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    About

    Professional photographers and content creators often require a reliable method to combine multiple images into a single cohesive layout. This tool addresses the specific need for high-resolution composition without the privacy risks associated with server-side processing. When you upload photos to cloud-based editors, you often lose control over the source files or suffer from aggressive compression algorithms that degrade the visual fidelity. This local application solves that problem by utilizing the computing power of your own device.

    Accuracy in pixel mapping is critical when preparing files for print or high-density displays. A miscalculation in the aspect ratio or a rounding error in the coordinate system can result in unwanted white lines (aliasing) between grid cells or blurry upscaling. By strictly adhering to integer-based coordinate logic and allowing user-defined dimensions, we ensure that the final output preserves the maximum possible clarity from the source material. The system supports complex grid definitions and handles masking operations dynamically.

    The mathematical foundation involves calculating the optimal coverage of a target rectangle \( R \) by a source image \( S \). This requires computing the scaling factor \( k \) such that the resulting dimensions meet or exceed the target area while centering the content. This is often referred to as a "cover" fit in computer graphics. Furthermore, the application manages the z-index stacking implicitly through the drawing order, ensuring that borders and background fills render correctly behind the masked image layers.

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    Formulas

    When fitting an image into a grid cell, we calculate the aspect ratio \( R \) to determine whether to crop vertically or horizontally. The aspect ratio is defined as:

    R = wh

    To perform a "Cover" fit (similar to CSS object-fit: cover), the scaling factor \( S \) is determined by comparing the image ratio \( R_{img} \) and the container cell ratio \( R_{cell} \):

    {
    S = wcellwimg if Rimg > RcellS = hcellhimg otherwise

    The final export resolution \( N_{pixels} \) depends on the chosen canvas width \( W \) and height \( H \), typically set to maximize quality.

    Reference Data

    Format NameDimensions (Inches)Dimensions (mm)Pixel Resolution (300 PPI)Aspect RatioMegapixels
    Wallet2.5 × 3.563.5 × 88.9750 × 10501:1.40.79
    Standard Print4 × 6101.6 × 152.41200 × 18002:32.16
    Square Social4 × 4101.6 × 101.61200 × 12001:11.44
    Enlargement (5x7)5 × 7127 × 177.81500 × 21005:73.15
    Standard Portrait8 × 10203.2 × 2542400 × 30004:57.20
    Letter8.5 × 11215.9 × 279.42550 × 33001:1.298.42
    Medium Poster11 × 14279.4 × 355.63300 × 420011:1413.86
    Large Poster16 × 20406.4 × 5084800 × 60004:528.80
    Digital 1080pN/AN/A1920 × 108016:92.07
    Digital 4K UHDN/AN/A3840 × 216016:98.29
    Instagram PortraitN/AN/A1080 × 13504:51.46
    Instagram StoryN/AN/A1080 × 19209:162.07

    Frequently Asked Questions

    We utilize the HTML5 Canvas API and the FileReader API. This keeps all data strictly within your browser's memory sandbox. No files are ever uploaded to an external server, which eliminates transfer latency and guarantees privacy for sensitive photos.
    The tool defaults to a canvas size of 2400x2400 pixels to ensure high-quality prints up to 8x8 inches at 300 DPI. However, the theoretical limit depends on your device's GPU and browser memory limits (typically up to 8000x8000 pixels on modern desktops).
    Once images are uploaded, they appear in the "Image Layer" list. You can click the "Move Up" or "Move Down" arrows (or similar controls) to change their sequence. The grid layout engine fills cells sequentially, so changing the order effectively swaps the image positions in the final grid.
    Yes, in most cases. To maintain a perfect grid structure, the tool applies a "center-weighted crop" (object-fit: cover). This ensures every cell is completely filled without stretching or distorting the image. You cannot manually pan the image inside the cell in this version, so pre-cropping critical subjects is recommended.
    Yes. If you upload PNGs with transparency and select a grid layout, the background color you choose will show through the transparent areas of your images. This is useful for creating logo composites or product showcases.
    The layouts themselves remain mathematically constant. However, if your mobile screen is narrow, the preview canvas scales down visually to fit your viewport. The actual downloaded file will maintain the full high-resolution dimensions regardless of screen size.