, then canvas.toBlob() exports it in the selected format with the specified quality parameter. For JPEG/WebP, the quality controls quantization table aggressiveness — lower quality means more aggressive lossy compression. PNG uses DEFLATE (lossless) so the quality slider has minimal effect. WebP typically achieves 25-35% better compression than JPEG at equivalent visual quality.
Real-world use cases:
This tool is part of the FAK LAB ecosystem, founded by Faizan Ahmad Khan Khichi. All image compression happens 100% in your browser using Canvas API. Your photos — including personal pictures, proprietary designs, or sensitive documents — are never uploaded to any server. Images are decoded into memory, processed, and the compressed result exists only in your browser until you download it. No thumbnails are cached, no metadata is logged.
For web images, 75-85% quality provides an excellent trade-off — typically 60-75% file size reduction with imperceptible quality loss on screen. Below 60%, compression artifacts (banding, blocking, blur) become noticeable. Above 90%, file size increases significantly with minimal visual improvement that most users cannot perceive.
WebP produces 25-35% smaller files than JPEG at equivalent visual quality — developed by Google specifically for web performance. All modern browsers support it (Chrome, Firefox, Safari, Edge since 2020). Use WebP for websites; use JPEG only if you need compatibility with very old software or email clients.
Yes. Canvas-based compression strips all EXIF data (camera info, GPS location, timestamps, orientation). This is actually a privacy benefit — no personal metadata leaks when sharing compressed images. If you need to preserve EXIF, you'd need a library-based approach rather than Canvas re-encoding.