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HomeImage ToolboxCompress & OptimizeImage Compressor

Image Compressor

Compress JPG, PNG and WebP images directly in your browser with an adjustable quality slider, format conversion, and real-time before/after size comparisons.

All image decoding, canvas scaling, and compression execute locally in browser memory. No image files or pixel data are uploaded to or stored on any server.

Upload an image to get started.

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What is Image Compressor?

Image Compressor reduces image file sizes directly on your device to accelerate website page speeds, fit email attachment limits, and conserve storage space. By executing entirely inside your browser via the HTML5 Canvas API, your photos and graphics are re-encoded locally without uploading files to any external cloud server. The tool lets you adjust compression quality from 10% to 100% and choose between universal JPEG or modern high-efficiency WebP output formats. Note that compression is lossy: EXIF and camera metadata are stripped, animated images are flattened to their first frame, and JPEG conversion fills transparent areas with white since the JPEG format does not support alpha channels.

How to use Image Compressor

  1. 1Upload an image file (JPG, PNG, WebP, GIF, or BMP) by dragging it into the dropzone or clicking to browse.
  2. 2Select your desired output format: WebP for superior compression with transparency support, or JPEG for maximum compatibility.
  3. 3Adjust the Quality slider (70%–85% recommended) to balance compression savings with visual sharpness.
  4. 4Review the original and compressed file sizes and preview image side by side.
  5. 5Click "Download" to save the compressed image directly to your device.

Key features

Adjustable Quality Slider

Control lossy quantization from 10% to 100% to fine-tune visual fidelity against file size.

JPEG & WebP Export

Output to universal JPEG or modern lightweight WebP for optimal compression ratios.

Real-Time Size Comparison

Displays exact original and compressed byte counts with calculated percentage change.

Client-Side Canvas Processing

Processes images locally in browser memory without sending data to any external server.

Transparency Handling

Preserves alpha transparency in WebP, and cleanly flattens transparent pixels to white for JPEG.

Zero Installation Required

Runs instantly in modern web browsers across desktop, tablet, and mobile operating systems.

Examples & use cases

High-Resolution JPEG Photo (4.2 MB to 780 KB)

Compressing a 4.2 MB smartphone photo at 75% quality produces a 780 KB JPEG file with negligible visible difference, saving approximately 82% bandwidth.

Transparent PNG to Modern WebP (1.8 MB to 340 KB)

Converting a 1.8 MB transparent product PNG to WebP at 80% quality retains alpha transparency while reducing file size by 82%.

Small Icon or Already-Compressed File

Re-encoding an already optimized 20 KB image at 95% JPEG quality may result in an equal or slightly larger file due to DCT re-quantization.

Frequently asked questions

Both JPEG and WebP compression in this tool use lossy encoding algorithms. Moderate settings between 70% and 85% significantly reduce file size with virtually undetectable visual loss. Settings below 50% may introduce visible compression artifacts, color banding, or blurriness.
WebP is a modern web format that typically achieves 25% to 35% smaller file sizes than JPEG at equivalent visual quality, and it natively supports alpha transparency. JPEG is universally supported across virtually all operating systems, legacy software, and email clients, but does not support transparency.
When exporting to WebP, alpha transparency is preserved. When exporting to JPEG, transparent areas are automatically rendered on a clean white background, preventing the black background artifacts that typically occur when flattening transparent PNGs to JPEG.
Yes. If you re-encode an already heavily compressed image or a very simple graphic with flat colors at a high quality setting (such as 90%–100%), the browser re-encodes the pixel matrix, which can occasionally yield a file size larger than the original. In such cases, the tool clearly displays the percentage increase.
No. Re-encoding through the HTML5 Canvas API strips all EXIF metadata, camera settings, GPS location tags, and color profiles, resulting in a cleaner, more private image with reduced overhead.
When an animated GIF is uploaded, the HTML5 Canvas API extracts and compresses only the first frame as a static image. Multi-frame GIF compression is not supported by standard 2D canvas re-encoding.
No. All image decoding, canvas manipulation, and compression re-encoding occur purely in your local browser memory. No image files or data bytes are transmitted to any server.

Helpful guides & tutorials

How to Compress Images for the Web Without Losing QualityRead tutorial →
JPG vs WebP: Modern Web Image Compression & Performance ComparisonRead tutorial →
JPG vs PNG: Image Format Differences, Transparency & CompressionRead tutorial →

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