Compress images online

AwesomeToolkit supports JPG, PNG and WebP formats. Compression runs in your browser via the Canvas API — no file is ever sent to our servers.

PNG is a lossless format: quality-based compression has no effect on it. To significantly reduce a PNG file size, we recommend converting it to WebP or JPG, which support lossy compression.

No. All compression happens directly in your browser via the Canvas API. Your images never leave your device.

Yes, you can select or drag and drop multiple images at once. Each image is compressed at the chosen level and available for individual download.

Use the Strong level for maximum size reduction. For even better web results, convert your images to WebP first using our conversion tools — WebP is up to 34% lighter than JPG at the same quality.

Lossy compression (used by JPG and WebP) permanently removes visual data that the human eye rarely notices, producing much smaller files. Lossless compression (used by PNG) reorganises data without discarding anything — the decompressed image is bit-for-bit identical to the original. For photos, lossy is almost always the better choice; for graphics with sharp edges or text, lossless preserves clarity.

No. Compression only affects file size, not pixel dimensions. A 4000 × 3000 px photo will remain 4000 × 3000 px after compression. If you also need to change the dimensions, use our Resize Image tool.

It depends on the source. An uncompressed DSLR JPG can typically be reduced by 60–80% at Medium quality with no perceptible loss. A photo that was already compressed at 80% quality will see smaller gains — usually 10–25% — because most of the removable data is already gone.

Yes. Once the page has loaded, all compression runs inside your browser with no server communication. You can disconnect from the internet and continue using the tool with full functionality.

There is no hard limit imposed by the tool. The practical limit depends on your browser and available RAM. Modern browsers handle files up to 50–100 MB without issues. For extremely large images, make sure you have enough free memory and consider processing them one at a time.