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Free Python Library to Load & Convert HTML/Image Files

Open Source Python Library for Loading and Converting HTML & Image Files. Developers Can Take HTML Content, Render It as a Web Page, and then Capture It as an Image.

In the world of web development, it often becomes necessary to generate images from HTML content. Whether you're building a website or an application, there are various situations where you might need to convert HTML into images, and that's where the IMGKit library comes into play. There are several important features part of the library, such as taking screenshots of web pages, generating visual reports from HTML documents, converting HTML emails into images, generating shareable images from HTML content, generate images from dynamic web content and many more.

IMGKit is an open-source Python library that acts as a wrapper around the popular HTML to image conversion tool, wkhtmltopdf. Essentially, it allows Software developers to take HTML content, render it as a web page, and then capture it as an image. This can be particularly useful for generating dynamic content, reports, or even screenshots of web pages. It is an excellent solution for those who want to automate the process of generating images from HTML, and it provides a wide range of customization options to meet your specific needs.

IMGKit is a versatile and powerful tool for converting HTML content to images, making it a valuable asset in the web development and automation toolkit. It is a versatile Python library that simplifies the process of converting HTML content into images. Its integration with "wkhtmltoimage" ensures high-quality image generation while providing customization options to suit various use cases. Whether you need to create screenshots of web pages, generate reports, or share HTML content on social media, IMGKit is a valuable tool in your toolkit. So, give it a try and start converting your HTML content into stunning images today!

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Getting Started with IMGKit

The recommended and easiest way to install IMGKit is using Composer, the dependency management tool for PHP. Please use the following command a smooth installation.

Install IMGKit via pip

pip install imgkit 

You can also install it manually; download the latest release files directly from GitHub repository.

HTML to Image Conversion via Python API

The open source IMGKit library has provided a very useful features for loading an existing HTML file and convert it to image files inside Python applications. The library supports various ways for generating high-quality images from HTML content, including web pages, styled documents, and more. Moreover, it is very handy for taking screenshots of web pages. You can specify a URL as the source, rendering the website as an image. Below is a basic example of how you can use IMGKit to convert an HTML file to an image inside Python API.

How to Convert an HTML File to Image using Python Code?

import imgkit

html = '

Hello, IMGKit!

' imgkit.from_string(html, 'output.jpg')

Advanced Customization Support

The open source IMGKit library is very easy to handle and offers a plethora of options for customization. Software developers can control the size, format, quality, and more of the output image. Here's an example that demonstrates how software developers can define an 'options' dictionary to specify the format, quality, width, and height of the output image inside Python applications.

How to Control the Size, Format and Quality of Output Image via Python API?

import imgkit

options = {
    'format': 'png',
    'quality': 100,
    'width': 800,
    'height': 600
}

html = '

Customized IMGKit!

' imgkit.from_string(html, 'output.png', options=options)

Miscellaneous Imaging Features

The open source IMGKit library has included several important features for working with HTML files. Use IMGKit in automated workflows to generate images from dynamic web content, allowing for further analysis or archiving. With just a couple of lines of code users can create shareable images from HTML content, such as blog posts or product listings, for social media platforms. It is also possible to convert HTML emails into images, ensuring consistent rendering across email clients.