Image Pixelate

The Image Pixelate tool converts any image into a pixelated (mosaic) version with configurable block size. Each block is filled with the average color of the original pixels in that region, creating the classic blocky look used for censoring faces, simulating retro 8-bit/16-bit aesthetics, or artistic stylization. Use for privacy (heavy pixelation effectively anonymizes subjects), nostalgia (remake modern photos in a retro game style), or creative effects.

Set block size from 2 pixels (very fine, subtle) to 100 pixels (very coarse, almost unrecognizable). Larger blocks mean more anonymization but less detail. The algorithm samples each block\u2019s center or averages pixels within to determine the fill color. Works with JPG, PNG, WebP, GIF, and BMP. Preserves transparency for PNG and WebP. All processing happens in your browser — important when using pixelation for privacy protection, since the original image stays local.

Pixelation algorithm:

1. Divide the image into a grid of N×N blocks (N = chosen block size)
2. For each block, determine a representative color:
- Average: mean of all pixel values in the block
- Center pixel: pixel at the block\u2019s center
- Sample: a specific corner or position in the block
3. Fill the entire block with that color
4. Result: image downsampled to block-grid resolution, then upscaled with nearest-neighbor

Block size determines the effect:
- 2-5 pixels: very fine, barely visible pixelation, subtle stylization
- 8-16 pixels: 8-bit/16-bit retro game aesthetic
- 20-50 pixels: heavy pixelation, good for privacy/censoring
- 50+ pixels: extreme, nearly unrecognizable

Privacy pixelation: small block sizes (1-5 pixels) are reversible with super-resolution or context-aware reconstruction. For true privacy, use block size of at least 15-20% of the feature size (face, license plate). A 50-pixel face needs at least 10-pixel blocks; better 15-20 pixel blocks for clear anonymization.

Downsampling method:
- Average: averages all pixels in the block. Smooth but slower. Most visually pleasing.
- Center: samples only the pixel at the block center. Faster but can look noisy.
- Max/min/median: less common, produces different looks.

Default is average for best balance of quality and speed.

Re-upsampling: blocks are rendered at full resolution with nearest-neighbor (hard edges, no interpolation). This preserves the blocky look. Bilinear interpolation would soften blocks (which you might want for a different effect, but then it\u2019s just blur, not pixelation).

Partial pixelation: some tools pixelate only a selected region (face, specific area). This tool pixelates the entire image; for selective pixelation, crop the region first, pixelate, then paste back using a graphics editor.

Performance: block-wise averaging is faster than per-pixel operations. Very large block sizes with very large images still take time but remain under a second for typical inputs.

CSS equivalent: not really — CSS has no built-in pixelate filter. Requires Canvas-based manipulation as this tool does.

Compared to Photoshop Mosaic filter, this tool is free and instant. Photoshop offers more sophisticated mosaic variations and selective application; this tool is for quick whole-image pixelation.

Compared to AI de-identification tools, simple pixelation is less precise but doesn\u2019t rely on face detection. AI tools can selectively pixelate only faces but may miss some; manual pixelation of known regions is guaranteed.

Compared to blur, pixelation produces sharper block boundaries while blur produces smooth gradients. Pixelation looks distinctive and stylized; blur looks natural. Use based on aesthetic preference and context.