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Convert typed text to realistic handwriting!

Home Page: https://www.npmjs.com/package/handwritten.js

License: MIT License

JavaScript 100.00%

handwritten.js's Introduction

Welcome to handwritten.js ๐Ÿ‘‹

Version License: MIT

Convert typed text to realistic handwriting!

In your code:

Installation

npm install --save handwritten.js

Usage

const handwritten = require('handwritten.js')
const fs = require('fs')
handwritten("Hello, world!").then((converted) => {
    converted.pipe(fs.createWriteStream('output.pdf'))
})

Command line usage:

Using without installation

npx handwritten.js "relative/path/to/file.txt"

Note: Use this method only if you plan to use handwritten.js for one time, installing handwritten.js globally (see-below) is recommended for multiple time usages.

Installation

npm install handwritten.js -g

Note: DO NOT use sudo to install global packages! The correct way is to tell npm where to install its global packages: npm config set prefix ~/.local. Make sure ~/.local/bin is added to PATH.

Usage after installation

handwritten.js "/absolute/path/to/file.txt"

API

Command line

handwritten.js path/to/input.txt path/to/output.pdf

The second argument is optional. If not specified, the output pdf will be saved as output.pdf in the current directory.

In code

await handwritten(inputText, outputType)

The second argument is optional. If not specified, it will default to "pdf". Supported output types are: "pdf", "jpeg/buf", "jpeg/b64", "png/buf" and "png/b64". If the output type is set to "pdf", it returns a promise that will resolve in a pdfkit document instance. Else it will return a promise that will resolve in an array containing the buffer or base64 value of the images according to the output type you provided.

Screenshot

lorem-ipsum.jpeg

Author

๐Ÿ‘ค Rahil Kabani [email protected]

Show your support

Give a โญ๏ธ if this project helped you!

๐Ÿค Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

Credits

GDGVIT/HandWriter - For the cleaned dataset.

Handwritten.JS

๐Ÿ  Homepage

License

MIT

handwritten.js's People

Contributors

alias-rahil avatar newyork-anthonyng avatar dependabot[bot] avatar

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