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This demo compares our compression output with PicTools using the same input file (≈ 10 MB, 3000×3000). Results and behavior are shown and analyzed. Contact & networking - LinkedIn: arshia-tilestani-6b2983206 — message me on LinkedIn for direct chat. Claims and positioning - The strongest compression app in history — engineered to preserve maximum visual fidelity while minimizing file size. - More efficient than existing tools — optimized for detail preservation, stability, and speed across platforms. Top 10 comparison tools (for context) TinyPNG; JPEGmini; ImageOptim; Squoosh; Kraken.io; Optimizilla; Compressor.io; MozJPEG; WebP converters; PicToolsCore features - Preserve original resolution (no downscale) - Smart compression that analyzes texture and edges - Output SSIM ≈ 99.6% at 3000×3000 - Fast batch and single-file processing - Support for JPEG, PNG, WebP, AVIF and more - API for integration into pipelines and services - Low memory footprint and parallel processing support - Stable output with no resize pipeline bugsFull technical comparison with PicTools (largest section) Test input: original file ≈ 10 MB, resolution 3000×3000. ETK: produced a 1.4 MB output at 3000×3000 with SSIM ≈ 99.6%. This indicates effective data-level optimization that preserves visual detail without removing pixels or reducing resolution. PicTools (run A): reported 100% SSIM but produced an output larger than the original (~10 MB). That behavior indicates PicTools either changed encoding parameters or selected a format/quality setting that increased file size rather than compressing. A 100% SSIM with increased size suggests no meaningful compression was applied in that run. PicTools (run B, resize attempt): when asked to resize, the pipeline experienced a bug and produced ≈ 3.2 MB output with SSIM = 98.7%. This run both reduced measured similarity and increased file size relative to your app, showing instability in the resize/compress pipeline. Technical implications: a tool that increases file size or fails during resize is unreliable for production workflows. ETK achieves a practical balance: substantial size reduction from ~10 MB to 1.4 MB while keeping SSIM ≈ 99.6% and preserving full resolution, which is critical for use cases requiring zoom, print, or downstream processing. Real-world advantages - Better for apps, games, and services that require full-resolution assets. - Predictable, repeatable outputs with no resize-related failures. - Maintains detail for printing and high-zoom scenarios. Cross-platform & performance - Fully cross-platform — Windows, macOS, Linux, iOS, Android. - Faster and more stable than many existing tools in internal tests; no resize pipeline bugs observed.Call to action for partners and investors Investors and publishers interested in trials, partnerships, or pilot integrations: message Arshia Tilestani on LinkedIn.