Back to All Tools

Image Compressor

Compress images up to 80% smaller while maintaining visual quality. Reduce JPG, PNG & WEBP file sizes for faster websites & easy sharing. Free tool.

Upload an image to compress and reduce file size.

Supports JPG, PNG, WebP


About Image Compressor

How to Use (30 seconds)

  1. 1.Upload your image (JPEG, PNG, WebP, or BMP up to 50MB).
  2. 2.Select compression type: Lossy (smaller files, slight quality loss) or Lossless (no quality loss, moderate reduction).
  3. 3.Adjust quality slider (1-100) for lossy, or optimization level (1-9) for lossless compression.
  4. 4.Preview file size reduction percentage and download compressed image.

Compression Algorithms Explained

JPEG Lossy Compression (Quality-Based)

JPEG uses Discrete Cosine Transform (DCT) combined with quantization to achieve compression. The process:

  1. Color space conversion: RGB → YCbCr (separates brightness from color)
  2. Chroma subsampling: Reduces color resolution (human eyes are less sensitive to color detail)
  3. Block splitting: Divides image into 8×8 pixel blocks
  4. DCT transformation: Converts spatial pixel data into frequency coefficients
  5. Quantization: Divides coefficients by quantization matrix values, discarding high-frequency details
  6. Entropy encoding: Huffman coding compresses the quantized data
Quantized(u,v) = round(DCT(u,v) / Q(u,v))

Where Q(u,v) is the quantization matrix scaled by quality factor. Lower quality = larger Q values = more data discarded = smaller file size.

Quality Slider Mapping:

  • 1-30: Heavy quantization (Q matrix × 3.33-1.67) – visible blocking artifacts
  • 31-70: Moderate quantization (Q matrix × 1.66-0.71) – balanced compression
  • 71-90: Light quantization (Q matrix × 0.70-0.28) – minimal artifacts
  • 91-100: Minimal quantization (Q matrix × 0.27-0.01) – near-lossless quality

PNG Lossless Compression (Deflate Algorithm)

PNG uses DEFLATE compression (combination of LZ77 and Huffman coding) with adaptive filtering:

  1. Filter selection: Applies one of 5 filters per scanline to improve compressibility
    • None (0): No transformation
    • Sub (1): Difference from left pixel
    • Up (2): Difference from above pixel
    • Average (3): Difference from average of left and above
    • Paeth (4): Difference from Paeth predictor (adaptive algorithm)
  2. LZ77 compression: Finds repeating byte sequences and replaces with back-references
  3. Huffman encoding: Assigns shorter codes to frequent symbols

Optimization Levels (1-9):

  • Level 1-3: Fast compression, minimal search depth (compression ratio: 1.2-1.5×)
  • Level 4-6: Balanced speed/size, standard search (compression ratio: 1.5-2.0×)
  • Level 7-9: Maximum compression, exhaustive search (compression ratio: 2.0-3.5×)

Processing time increases exponentially: Level 9 takes ~15× longer than Level 1 for identical output quality.

WebP Compression (Hybrid Mode)

WebP supports both lossy (VP8 video codec) and lossless (predictor + LZ77) modes:

  • Lossy WebP: Block-based prediction + DCT transform (25-35% smaller than JPEG at same quality)
  • Lossless WebP: Spatial prediction + LZ77 (26% smaller than PNG on average)
  • Alpha channel: Compressed separately using lossless compression

Understanding Compression Results

Expected Compression Ratios by Content Type

Image TypeJPEG Quality 70PNG Level 6WebP Quality 80
Photographs (Natural Scenes)60-80% reduction10-30% reduction65-85% reduction
Screenshots (UI Elements)40-60% reduction50-70% reduction70-85% reduction
Graphics/Logos (Flat Colors)30-50% reduction60-80% reduction75-90% reduction
Text Documents (Scans)50-70% reduction70-85% reduction80-92% reduction
Gradients (Smooth Transitions)55-75% reduction20-40% reduction60-80% reduction

Quality Degradation Benchmarks

Visual quality thresholds (JPEG):

  • Quality 90-100: Imperceptible quality loss (PSNR > 40 dB)
  • Quality 75-89: Excellent quality, suitable for professional use (PSNR 35-40 dB)
  • Quality 60-74: Good quality, standard web use (PSNR 30-35 dB)
  • Quality 40-59: Visible compression artifacts, acceptable for thumbnails (PSNR 25-30 dB)
  • Quality < 40: Significant blocking and color banding (PSNR < 25 dB)

PSNR (Peak Signal-to-Noise Ratio) measures compression quality. Values above 30 dB are generally acceptable for web use.

