Size (KB) | Dimensions | |
---|---|---|
Original | {{ originalSizeKB }} | {{ originalWidth }} × {{ originalHeight }} |
Compressed | {{ compressedSizeKB }} | {{ compressedWidth }} × {{ compressedHeight }} |
Digital image compression reduces the byte-count needed to represent photographs or graphics while maintaining acceptable visual fidelity. By eliminating perceptually redundant data or encoding pixels more efficiently, compressed files travel faster across networks, load sooner on webpages, and occupy less space on phones, servers, and backups.
This browser-side tool accepts a source picture, desired quality percentage, output format, and optional dimension limits. A client-side compression routine decodes the bitmap, applies chroma subsampling and quantisation scaled to the quality slider, then re-encodes the pixels as JPEG, PNG, or WebP—no data leaves the page at any point.
Imagine trimming a 5 MB holiday snapshot to 1.5 MB before emailing relatives; the message sends quicker and receivers download on limited mobile data, yet the scene remains recognisable. *Over-compressing intricate imagery can introduce block artefacts, so always keep a high-quality original as a safety copy.*
Still-image compression exploits luminance sensitivity, spatial redundancy, and entropy coding to lower file size. Quality control modulates quantisation tables; optional resizing drops pixel-domain information; container choice (JPEG, PNG, WebP) determines entropy coder and colour subsampling. The balance among these variables shapes final fidelity and weight.
Quality Band | Visual Impact |
---|---|
90 – 100 % | Indistinguishable from source |
70 – 89 % | Balanced fidelity vs size |
50 – 69 % | Minor softness, good savings |
30 – 49 % | Noticeable artefacts on edges |
10 – 29 % | Strong blockiness and colour loss |
Choose a higher band when fine texture matters; select a lower band for thumbnails or quick previews.
Example: 4000 × 3000 px JPEG at 5 MB, quality 70 %, no resize.
Final file ≈ 1.5 MB; saving ≈ 68 %.
Compression strategies derive from widely studied discrete cosine transform theory and entropy coding fundamentals articulated by Wallace (1992) and Skodras et al. (2001).
No personal data leaves your device; processing occurs entirely within the browser sandbox.
Follow this sequence to generate a downsized file.
Lower quality increases quantisation, reducing file size but introducing blurring or blocking. Moderate values around 70 % balance detail and savings for most photos.
The engine can produce JPEG, PNG, or WebP. JPEG suits photos, PNG retains transparency, and WebP offers modern compression across most browsers.
Set “Preserve EXIF metadata” to retain camera settings and geotags. Disabling it removes personal data and saves additional space.
No file is uploaded or recorded; all operations run locally in memory. Closing or refreshing the page clears every reference.
When “Auto-rotate” is active, the tool reads the orientation flag and re-renders pixels upright before compression, preventing sideways previews.