Enterprise-Grade Image Processing

Our system operates on a zero-trust, zero-knowledge principle. Images are processed using WebAssembly and Canvas APIs entirely in your browser's sandboxed environment. We implement:

• SharedArrayBuffer for high-performance processing
• Hardware-accelerated canvas rendering
• Web Workers for parallel processing
• IndexedDB for temporary storage (auto-cleared)

Even if someone intercepted your network traffic, they'd see zero image data because nothing is ever transmitted.

Our compression engine uses multiple advanced techniques:

• Psychovisual optimization: Prioritizes colors human eyes notice most
• Adaptive quantization: Adjusts compression based on image complexity
• Chroma subsampling: 4:4:4 (lossless), 4:2:2 (balanced), or 4:2:0 (web)
• DCT optimization: Progressive frequency elimination

The quality scale (0.1-1.0) controls the quantization matrix. A value of 0.8 typically yields 70-80% size reduction with imperceptible quality loss.

We offer granular metadata control:

• Default: Preserves all EXIF, ICC profiles, and XMP data
• Privacy mode: Strips all metadata (GPS, camera info, timestamps)
• Web optimization: Keeps color profiles, removes personal data
• Custom: Selective metadata retention

Metadata is extracted using a pure-JS parser that never leaves the browser.

Limits depend on your device's memory and browser capabilities:

• Chrome/Edge: Up to 16,384 x 16,384 pixels (268MP)
• Firefox: Up to 32,767 x 32,767 pixels (1GP)
• Safari: Up to 16,384 x 16,384 pixels
• Memory impact: A 16MP image uses ~64MB of RAM

For images >100MP, we recommend 16GB+ RAM for smooth processing.

We use multiple fallback strategies:

• Native support: canvas.toBlob('image/webp') in modern browsers
• WebAssembly encoder: libwebp compiled to WASM for older browsers
• AVIF encoding: via dav1d WASM decoder/encoder
• Fallback chain: WebP → PNG → JPEG based on browser support

The system automatically detects capabilities and selects the best available encoder.

Yes, through our advanced pipeline:

• Supported RAW: CR2, CR3, NEF, ARW, DNG, RAF, PEF, ORF
• Processing: Demosaicing, white balance, color correction
• Output: 16-bit TIFF, PNG, or JPEG
• Performance: WebAssembly-optimized dcraw implementation

RAW files up to 100MB are processed with hardware acceleration.

Our aspect ratio engine uses floating-point precision with sub-pixel accuracy:

• Calculates ratio to 10 decimal places
• Applies Lanczos-3 resampling for edge preservation
• Anti-aliasing for non-integer scaling
• Smart padding options (contain, cover, fill, exact)

Example: 1920x1080 → 800x450 (perfect 16:9) automatically if only width specified.

Full color management pipeline:

• Input: sRGB, Adobe RGB, ProPhoto RGB, CMYK (converted)
• Processing: Linear light blending in 32-bit float
• Output: sRGB (web), Adobe RGB (print), or embedded ICC
• Precision: 8-bit, 16-bit, or 32-bit floating point

Color-accurate conversion ensures brand colors remain consistent.

Our batch engine uses Web Workers for parallel processing:

• Creates up to navigator.hardwareConcurrency workers
• Dynamic load balancing across CPU cores
• Progress tracking with cancel capability
• ZIP archive generation for multiple downloads

100 images typically process in under 3 seconds on modern hardware.

Yes, completely free with no limits:

• No watermarks on processed images
• No file size limits (only browser/hardware limits)
• No conversion limits - process millions of images
• No registration required
• Open source - transparent code

We monetize through optional donations and enterprise support contracts.