Professional Optimization Techniques

💡 Pro Tip: The 80-20 Sweet Spot

Most compression tools don't explain the nonlinear relationship between quality and file size. Here's what industry professionals know:

  • Quality 100 → 85: 40-60% file size reduction with virtually no perceptible quality loss
  • Quality 85 → 70: Additional 20-30% reduction, minor artifacts only visible at 200% zoom
  • Quality 70 → 50: Additional 15-25% reduction, noticeable quality degradation begins

Optimal web delivery: Quality 82-85 for JPEG, Quality 80-85 for WebP. This is where you get 50-70% reduction with imperceptible quality loss to human eyes on standard displays.

💡 Pro Tip: Prevent Generational Loss

Every time you save a JPEG, quality degrades—even at Quality 100. This is called generational loss. Professional workflow to avoid this:

  1. Always keep original RAW/PNG master files (never edit compressed JPEGs)
  2. Edit in lossless formats (PNG, TIFF, PSD) during creation phase
  3. Compress to JPEG only once as the final export step
  4. Never re-compress JPEGs: Converting JPEG → PNG → JPEG doesn't recover lost data

If you must re-edit a JPEG, use Quality 95+ to minimize additional degradation, or convert to PNG for intermediate edits.

💡 Pro Tip: Chroma Subsampling Settings

JPEG allows different chroma subsampling ratios that drastically affect file size without visible quality loss:

RatioDescriptionFile SizeUse Case
4:4:4No subsamplingBaseline (100%)Print, archival
4:2:2Half horizontal resolution~85%High-quality web
4:2:0Half horizontal + vertical~75%Standard web (default)

Most web images use 4:2:0 subsampling automatically. For images with critical color detail (product photography, fashion), manually specify 4:4:4 to preserve color accuracy at the cost of 20-25% larger files.

Compression Strategy by Use Case

📱 Social Media Uploads

Recommended: JPEG Quality 70-75 or WebP Quality 75-80

Platforms re-compress uploads anyway. Pre-compressing prevents double compression artifacts. Instagram applies ~Quality 55, Facebook ~Quality 60, Twitter ~Quality 85.

🌐 Website Performance

Recommended: WebP Quality 82 with JPEG Quality 85 fallback

WebP achieves 25-35% smaller files than JPEG. Use <picture> element for progressive enhancement. Target: Hero images <200KB, thumbnails <50KB.

📧 Email Attachments

Recommended: JPEG Quality 75-80, max dimension 1920px

Most email providers have 20-25MB attachment limits. Resize + compress before sending. For documents with text, use PNG Level 6 or convert to PDF.

🖨️ Print Preparation

Recommended: JPEG Quality 95-100 or lossless PNG/TIFF

Print reveals compression artifacts invisible on screens. Maintain 300 DPI resolution. For professional printing, use uncompressed TIFF or PNG to preserve maximum detail.

💾 Cloud Storage/Backup

Recommended: PNG Level 9 (lossless) or JPEG Quality 92

Balance storage cost vs. quality preservation. PNG Level 9 takes longer to compress but produces smallest lossless files. For large photo libraries, JPEG Quality 92 reduces size by 40-60% with negligible quality loss.

