Fast node library which implements many hashing algorithms and media manipulation bindings into a friendly API which discards the use of ML (Machine Learning) for image semelliance level classsification trough the use of pure math.

📒 Check our Documentation!

Give it a try 🌸

npm i hikaku

🖼️ It's simple as:

import hikaku from  'hikaku';

async function someFunction() {
const result = await hikaku.compare('./example.png', './example2.png', { humanize: true });
// => { distance: 'different', hash: { hashA: '...', hashB: '...' } }
}

📝 ToDo List - Please, contribute!

• [x] Implement Dhash (Difference Hash)

• [x] Cleanup code & comments

• [x] Publish first release to GitHub

• [x] Make it able to be posted in NPM

• [x] Publish first release to NPM

• [x] Full Typescript conversion

• [x] Ensure support for cross-comparisons between strings and buffers

• [x] Implement pHash (Perceptual Hash)

• [x] Modernize our code's structure

  • [x] Function to Class structure conversion
  • [x] Convert algorithm functions to classes
  • [x] Assert typings to algorithms
  • [x] Humanize comparison results

• [x] Write a detailed documentation

• [x] First hikaku's major release