How is this different from the Random PNG Generator?

The Random PNG Generator draws an independent random value for each of red, green, and blue per pixel, producing colorful static, while this tool draws one random gray value per pixel and applies it equally to all three channels, producing classic black/white/gray TV static instead.

What does 'seed' control?

The seed initializes a deterministic pseudo-random number generator (mulberry32); the same seed and dimensions always produce byte-for-byte identical noise, so an exact static pattern can be reproduced or shared just by sharing its seed.

Is the output ever colored?

No, since red, green, and blue are always set to the same value per pixel, the image is always strictly grayscale, ranging from black (0) to white (255).

How large can the generated image be?

Up to 4096x4096 pixels, though very large sizes take longer since every pixel requires its own random draw.

White Noise PNG Generator - Grayscale TV Static Image Maker

Overview

Introduction

This tool generates a grayscale PNG of classic black-and-white TV static, entirely in your browser.

Because generation is seeded, you can reproduce the exact same static pattern again later, which is useful for testing, fixtures, or recreating a texture you liked.

What Is White Noise PNG Generator?

A grayscale noise generator that walks every pixel of a buffer and draws a single random 0-255 value per pixel, applying that same value to red, green, and blue so the result is always neutral gray, never colored.

The underlying algorithm is mulberry32, a small, fast, well-distributed 32-bit PRNG commonly used when JavaScript's built-in Math.random (which cannot be seeded) isn't suitable.

How White Noise PNG Generator Works

The seed is converted to an unsigned 32-bit integer and used to initialize the mulberry32 generator, which produces a repeatable stream of pseudo-random floats between 0 and 1.

For every pixel, exactly one value is drawn from that stream, scaled to 0-255, and written into the red, green, and blue channels alike, with alpha fixed at 255; because the stream order is fixed, the same seed and dimensions always reproduce the same static pattern.

When To Use White Noise PNG Generator

Use it whenever you need a grayscale static/noise texture: for testing image pipelines, generating a film-grain-style overlay, or a nostalgic 'no signal' TV screen effect.

The seed makes it useful for reproducible test fixtures where you need the 'same' noise texture across multiple runs.

Often used alongside Random PNG Generator and Empty PNG Creator.

Features

Advantages

Fully reproducible: the same seed and size always produce identical pixel data.
Always strictly grayscale, useful when a colored noise pattern like the Random PNG Generator's output wouldn't fit the use case.
Runs entirely client-side with no server round-trip or upload.

Limitations

mulberry32 is not cryptographically secure; do not use this output anywhere randomness needs to resist prediction or tampering.
There's no control over the noise's brightness distribution — values are drawn uniformly across the full 0-255 range with no contrast or bias adjustment.

Examples

Small reproducible static swatch

Input

width=4, height=4, seed=42

Output

A 4x4 grayscale PNG of TV static; regenerating with seed=42 again produces the identical 16 pixels

Seeding guarantees the same pseudo-random sequence, so the image is fully reproducible.

Different seed, different pattern

Input

width=8, height=8, seed=1 vs seed=2

Output

Two visually distinct 8x8 grayscale static images

Changing the seed changes the entire pseudo-random sequence from the first pixel onward.

Best Practices & Notes

Best Practices

Record the seed alongside any generated static pattern you want to reproduce later.
Use small sizes for quick previews before generating a large, slower-to-render canvas.

Developer Notes

generateWhiteNoisePng is a pure function with no DOM dependency; the mulberry32 PRNG is implemented locally in this file (per this codebase's convention of duplicating the small helper per tool rather than sharing it), drawing exactly one random value per pixel and reusing it across all three color channels.

White Noise PNG Generator Use Cases

Generating a grayscale film-grain or noise overlay texture
Creating a nostalgic 'no signal' TV static image
Producing a reproducible grayscale noise fixture for testing

Common Mistakes

Expecting colored static — this tool always produces neutral gray pixels, unlike the Random PNG Generator.
Forgetting to save the seed, then being unable to regenerate a previously-liked noise pattern.

Tips

Try a range of small seeds (1, 2, 3...) to quickly browse different static patterns.
Layer the output at low opacity over another image (using an external editor) for a quick film-grain effect.

White Noise PNG Generator