Pixel Art Resizer

A precise pixel art image resizer for artists and game developers to scale sprites while preserving hard edges and color fidelity.

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796+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how Pixel Art Resizer processes input data instantly inside your browser.

Sample Input Image dimensions: 4000 x 3000 pixels (File size: 5MB PNG)
Computed Result Output WebP Image: 1920 x 1440 pixels (File size: 350KB, 88% reduction)
Execution Mode Client-Side In-Browser JS
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About This Tool

Purpose & User Intent: The Pixel Art Resizer is a domain-focused image processing tool used to resize pixel art assets for games, icons, and sprites. Intended users include solo developers, asset shops, artists, and toolchains that require predictable scaling. Typical use cases include upscaling 8x8 sprites to 32x32, converting a limited palette spritesheet to a larger canvas, or preparing assets for multiple platform resolutions while preserving hard edges. Core Logic & Features: It performs palette-aware, nearest-neighbor resizing by default to keep crisp pixels. Optional methods such as bilinear or bicubic are available for non-pixel art. Batch processing enables queuing multiple images with consistent settings. Two input modes exist: specify target width/height or a single scale factor. The tool preserves transparency, supports indexed outputs (PNG-8) with optional dithering, and validates inputs (positive dimensions, non-zero scale). When a palette is provided, color remapping occurs during output generation and respects the chosen format. Inputs & Outputs: Inputs include input_image (file, required), width (pixels, optional), height (pixels, optional), scale_factor (float, optional), preserve_aspect (bool, default true), method (string enum), output_format (string enum), dithering (0-100, optional), color_palette (array of hex colors, optional). Outputs include output_image (file), width_out (px), height_out (px), final_palette (array, if palette-reduced), estimated_file_size (bytes). Algorithms & Calculations: If scale_factor > 0, width_out = round(width_in * scale_factor) and height_out = round(height_in * scale_factor) when preserve_aspect is true; otherwise explicit width_out/height_out are used. If output_format is indexed, input colors map to the nearest palette colors with optional dithering. Otherwise, resize uses full color depth. Non-integer results are rounded; negative values are rejected. Error & Edge Cases: Unsupported input formats trigger errors; large dimensions exceed limits, or missing required inputs trigger errors. Animated inputs require per-frame processing or conversion to still frames. Palette reductions may increase file size if dithering is avoided; report any degradation in quality. Industry/Region & Localization: Pixel measurements use pixels; color space is typically sRGB; outputs align with game-art pipelines; no locale-specific formatting required. Assumptions & Exclusions: Assumes static, non-animated inputs unless frames are provided; does not perform perceptual color management beyond palette remapping; external UI styling or backend integration specifics are outside scope.

How to Use

  1. Provide inputs: upload the source image and specify target width/height or a scale factor.
  2. Choose the interpolation method (nearest-neighbor recommended for pixel art).
  3. Enable palette-preserving options if you work with indexed colors, and set the output format.
  4. Run the resize to generate output_image and a summary of dimensions and palette usage.
  5. Download the result and verify pixel precision in your editor.
How to use lospec resizer

Frequently Asked Questions

Find Quick Answers

What formats are supported?
Input accepts standard formats such as PNG, GIF, and BMP. Output supports PNG-24 or PNG-8 depending on palette usage; animated inputs require frame-by-frame processing or pre- extraction.
Can I batch resize multiple files?
Yes. The tool accepts multiple input images in a queue and processes each item, producing a corresponding resized output with the same naming pattern. Batch results can be downloaded individually or as a package if supported.
How does palette preservation work?
If resizing indexed images or requesting a palette-limited output, colors are mapped to the nearest colors in the provided palette with optional dithering to reduce banding and preserve visual identity.
Is animation supported?
Animated inputs are not resized as a single operation. For animated GIFs, resize frames individually or convert to a still frame prior to resizing; keep animation handling separate.

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