Format Selection Decision Tree

ScenarioBest FormatWhy
Photographs with complex detailJPEG or WebP (lossy)Natural images compress 60-80% with minimal perceptible loss
Images requiring transparencyPNG or WebPJPEG doesn't support alpha channels
Screenshots, UI mockups, diagramsPNG (lossless)Sharp edges compress better with lossless; JPEG creates artifacts
Modern web with broad supportWebP (96% browser support)Best compression ratio, supports both lossy and lossless
Maximum compatibility (email, legacy)JPEGUniversal support across all platforms and devices
Archival/medical imagingPNG or TIFF (lossless)No quality degradation over time or multiple saves

Common Compression Mistakes

❌ Compressing already-compressed images

Re-saving a JPEG at Quality 100 doesn't restore lost data—it just adds more artifacts. Check file metadata: if source is already JPEG, use Quality 92+ or convert to PNG for editing.

❌ Using PNG for photographs

PNG files of natural photos are 3-5× larger than equivalent-quality JPEG. Use PNG only for images needing transparency, text, or sharp edges. A 5MB PNG photo becomes 800KB as JPEG Quality 85 with no visible difference.

❌ Ignoring image dimensions

Compressing a 6000×4000px image to Quality 50 still produces a large file. Always resize to display dimensions first: a 1920×1280px image at Quality 85 is smaller and sharper than 6000×4000px at Quality 50.

❌ Using lossless for massive photo libraries

Storing 10,000 photos as PNG instead of JPEG wastes 70-80% storage. For archival, JPEG Quality 92-95 preserves 99% perceptual quality while saving terabytes of space.

Processing Specifications

Supported Formats

  • Input: JPEG, PNG, WebP, BMP, TIFF
  • Output: JPEG, PNG, WebP
  • Max file size: 50MB
  • Max resolution: 16,384 × 16,384px
  • Color depth: 8-bit and 16-bit support

Performance Metrics

  • Processing: Client-side (browser)
  • Privacy: No server upload required
  • Speed: ~2-5 seconds for 5MB image
  • Metadata: EXIF preserved (optional)
  • Batch: Up to 50 images simultaneously

Advanced Optimization Parameters

Available Advanced Controls:

  • Resize dimensions: Specify max width/height while preserving aspect ratio
  • Strip metadata: Remove EXIF/GPS data for privacy (reduces file size by 10-50KB)
  • Progressive encoding: JPEG loads in multiple passes (better UX, 2-5% larger files)
  • Chroma subsampling: Manual control over 4:4:4, 4:2:2, or 4:2:0 ratios
  • Optimization passes: Multi-pass encoding for optimal Huffman tables (1-5% better compression)

Expected Output Size Formula

Estimate compressed file size before processing:

Compressed Size ≈ (Width × Height × Bytes_per_Pixel × Quality_Factor) / Compression_Ratio

Where:

  • Bytes_per_Pixel: 3 for RGB, 4 for RGBA
  • Quality_Factor: (Quality / 100) for JPEG
  • Compression_Ratio: ~20:1 for photographs (JPEG Q75), ~3:1 for screenshots (PNG)

Example: 1920×1080 RGB photo at JPEG Quality 75 → (1920 × 1080 × 3 × 0.75) / 20 ≈ 233 KB

Format Browser Support (2026)

FormatBrowser SupportMobile SupportFallback Strategy
JPEG100%100%None needed (universal)
PNG100%100%None needed (universal)
WebP96% (Chrome, Edge, Firefox, Safari 14+)98% (iOS 14+, Android 4.4+)Provide JPEG fallback via <picture>
AVIF78% (Chrome 85+, Firefox 93+)Limited (Android 12+)Provide WebP + JPEG fallbacks

Technical References

  1. [1] Wallace, G. K. (1992). The JPEG Still Picture Compression Standard. IEEE Transactions on Consumer Electronics, 38(1), xviii-xxxiv. doi:10.1109/30.125072 (JPEG compression algorithm specification)
  2. [2] Boutell, T., et al. (2003). PNG (Portable Network Graphics) Specification, Version 1.2. W3C Recommendation. Retrieved from https://www.w3.org/TR/PNG/ (PNG format and DEFLATE compression standards)

All compression algorithms implemented according to ISO/IEC standards (JPEG: 10918-1, PNG: 15948). Processing occurs client-side using WebAssembly-optimized encoders. No image data transmitted to external servers.