PixelFresh

Generate a pHash Online
100% in your browser, no upload

PixelFresh computes a perceptual hash (pHash) for your images directly in the browser, so you can fingerprint pictures and spot near-duplicates in seconds. Every step runs on your own device using JavaScript and the HTML canvas — nothing is ever uploaded to a server. Drop in one or more images and get a stable hash you can copy, compare, or reuse.

Choose an image

Free to use — images are processed locally and never leave your device.

How it works in 3 steps

1

Load your image

Drag and drop or select an image file. It stays on your device the whole time.

2

Compute the hash

PixelFresh reads the pixels and calculates the perceptual hash locally in your browser.

3

Copy or compare

Copy the pHash string, or add a second image to see how visually similar they are.

How PixelFresh computes your pHash

Canvas-based pixel analysis

The image is drawn to an HTML canvas, downscaled, and converted to grayscale so the tool can read raw pixel values without any server.

Perceptual hashing in JavaScript

From those pixels, PixelFresh derives a compact perceptual hash that stays stable across resizing and light edits, and it can compare two hashes by Hamming distance.

FAQ

A pHash, or perceptual hash, is a short fingerprint that represents how an image looks rather than its exact bytes. To make one online with PixelFresh, just load an image and the perceptual hash is computed instantly in your browser. Similar-looking images produce similar hashes, which makes it useful for finding near-duplicates.
Yes. PixelFresh is completely free and runs entirely in your browser with no upload. Your images are read locally using JavaScript and the canvas, so they never leave your device and nothing is stored on a server.
MD5 and other cryptographic hashes change completely if even one byte differs, so a resized or re-saved image looks entirely different. A pHash is designed to stay similar when the image looks similar, so it tolerates resizing, compression, and minor edits. That makes pHash better for detecting visually duplicate or near-duplicate images.
Yes. Load two images and PixelFresh computes a perceptual hash for each, then measures the Hamming distance between them. A smaller distance means the images are more visually alike, which helps you gauge whether they are duplicates or variations of the same picture.
You can hash any common raster format your browser can decode, including JPEG, PNG, WebP, and GIF. The image is drawn to a canvas before hashing, so as long as it displays in your browser, PixelFresh can compute its pHash locally.
No installation is required. PixelFresh works in any modern browser with no plugins, sign-up, or downloads. Because all processing is client-side, you can even use it offline once the page has loaded.

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